Faculty Syllabus

Welcome to MATH 1342 – Elementary Statistics
Spring 2026 Syllabus
THE BASICS
About Your Instructor
Name: Paul “Muse” Ritter, PhD
The best way to reach me is: Email
Email: paul.ritter@austincc.edu
Office location: RVS RVSG 9139
Office hours: M: 3:00 PM – 4:00 PM, W: 12:15 PM – 1:15 PM
To schedule a conference outside of office hours: Email me
About Your Course
Instructional Methodology:
Classroom Section: This course is taught in the classroom primarily as a lecture/discussion course.
Synonym: 34127Section: 020
Meeting location: RVS RVSG 9142Meeting times: MW: 1:30 PM – 2:50 PM
Prerequisites: NCBM 0142, MATD 0342 or MATD 0485; with a grade of C or higher. Or a satisfactory score on the TSI Mathematics Assessment or completion of TSI requirements in mathematics.
Required Materials
This is a First Day™ class. The cost of required course materials, including an online version of the textbook and software access, has been added to your tuition and fees bill.
1
Textbook: Statistics: Unlocking the Power of Data, 3rd Edition by Lock, Lock, Lock Morgan, Lock, Lock. Wiley (WileyPlus software) ISBN: 9781119682288
2
Access to videos: of examples and explanations
3
Access to Statistical Applets: for students to explore the concepts
4
Required Technology:
●
Scientific calculator
●
Internet access to use the statistical software StatKey, the Visualize applets, and the material in WileyPlus.
COURSE CALENDAR
Note: Schedule changes may occur during the semester. Any changes will be announced in class and posted as a Blackboard Announcement.
Week
Sections
Material
1
1.1, 1.2
The Structure of Data, Sampling from a Population
2
1.3, 2.1, 2.2
Experiments and Observational Studies, Categorical Variables, One Quantitative Variable: Shape and Center
3
2.3, 2.4
One Quantitative Variable: Measures of Spread, Boxplots and Quantitative/Categorical Relationships
4
Test 1, 2.5
Two Quantitative Variables: Scatterplots and Correlation
5
2.6, Unit A
Two Quantitative Variables: Linear Regression, Essential Synthesis
6
P.1, 3.1
Probability Rules, Sampling Distributions
7
3.2 – 3.4
Understanding and Interpreting Confidence Intervals, Constructing Bootstrap Confidence Intervals Using Standard Error and Percentiles
8
Test 2, 4.1
Introducing Hypothesis Tests
9
4.2, 4.3, 4.4(a)
Measuring Evidence with P-values, Determining Statistical Signficance, A Closer Look at Testing
10
4.5, Unit B, 5.1
Making Connections, Hypothesis Tests Using Normal Distributions
11
6.1, 6.3
Inference for a Proportion and for a Difference in Proportions (Distribution, Confidence Intervals, Hypothesis Tests)
12
Test 3, 6.2
Inference for a Mean (Distribution, Confidence Intervals, Hypothesis Tests)
13
6.4, 6.5, Unit C
Inference for a Difference of Means or a Paired Difference in Means (Distribution, Confidence Intervals, Hypothesis Tests)
14
7.2, 8.1
Testing for an Association between Two Categorical Variables, Analysis of Variance (ANOVA)
15
9.3, 10.1
Inference for Regression: Confidence and Prediction Intervals, Multiple Predictors
16
Test 4
Important Dates
Last day to withdraw: Monday, April 27
Holidays: MLK Jr Day: Monday, January 19; Spring Break: Monday, March 16 thru Friday, March 20
(Please note these are the ONLY holidays this semester.)
Making Time to Learn
We learn math by thinking about and working on mathematical problems, which takes time. Practice is crucial in a math course. To ensure that you have adequate time, set aside 8-12 hours per week outside of class time to practice and study for this course. Ask for help immediately when something isn’t clear.
GETTING HELP
ACC provides several free resources for students who need help; descriptions and links are below:
Office hours: Another name for office hours is “student hours.” This is the time your instructor has set aside to answer student questions, so feel free to drop by if you have questions. Office hours may be virtual or on campus; see information above.
Instructional Associates: Instructional Associates specific to the course you are taking are available for tutoring. To make an appointment, go to https://sites.google.com/a/austincc.edu/math-students/meet/list and then click on your course.
Learning Labs: The ACC Learning Labs provide tutoring in math and other subjects. To schedule an appointment, go to https://www.austincc.edu/students/learning-lab. This site includes information about in person and virtual tutoring options.
Academic Coaching: Academic coaches offer extra support to students with study strategies; they want to help you learn to be an active participant in your own learning process. For more information or to make an appointment with an academic coach, go to https://www.austincc.edu/students/academic-coaching.
ACC Student Services: Services are offered in many areas, including Academic, Financial, Personal, and Technology Support. For more information, go to https://www.austincc.edu/student-support.
GRADES
Grade Components
Tests: 80%
Written Homework: 10%
Wiley Plus Homework: 10%
Grading Scale
A: 90 - 100
B: 80 – 89
C: 70 – 79
D: 60 – 69
F: < 60
Where can I find my grades?
Grades will be posted in Blackboard under course grade.
What will we do in this class?
Tests:
•
Exam 1 covering sections 1.1 – 1.3, 2.1 – 2.4 in class on Monday, February 9
•
Exam 2 covering sections 2.5, 2.6, P*, 3.1 – 3.4 in class on Monday, March 9
•
Exam 3 covering sections 4.1 – 4.3, 4.4(a), 4.5, 5.1, 6.1, 6.3 in class on Monday, April 13
•
Exam 4 covering sections 6.2, 6.4, 6.5, 7.2, 8.1, 9.3, 10.1 in class on Wednesday, May 13
All exams will take place in class. Contact me immediately if you think you may have a conflict with a test
date. I must be notified no later that the date and time of the missed exam. A make-up exam will be
arranged only for illness or an emergency, with appropriate documentation. If you miss an exam and did
not contact me by the test date and couldn’t provide documentation a grade of 0 will be entered.
However, up to one missed exam or your lowest exam score may be replaced by the exam 4 grade. Exam 4
counts toward your grade even if it is not being used to replace a previous exam grade. In the event that
exam 4 is used to replace a test score, it counts as two tests in your final grade calculation. If on any exam
you use methods more advanced or different from what was shown in class, you may receive a 0 on that
problem until you come to office hours and explain your rationale and work.
Written Homework:
•
HW 1A covering sections 1.1 – 1.3 due on Monday, February 2
•
HW 1B covering sections 2.1 – 2.4 due on Monday, February 9
•
HW 2A covering sections 2.5, 2.6, P* due on Monday, February 23
•
HW 2B covering sections 3.1 – 3.2 due on Monday, March 2
•
HW 2C covering sections 3.3 – 3.4 due on Monday, March 9
•
HW 3A covering sections 4.1 – 4.3 due on Wednesday, March 25
•
HW 3B covering sections 4.4(a), 4.5, 5.1 due on Wednesday, April 1
•
HW 3C covering sections 6.1 and 6.3 due on Wednesday, April 8
•
HW 4A covering sections 6.2, 6.4, 6.5 due on Monday, April 27
•
HW 4B covering sections 7.2 and 8.1 due on Monday, May 4
•
HW 4C covering sections 9.3 and 10.1 due on Monday, May 11
Wiley Plus Assignments:
•
1.1 – 1.3, 2.1 – 2.4, due on Monday, February 9
•
2.5, 2.6, P*, 3.1 – 3.4, due on Monday, March 9
•
4.1 – 4.4(a), 4.5, 5.1, 6.1, 6.3, due on Monday, April 13
•
6.2, 6.4, 6.5, 7.2, 8.1, 9.3, 10. 1, due on Wednesday, May 13
What happens if I miss something?
Late Policy for WileyPLUS Homework: A 10% penalty will be applied to WileyPlus assignments submitted after the due date. An additional 20% penalty will applied for 7 or more days after the due date.
Late Policy for Written Homework: Late Written Homework will only be accepted if there was an illness or extenuating circumstance, and documentation must be provided.
Missed Exam Policy: Makeup exams will be given if there is a legitimate reason such as an illness. Documentation for the illness or the extenuating circumstance must be provided. If you cannot take the exam due to an illness or extenuating circumstance, you must notify me no later than the date and time of the missed exam. If you miss an exam and fail notify by this time and/or cannot provide documentation of an illness or extenuating circumstance a grade of 0 will be entered. No tests may be retaken under any circumstance.
Attendance/Class Participation Policy: Regular and punctual class and laboratory attendance is expected of all students. If attendance or compliance with other course policies is unsatisfactory, the instructor may withdraw students from the class.
What AI Resources are allowed?
Generative Artificial Intelligence (GAI) Policy: Generative AI (GAI) is a useful tool for exploration and learning. Use of GAI on unproctored work such as homework and independent learning is permitted, but caution is advised as not to become dependent on it. The purpose of assessments is to demonstrate what students are able to do independently. In this course, GAI includes Computer Algebra Systems (CAS) and any electronic tools that solve problems for students. Violations to GAI use policies are considered scholastic dishonesty and will be handled according to established departmental and college procedures. GAI may not be used on major assessments other than in cases where permissions are explicitly stated.
COURSE CONTENT
Course Description
Credit Hours: 3, Contact Hours: 3
MATH 1342 – Elementary Statistics (3-3-0). A first course in statistics for students in business; nursing; allied health; or the social, physical, or behavioral sciences; or for any student requiring knowledge of the fundamental procedures for data organization and analysis. Topics include frequency distributions, graphing, measures of location and variation, the binomial and normal distributions, z-scores, t-test, chi-square test, F-test, hypothesis testing, analysis of variance, regression, and correlation.
Course Rationale
Students will learn to
1
Determine the aspects of a question, if any, for which statistics can provide relevant information.
2
Analyze statistical studies, particularly regarding appropriate sampling and experimental design.
3
Select and use appropriate statistical analyses to get useful information from data.
4
Communicate knowledge using standard statistical language and also interpret it in non-technical language.
This course meets the Core Curriculum requirement in mathematics. It meets the requirement for an introductory statistics course for students in many majors such as business, health sciences, and social sciences.
Common Course Objectives
1
Interpret ideas of population versus sample, random variables, and techniques of descriptive statistics including frequency distributions, histograms, boxplots, and scatterplots.
2
Calculate and interpret measures of central tendency and dispersion, including mean, median, standard deviation, and quartiles.
3
Find and use empirical probabilities in bootstrap distributions to find confidence intervals and in randomization distributions to test hypotheses.
4
Find and use theoretical probabilities from normal, t, chi-squared and F distributions to form confidence intervals and test hypotheses. Apply the 95% rule to normal and to approximately normal distributions.
5
Analyze relationships between two quantitative variables using correlation and linear regression.
6
Analyze data presented in two-way tables to provide information about relationships between categorical variables.
7
Apply ideas of appropriate sampling techniques and experimental design to data production.
8
Use the sampling distributions of sample proportions and sample means to answer appropriate questions.
9
Estimate single means, difference of two means, single proportions and difference of two proportions using confidence intervals. Interpret the results.
10
Demonstrate skills in hypothesis testing for means and proportions, for single populations and comparison of two populations.
11
Demonstrate skills in hypothesis testing using chi-squared tests.
12
Demonstrate skills in inference for regression and ANOVA techniques.
Throughout the course, students will use statistical applets to do computations and produce graphical displays needed to analyze data. Students will do some statistical calculations by hand with a scientific calculator.
Student Learning Outcomes
Upon successful completion of the course, a student should be able to:
1
Explain the use of data collection and statistics as tools to reach reasonable conclusions.
2
Recognize, examine, and interpret the basic principles of describing and presenting data.
3
Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
4
Explain the role of probability in statistics.
5
Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
6
Describe and compute confidence intervals.
7
Solve linear regression and correlation problems.
8
Perform hypothesis testing using statistical methods.
Mathematics Program Student Learning Outcomes
1
Multiple Representations Students will demonstrate proficiency with multiple representations of functions and relations (verbal, numerical, graphical, symbolic) at the Calculus level.
2
Applications Students will be able to apply Calculus techniques to real world problems.
3
Technology Students will be able to make appropriate use of technology, based on conceptual knowledge, to supplement symbolic processes.
General Education Competencies
1
Communication Skills: Develop, interpret, and express ideas and information through written, oral, and visual communication that is adapted to purpose, structure, audience, and medium.
2
Critical Thinking: Gather, analyze, synthesize, evaluate, and apply information for the purposes of innovation, inquiry, and creative thinking.
3
Empirical and Quantitative Skills: Apply mathematical, logical, and scientific principles and methods through the manipulation and analysis of numerical data or observable facts resulting in informed conclusions.
THE DETAILS
First Day Access: To enhance your learning experience and provide affordable access to the right course material, this course is part of an inclusive access model called First Day™. You can easily access the required materials for this course through Blackboard, at a discounted price, and benefit from single sign-on access. Austin Community College includes the discounted price as a course fee in your registration fees for this course.
It is NOT recommended that you Opt Out, as these materials are required to complete the course. You can choose to Opt Out on the first day of class, but you will be responsible for purchasing your course materials at the full retail price and access to your materials may be suspended. See your course in Blackboard for details.
Withdrawal Policy: It is the responsibility of each student to ensure that his or her name is removed from the roll should he or she decide to withdraw from the class. The instructor does, however, reserve the right to drop a student should he or she feel it is necessary. If a student decides to withdraw, he or she should also verify that the withdrawal is submitted before the Final Withdrawal Date. The student is also strongly encouraged to retain their copy of the withdrawal form for their records.
Students who enroll for the third or subsequent time in a course taken since Fall 2002 may be charged a higher tuition rate for that course. State law permits students to withdraw from no more than six courses during their entire undergraduate career at Texas public colleges or universities. With certain exceptions, all course withdrawals automatically count towards this limit. Details regarding this policy can be found in the ACC college catalog.
Reinstatement Policy: Students who withdrew or were withdrawn will not be reinstated unless they have completed all coursework, projects, and exams necessary to place them at the same level of course completion as the rest of the class. Reinstatement is up to the instructor’s approval.
Incomplete Grade Policy: Incomplete grades (I) will be given only in very rare circumstances. Generally, to receive a grade of "I", a student must be up to date on coursework and have a passing grade, and after the last date to withdraw, have a legitimate reason that prevents course completion. An incomplete grade cannot be carried beyond the established date in the following semester. The completion date is determined by the instructor but may not be later than the final deadline for withdrawal in the subsequent semester.
Communication with Your Instructor: All e-mail communication to students will be sent solely to the student’s ACCmail account or math software if applicable, with the expectation that such communications will be read in a timely fashion. Likewise, students should use their ACCmail account or math software when communicating with instructors. Instructors will respond to student emails within 3 business days, if no response has been received by the student at the end of that time, then the student should send a reminder to the instructor.
Name Change Information: If you want to change how your name appears online at ACC, go to https://www.austincc.edu/admissions/update-student-information/chosen-name.
General College Policies: Policies that apply to all courses at ACC can be found here: https://www.austincc.edu/offices/academic-outcomes-assessment/master-syllabi/college-policies.

Welcome to MATH 1342 – Elementary Statistics
Spring 2026 Syllabus
THE BASICS
About Your Instructor
Name: Paul “Muse” Ritter, PhD
The best way to reach me is: Email
Email: paul.ritter@austincc.edu
Office location: RVS RVSG 9139
Office hours: M: 3:00 PM – 4:00 PM, W: 12:15 PM – 1:15 PM
To schedule a conference outside of office hours: Email me
About Your Course
Instructional Methodology:
Classroom Section: This course is taught in the classroom primarily as a lecture/discussion course.
Synonym: 34127Section: 020
Meeting location: RVS RVSG 9142Meeting times: MW: 1:30 PM – 2:50 PM
Prerequisites: NCBM 0142, MATD 0342 or MATD 0485; with a grade of C or higher. Or a satisfactory score on the TSI Mathematics Assessment or completion of TSI requirements in mathematics.
Required Materials
This is a First Day™ class. The cost of required course materials, including an online version of the textbook and software access, has been added to your tuition and fees bill.
1
Textbook: Statistics: Unlocking the Power of Data, 3rd Edition by Lock, Lock, Lock Morgan, Lock, Lock. Wiley (WileyPlus software) ISBN: 9781119682288
2
Access to videos: of examples and explanations
3
Access to Statistical Applets: for students to explore the concepts
4
Required Technology:
●
Scientific calculator
●
Internet access to use the statistical software StatKey, the Visualize applets, and the material in WileyPlus.
COURSE CALENDAR
Note: Schedule changes may occur during the semester. Any changes will be announced in class and posted as a Blackboard Announcement.
Week
Sections
Material
1
1.1, 1.2
The Structure of Data, Sampling from a Population
2
1.3, 2.1, 2.2
Experiments and Observational Studies, Categorical Variables, One Quantitative Variable: Shape and Center
3
2.3, 2.4
One Quantitative Variable: Measures of Spread, Boxplots and Quantitative/Categorical Relationships
4
Test 1, 2.5
Two Quantitative Variables: Scatterplots and Correlation
5
2.6, Unit A
Two Quantitative Variables: Linear Regression, Essential Synthesis
6
P.1, 3.1
Probability Rules, Sampling Distributions
7
3.2 – 3.4
Understanding and Interpreting Confidence Intervals, Constructing Bootstrap Confidence Intervals Using Standard Error and Percentiles
8
Test 2, 4.1
Introducing Hypothesis Tests
9
4.2, 4.3, 4.4(a)
Measuring Evidence with P-values, Determining Statistical Signficance, A Closer Look at Testing
10
4.5, Unit B, 5.1
Making Connections, Hypothesis Tests Using Normal Distributions
11
6.1, 6.3
Inference for a Proportion and for a Difference in Proportions (Distribution, Confidence Intervals, Hypothesis Tests)
12
Test 3, 6.2
Inference for a Mean (Distribution, Confidence Intervals, Hypothesis Tests)
13
6.4, 6.5, Unit C
Inference for a Difference of Means or a Paired Difference in Means (Distribution, Confidence Intervals, Hypothesis Tests)
14
7.2, 8.1
Testing for an Association between Two Categorical Variables, Analysis of Variance (ANOVA)
15
9.3, 10.1
Inference for Regression: Confidence and Prediction Intervals, Multiple Predictors
16
Test 4
Important Dates
Last day to withdraw: Monday, April 27
Holidays: MLK Jr Day: Monday, January 19; Spring Break: Monday, March 16 thru Friday, March 20
(Please note these are the ONLY holidays this semester.)
Making Time to Learn
We learn math by thinking about and working on mathematical problems, which takes time. Practice is crucial in a math course. To ensure that you have adequate time, set aside 8-12 hours per week outside of class time to practice and study for this course. Ask for help immediately when something isn’t clear.
GETTING HELP
ACC provides several free resources for students who need help; descriptions and links are below:
Office hours: Another name for office hours is “student hours.” This is the time your instructor has set aside to answer student questions, so feel free to drop by if you have questions. Office hours may be virtual or on campus; see information above.
Instructional Associates: Instructional Associates specific to the course you are taking are available for tutoring. To make an appointment, go to https://sites.google.com/a/austincc.edu/math-students/meet/list and then click on your course.
Learning Labs: The ACC Learning Labs provide tutoring in math and other subjects. To schedule an appointment, go to https://www.austincc.edu/students/learning-lab. This site includes information about in person and virtual tutoring options.
Academic Coaching: Academic coaches offer extra support to students with study strategies; they want to help you learn to be an active participant in your own learning process. For more information or to make an appointment with an academic coach, go to https://www.austincc.edu/students/academic-coaching.
ACC Student Services: Services are offered in many areas, including Academic, Financial, Personal, and Technology Support. For more information, go to https://www.austincc.edu/student-support.
GRADES
Grade Components
Tests: 80%
Written Homework: 10%
Wiley Plus Homework: 10%
Grading Scale
A: 90 - 100
B: 80 – 89
C: 70 – 79
D: 60 – 69
F: < 60
Where can I find my grades?
Grades will be posted in Blackboard under course grade.
What will we do in this class?
Tests:
•
Exam 1 covering sections 1.1 – 1.3, 2.1 – 2.4 in class on Monday, February 9
•
Exam 2 covering sections 2.5, 2.6, P*, 3.1 – 3.4 in class on Monday, March 9
•
Exam 3 covering sections 4.1 – 4.3, 4.4(a), 4.5, 5.1, 6.1, 6.3 in class on Monday, April 13
•
Exam 4 covering sections 6.2, 6.4, 6.5, 7.2, 8.1, 9.3, 10.1 in class on Wednesday, May 13
All exams will take place in class. Contact me immediately if you think you may have a conflict with a test
date. I must be notified no later that the date and time of the missed exam. A make-up exam will be
arranged only for illness or an emergency, with appropriate documentation. If you miss an exam and did
not contact me by the test date and couldn’t provide documentation a grade of 0 will be entered.
However, up to one missed exam or your lowest exam score may be replaced by the exam 4 grade. Exam 4
counts toward your grade even if it is not being used to replace a previous exam grade. In the event that
exam 4 is used to replace a test score, it counts as two tests in your final grade calculation. If on any exam
you use methods more advanced or different from what was shown in class, you may receive a 0 on that
problem until you come to office hours and explain your rationale and work.
Written Homework:
•
HW 1A covering sections 1.1 – 1.3 due on Monday, February 2
•
HW 1B covering sections 2.1 – 2.4 due on Monday, February 9
•
HW 2A covering sections 2.5, 2.6, P* due on Monday, February 23
•
HW 2B covering sections 3.1 – 3.2 due on Monday, March 2
•
HW 2C covering sections 3.3 – 3.4 due on Monday, March 9
•
HW 3A covering sections 4.1 – 4.3 due on Wednesday, March 25
•
HW 3B covering sections 4.4(a), 4.5, 5.1 due on Wednesday, April 1
•
HW 3C covering sections 6.1 and 6.3 due on Wednesday, April 8
•
HW 4A covering sections 6.2, 6.4, 6.5 due on Monday, April 27
•
HW 4B covering sections 7.2 and 8.1 due on Monday, May 4
•
HW 4C covering sections 9.3 and 10.1 due on Monday, May 11
Wiley Plus Assignments:
•
1.1 – 1.3, 2.1 – 2.4, due on Monday, February 9
•
2.5, 2.6, P*, 3.1 – 3.4, due on Monday, March 9
•
4.1 – 4.4(a), 4.5, 5.1, 6.1, 6.3, due on Monday, April 13
•
6.2, 6.4, 6.5, 7.2, 8.1, 9.3, 10. 1, due on Wednesday, May 13
What happens if I miss something?
Late Policy for WileyPLUS Homework: A 10% penalty will be applied to WileyPlus assignments submitted after the due date. An additional 20% penalty will applied for 7 or more days after the due date.
Late Policy for Written Homework: Late Written Homework will only be accepted if there was an illness or extenuating circumstance, and documentation must be provided.
Missed Exam Policy: Makeup exams will be given if there is a legitimate reason such as an illness. Documentation for the illness or the extenuating circumstance must be provided. If you cannot take the exam due to an illness or extenuating circumstance, you must notify me no later than the date and time of the missed exam. If you miss an exam and fail notify by this time and/or cannot provide documentation of an illness or extenuating circumstance a grade of 0 will be entered. No tests may be retaken under any circumstance.
Attendance/Class Participation Policy: Regular and punctual class and laboratory attendance is expected of all students. If attendance or compliance with other course policies is unsatisfactory, the instructor may withdraw students from the class.
What AI Resources are allowed?
Generative Artificial Intelligence (GAI) Policy: Generative AI (GAI) is a useful tool for exploration and learning. Use of GAI on unproctored work such as homework and independent learning is permitted, but caution is advised as not to become dependent on it. The purpose of assessments is to demonstrate what students are able to do independently. In this course, GAI includes Computer Algebra Systems (CAS) and any electronic tools that solve problems for students. Violations to GAI use policies are considered scholastic dishonesty and will be handled according to established departmental and college procedures. GAI may not be used on major assessments other than in cases where permissions are explicitly stated.
COURSE CONTENT
Course Description
Credit Hours: 3, Contact Hours: 3
MATH 1342 – Elementary Statistics (3-3-0). A first course in statistics for students in business; nursing; allied health; or the social, physical, or behavioral sciences; or for any student requiring knowledge of the fundamental procedures for data organization and analysis. Topics include frequency distributions, graphing, measures of location and variation, the binomial and normal distributions, z-scores, t-test, chi-square test, F-test, hypothesis testing, analysis of variance, regression, and correlation.
Course Rationale
Students will learn to
1
Determine the aspects of a question, if any, for which statistics can provide relevant information.
2
Analyze statistical studies, particularly regarding appropriate sampling and experimental design.
3
Select and use appropriate statistical analyses to get useful information from data.
4
Communicate knowledge using standard statistical language and also interpret it in non-technical language.
This course meets the Core Curriculum requirement in mathematics. It meets the requirement for an introductory statistics course for students in many majors such as business, health sciences, and social sciences.
Common Course Objectives
1
Interpret ideas of population versus sample, random variables, and techniques of descriptive statistics including frequency distributions, histograms, boxplots, and scatterplots.
2
Calculate and interpret measures of central tendency and dispersion, including mean, median, standard deviation, and quartiles.
3
Find and use empirical probabilities in bootstrap distributions to find confidence intervals and in randomization distributions to test hypotheses.
4
Find and use theoretical probabilities from normal, t, chi-squared and F distributions to form confidence intervals and test hypotheses. Apply the 95% rule to normal and to approximately normal distributions.
5
Analyze relationships between two quantitative variables using correlation and linear regression.
6
Analyze data presented in two-way tables to provide information about relationships between categorical variables.
7
Apply ideas of appropriate sampling techniques and experimental design to data production.
8
Use the sampling distributions of sample proportions and sample means to answer appropriate questions.
9
Estimate single means, difference of two means, single proportions and difference of two proportions using confidence intervals. Interpret the results.
10
Demonstrate skills in hypothesis testing for means and proportions, for single populations and comparison of two populations.
11
Demonstrate skills in hypothesis testing using chi-squared tests.
12
Demonstrate skills in inference for regression and ANOVA techniques.
Throughout the course, students will use statistical applets to do computations and produce graphical displays needed to analyze data. Students will do some statistical calculations by hand with a scientific calculator.
Student Learning Outcomes
Upon successful completion of the course, a student should be able to:
1
Explain the use of data collection and statistics as tools to reach reasonable conclusions.
2
Recognize, examine, and interpret the basic principles of describing and presenting data.
3
Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
4
Explain the role of probability in statistics.
5
Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
6
Describe and compute confidence intervals.
7
Solve linear regression and correlation problems.
8
Perform hypothesis testing using statistical methods.
Mathematics Program Student Learning Outcomes
1
Multiple Representations Students will demonstrate proficiency with multiple representations of functions and relations (verbal, numerical, graphical, symbolic) at the Calculus level.
2
Applications Students will be able to apply Calculus techniques to real world problems.
3
Technology Students will be able to make appropriate use of technology, based on conceptual knowledge, to supplement symbolic processes.
General Education Competencies
1
Communication Skills: Develop, interpret, and express ideas and information through written, oral, and visual communication that is adapted to purpose, structure, audience, and medium.
2
Critical Thinking: Gather, analyze, synthesize, evaluate, and apply information for the purposes of innovation, inquiry, and creative thinking.
3
Empirical and Quantitative Skills: Apply mathematical, logical, and scientific principles and methods through the manipulation and analysis of numerical data or observable facts resulting in informed conclusions.
THE DETAILS
First Day Access: To enhance your learning experience and provide affordable access to the right course material, this course is part of an inclusive access model called First Day™. You can easily access the required materials for this course through Blackboard, at a discounted price, and benefit from single sign-on access. Austin Community College includes the discounted price as a course fee in your registration fees for this course.
It is NOT recommended that you Opt Out, as these materials are required to complete the course. You can choose to Opt Out on the first day of class, but you will be responsible for purchasing your course materials at the full retail price and access to your materials may be suspended. See your course in Blackboard for details.
Withdrawal Policy: It is the responsibility of each student to ensure that his or her name is removed from the roll should he or she decide to withdraw from the class. The instructor does, however, reserve the right to drop a student should he or she feel it is necessary. If a student decides to withdraw, he or she should also verify that the withdrawal is submitted before the Final Withdrawal Date. The student is also strongly encouraged to retain their copy of the withdrawal form for their records.
Students who enroll for the third or subsequent time in a course taken since Fall 2002 may be charged a higher tuition rate for that course. State law permits students to withdraw from no more than six courses during their entire undergraduate career at Texas public colleges or universities. With certain exceptions, all course withdrawals automatically count towards this limit. Details regarding this policy can be found in the ACC college catalog.
Reinstatement Policy: Students who withdrew or were withdrawn will not be reinstated unless they have completed all coursework, projects, and exams necessary to place them at the same level of course completion as the rest of the class. Reinstatement is up to the instructor’s approval.
Incomplete Grade Policy: Incomplete grades (I) will be given only in very rare circumstances. Generally, to receive a grade of "I", a student must be up to date on coursework and have a passing grade, and after the last date to withdraw, have a legitimate reason that prevents course completion. An incomplete grade cannot be carried beyond the established date in the following semester. The completion date is determined by the instructor but may not be later than the final deadline for withdrawal in the subsequent semester.
Communication with Your Instructor: All e-mail communication to students will be sent solely to the student’s ACCmail account or math software if applicable, with the expectation that such communications will be read in a timely fashion. Likewise, students should use their ACCmail account or math software when communicating with instructors. Instructors will respond to student emails within 3 business days, if no response has been received by the student at the end of that time, then the student should send a reminder to the instructor.
Name Change Information: If you want to change how your name appears online at ACC, go to https://www.austincc.edu/admissions/update-student-information/chosen-name.
General College Policies: Policies that apply to all courses at ACC can be found here: https://www.austincc.edu/offices/academic-outcomes-assessment/master-syllabi/college-policies.

Welcome to MATH 1342 – Elementary Statistics
Spring 2026 Syllabus
THE BASICS
About Your Instructor
Name: Paul “Muse” Ritter, PhD
The best way to reach me is: Email
Email: paul.ritter@austincc.edu
Office location: RVS RVSG 9139
Office hours: M: 3:00 PM – 4:00 PM, W: 12:15 PM – 1:15 PM
To schedule a conference outside of office hours: Email me
About Your Course
Instructional Methodology:
Classroom Section: This course is taught in the classroom primarily as a lecture/discussion course.
Synonym: 34127Section: 020
Meeting location: RVS RVSG 9142Meeting times: MW: 1:30 PM – 2:50 PM
Prerequisites: NCBM 0142, MATD 0342 or MATD 0485; with a grade of C or higher. Or a satisfactory score on the TSI Mathematics Assessment or completion of TSI requirements in mathematics.
Required Materials
This is a First Day™ class. The cost of required course materials, including an online version of the textbook and software access, has been added to your tuition and fees bill.
1
Textbook: Statistics: Unlocking the Power of Data, 3rd Edition by Lock, Lock, Lock Morgan, Lock, Lock. Wiley (WileyPlus software) ISBN: 9781119682288
2
Access to videos: of examples and explanations
3
Access to Statistical Applets: for students to explore the concepts
4
Required Technology:
●
Scientific calculator
●
Internet access to use the statistical software StatKey, the Visualize applets, and the material in WileyPlus.
COURSE CALENDAR
Note: Schedule changes may occur during the semester. Any changes will be announced in class and posted as a Blackboard Announcement.
Week
Sections
Material
1
1.1, 1.2
The Structure of Data, Sampling from a Population
2
1.3, 2.1, 2.2
Experiments and Observational Studies, Categorical Variables, One Quantitative Variable: Shape and Center
3
2.3, 2.4
One Quantitative Variable: Measures of Spread, Boxplots and Quantitative/Categorical Relationships
4
Test 1, 2.5
Two Quantitative Variables: Scatterplots and Correlation
5
2.6, Unit A
Two Quantitative Variables: Linear Regression, Essential Synthesis
6
P.1, 3.1
Probability Rules, Sampling Distributions
7
3.2 – 3.4
Understanding and Interpreting Confidence Intervals, Constructing Bootstrap Confidence Intervals Using Standard Error and Percentiles
8
Test 2, 4.1
Introducing Hypothesis Tests
9
4.2, 4.3, 4.4(a)
Measuring Evidence with P-values, Determining Statistical Signficance, A Closer Look at Testing
10
4.5, Unit B, 5.1
Making Connections, Hypothesis Tests Using Normal Distributions
11
6.1, 6.3
Inference for a Proportion and for a Difference in Proportions (Distribution, Confidence Intervals, Hypothesis Tests)
12
Test 3, 6.2
Inference for a Mean (Distribution, Confidence Intervals, Hypothesis Tests)
13
6.4, 6.5, Unit C
Inference for a Difference of Means or a Paired Difference in Means (Distribution, Confidence Intervals, Hypothesis Tests)
14
7.2, 8.1
Testing for an Association between Two Categorical Variables, Analysis of Variance (ANOVA)
15
9.3, 10.1
Inference for Regression: Confidence and Prediction Intervals, Multiple Predictors
16
Test 4
Important Dates
Last day to withdraw: Monday, April 27
Holidays: MLK Jr Day: Monday, January 19; Spring Break: Monday, March 16 thru Friday, March 20
(Please note these are the ONLY holidays this semester.)
Making Time to Learn
We learn math by thinking about and working on mathematical problems, which takes time. Practice is crucial in a math course. To ensure that you have adequate time, set aside 8-12 hours per week outside of class time to practice and study for this course. Ask for help immediately when something isn’t clear.
GETTING HELP
ACC provides several free resources for students who need help; descriptions and links are below:
Office hours: Another name for office hours is “student hours.” This is the time your instructor has set aside to answer student questions, so feel free to drop by if you have questions. Office hours may be virtual or on campus; see information above.
Instructional Associates: Instructional Associates specific to the course you are taking are available for tutoring. To make an appointment, go to https://sites.google.com/a/austincc.edu/math-students/meet/list and then click on your course.
Learning Labs: The ACC Learning Labs provide tutoring in math and other subjects. To schedule an appointment, go to https://www.austincc.edu/students/learning-lab. This site includes information about in person and virtual tutoring options.
Academic Coaching: Academic coaches offer extra support to students with study strategies; they want to help you learn to be an active participant in your own learning process. For more information or to make an appointment with an academic coach, go to https://www.austincc.edu/students/academic-coaching.
ACC Student Services: Services are offered in many areas, including Academic, Financial, Personal, and Technology Support. For more information, go to https://www.austincc.edu/student-support.
GRADES
Grade Components
Tests: 80%
Written Homework: 10%
Wiley Plus Homework: 10%
Grading Scale
A: 90 - 100
B: 80 – 89
C: 70 – 79
D: 60 – 69
F: < 60
Where can I find my grades?
Grades will be posted in Blackboard under course grade.
What will we do in this class?
Tests:
•
Exam 1 covering sections 1.1 – 1.3, 2.1 – 2.4 in class on Monday, February 9
•
Exam 2 covering sections 2.5, 2.6, P*, 3.1 – 3.4 in class on Monday, March 9
•
Exam 3 covering sections 4.1 – 4.3, 4.4(a), 4.5, 5.1, 6.1, 6.3 in class on Monday, April 13
•
Exam 4 covering sections 6.2, 6.4, 6.5, 7.2, 8.1, 9.3, 10.1 in class on Wednesday, May 13
All exams will take place in class. Contact me immediately if you think you may have a conflict with a test
date. I must be notified no later that the date and time of the missed exam. A make-up exam will be
arranged only for illness or an emergency, with appropriate documentation. If you miss an exam and did
not contact me by the test date and couldn’t provide documentation a grade of 0 will be entered.
However, up to one missed exam or your lowest exam score may be replaced by the exam 4 grade. Exam 4
counts toward your grade even if it is not being used to replace a previous exam grade. In the event that
exam 4 is used to replace a test score, it counts as two tests in your final grade calculation. If on any exam
you use methods more advanced or different from what was shown in class, you may receive a 0 on that
problem until you come to office hours and explain your rationale and work.
Written Homework:
•
HW 1A covering sections 1.1 – 1.3 due on Monday, February 2
•
HW 1B covering sections 2.1 – 2.4 due on Monday, February 9
•
HW 2A covering sections 2.5, 2.6, P* due on Monday, February 23
•
HW 2B covering sections 3.1 – 3.2 due on Monday, March 2
•
HW 2C covering sections 3.3 – 3.4 due on Monday, March 9
•
HW 3A covering sections 4.1 – 4.3 due on Wednesday, March 25
•
HW 3B covering sections 4.4(a), 4.5, 5.1 due on Wednesday, April 1
•
HW 3C covering sections 6.1 and 6.3 due on Wednesday, April 8
•
HW 4A covering sections 6.2, 6.4, 6.5 due on Monday, April 27
•
HW 4B covering sections 7.2 and 8.1 due on Monday, May 4
•
HW 4C covering sections 9.3 and 10.1 due on Monday, May 11
Wiley Plus Assignments:
•
1.1 – 1.3, 2.1 – 2.4, due on Monday, February 9
•
2.5, 2.6, P*, 3.1 – 3.4, due on Monday, March 9
•
4.1 – 4.4(a), 4.5, 5.1, 6.1, 6.3, due on Monday, April 13
•
6.2, 6.4, 6.5, 7.2, 8.1, 9.3, 10. 1, due on Wednesday, May 13
What happens if I miss something?
Late Policy for WileyPLUS Homework: A 10% penalty will be applied to WileyPlus assignments submitted after the due date. An additional 20% penalty will applied for 7 or more days after the due date.
Late Policy for Written Homework: Late Written Homework will only be accepted if there was an illness or extenuating circumstance, and documentation must be provided.
Missed Exam Policy: Makeup exams will be given if there is a legitimate reason such as an illness. Documentation for the illness or the extenuating circumstance must be provided. If you cannot take the exam due to an illness or extenuating circumstance, you must notify me no later than the date and time of the missed exam. If you miss an exam and fail notify by this time and/or cannot provide documentation of an illness or extenuating circumstance a grade of 0 will be entered. No tests may be retaken under any circumstance.
Attendance/Class Participation Policy: Regular and punctual class and laboratory attendance is expected of all students. If attendance or compliance with other course policies is unsatisfactory, the instructor may withdraw students from the class.
What AI Resources are allowed?
Generative Artificial Intelligence (GAI) Policy: Generative AI (GAI) is a useful tool for exploration and learning. Use of GAI on unproctored work such as homework and independent learning is permitted, but caution is advised as not to become dependent on it. The purpose of assessments is to demonstrate what students are able to do independently. In this course, GAI includes Computer Algebra Systems (CAS) and any electronic tools that solve problems for students. Violations to GAI use policies are considered scholastic dishonesty and will be handled according to established departmental and college procedures. GAI may not be used on major assessments other than in cases where permissions are explicitly stated.
COURSE CONTENT
Course Description
Credit Hours: 3, Contact Hours: 3
MATH 1342 – Elementary Statistics (3-3-0). A first course in statistics for students in business; nursing; allied health; or the social, physical, or behavioral sciences; or for any student requiring knowledge of the fundamental procedures for data organization and analysis. Topics include frequency distributions, graphing, measures of location and variation, the binomial and normal distributions, z-scores, t-test, chi-square test, F-test, hypothesis testing, analysis of variance, regression, and correlation.
Course Rationale
Students will learn to
1
Determine the aspects of a question, if any, for which statistics can provide relevant information.
2
Analyze statistical studies, particularly regarding appropriate sampling and experimental design.
3
Select and use appropriate statistical analyses to get useful information from data.
4
Communicate knowledge using standard statistical language and also interpret it in non-technical language.
This course meets the Core Curriculum requirement in mathematics. It meets the requirement for an introductory statistics course for students in many majors such as business, health sciences, and social sciences.
Common Course Objectives
1
Interpret ideas of population versus sample, random variables, and techniques of descriptive statistics including frequency distributions, histograms, boxplots, and scatterplots.
2
Calculate and interpret measures of central tendency and dispersion, including mean, median, standard deviation, and quartiles.
3
Find and use empirical probabilities in bootstrap distributions to find confidence intervals and in randomization distributions to test hypotheses.
4
Find and use theoretical probabilities from normal, t, chi-squared and F distributions to form confidence intervals and test hypotheses. Apply the 95% rule to normal and to approximately normal distributions.
5
Analyze relationships between two quantitative variables using correlation and linear regression.
6
Analyze data presented in two-way tables to provide information about relationships between categorical variables.
7
Apply ideas of appropriate sampling techniques and experimental design to data production.
8
Use the sampling distributions of sample proportions and sample means to answer appropriate questions.
9
Estimate single means, difference of two means, single proportions and difference of two proportions using confidence intervals. Interpret the results.
10
Demonstrate skills in hypothesis testing for means and proportions, for single populations and comparison of two populations.
11
Demonstrate skills in hypothesis testing using chi-squared tests.
12
Demonstrate skills in inference for regression and ANOVA techniques.
Throughout the course, students will use statistical applets to do computations and produce graphical displays needed to analyze data. Students will do some statistical calculations by hand with a scientific calculator.
Student Learning Outcomes
Upon successful completion of the course, a student should be able to:
1
Explain the use of data collection and statistics as tools to reach reasonable conclusions.
2
Recognize, examine, and interpret the basic principles of describing and presenting data.
3
Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
4
Explain the role of probability in statistics.
5
Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
6
Describe and compute confidence intervals.
7
Solve linear regression and correlation problems.
8
Perform hypothesis testing using statistical methods.
Mathematics Program Student Learning Outcomes
1
Multiple Representations Students will demonstrate proficiency with multiple representations of functions and relations (verbal, numerical, graphical, symbolic) at the Calculus level.
2
Applications Students will be able to apply Calculus techniques to real world problems.
3
Technology Students will be able to make appropriate use of technology, based on conceptual knowledge, to supplement symbolic processes.
General Education Competencies
1
Communication Skills: Develop, interpret, and express ideas and information through written, oral, and visual communication that is adapted to purpose, structure, audience, and medium.
2
Critical Thinking: Gather, analyze, synthesize, evaluate, and apply information for the purposes of innovation, inquiry, and creative thinking.
3
Empirical and Quantitative Skills: Apply mathematical, logical, and scientific principles and methods through the manipulation and analysis of numerical data or observable facts resulting in informed conclusions.
THE DETAILS
First Day Access: To enhance your learning experience and provide affordable access to the right course material, this course is part of an inclusive access model called First Day™. You can easily access the required materials for this course through Blackboard, at a discounted price, and benefit from single sign-on access. Austin Community College includes the discounted price as a course fee in your registration fees for this course.
It is NOT recommended that you Opt Out, as these materials are required to complete the course. You can choose to Opt Out on the first day of class, but you will be responsible for purchasing your course materials at the full retail price and access to your materials may be suspended. See your course in Blackboard for details.
Withdrawal Policy: It is the responsibility of each student to ensure that his or her name is removed from the roll should he or she decide to withdraw from the class. The instructor does, however, reserve the right to drop a student should he or she feel it is necessary. If a student decides to withdraw, he or she should also verify that the withdrawal is submitted before the Final Withdrawal Date. The student is also strongly encouraged to retain their copy of the withdrawal form for their records.
Students who enroll for the third or subsequent time in a course taken since Fall 2002 may be charged a higher tuition rate for that course. State law permits students to withdraw from no more than six courses during their entire undergraduate career at Texas public colleges or universities. With certain exceptions, all course withdrawals automatically count towards this limit. Details regarding this policy can be found in the ACC college catalog.
Reinstatement Policy: Students who withdrew or were withdrawn will not be reinstated unless they have completed all coursework, projects, and exams necessary to place them at the same level of course completion as the rest of the class. Reinstatement is up to the instructor’s approval.
Incomplete Grade Policy: Incomplete grades (I) will be given only in very rare circumstances. Generally, to receive a grade of "I", a student must be up to date on coursework and have a passing grade, and after the last date to withdraw, have a legitimate reason that prevents course completion. An incomplete grade cannot be carried beyond the established date in the following semester. The completion date is determined by the instructor but may not be later than the final deadline for withdrawal in the subsequent semester.
Communication with Your Instructor: All e-mail communication to students will be sent solely to the student’s ACCmail account or math software if applicable, with the expectation that such communications will be read in a timely fashion. Likewise, students should use their ACCmail account or math software when communicating with instructors. Instructors will respond to student emails within 3 business days, if no response has been received by the student at the end of that time, then the student should send a reminder to the instructor.
Name Change Information: If you want to change how your name appears online at ACC, go to https://www.austincc.edu/admissions/update-student-information/chosen-name.
General College Policies: Policies that apply to all courses at ACC can be found here: https://www.austincc.edu/offices/academic-outcomes-assessment/master-syllabi/college-policies.

Welcome to MATH 1342 – Elementary Statistics
Spring 2026 Syllabus
THE BASICS
About Your Instructor
Name: Paul “Muse” Ritter, PhD
The best way to reach me is: Email
Email: paul.ritter@austincc.edu
Office location: RVS RVSG 9139
Office hours: M: 3:00 PM – 4:00 PM, W: 12:15 PM – 1:15 PM
To schedule a conference outside of office hours: Email me
About Your Course
Instructional Methodology:
Classroom Section: This course is taught in the classroom primarily as a lecture/discussion course.
Synonym: 34127Section: 020
Meeting location: RVS RVSG 9142Meeting times: MW: 1:30 PM – 2:50 PM
Prerequisites: NCBM 0142, MATD 0342 or MATD 0485; with a grade of C or higher. Or a satisfactory score on the TSI Mathematics Assessment or completion of TSI requirements in mathematics.
Required Materials
This is a First Day™ class. The cost of required course materials, including an online version of the textbook and software access, has been added to your tuition and fees bill.
1
Textbook: Statistics: Unlocking the Power of Data, 3rd Edition by Lock, Lock, Lock Morgan, Lock, Lock. Wiley (WileyPlus software) ISBN: 9781119682288
2
Access to videos: of examples and explanations
3
Access to Statistical Applets: for students to explore the concepts
4
Required Technology:
●
Scientific calculator
●
Internet access to use the statistical software StatKey, the Visualize applets, and the material in WileyPlus.
COURSE CALENDAR
Note: Schedule changes may occur during the semester. Any changes will be announced in class and posted as a Blackboard Announcement.
Week
Sections
Material
1
1.1, 1.2
The Structure of Data, Sampling from a Population
2
1.3, 2.1, 2.2
Experiments and Observational Studies, Categorical Variables, One Quantitative Variable: Shape and Center
3
2.3, 2.4
One Quantitative Variable: Measures of Spread, Boxplots and Quantitative/Categorical Relationships
4
Test 1, 2.5
Two Quantitative Variables: Scatterplots and Correlation
5
2.6, Unit A
Two Quantitative Variables: Linear Regression, Essential Synthesis
6
P.1, 3.1
Probability Rules, Sampling Distributions
7
3.2 – 3.4
Understanding and Interpreting Confidence Intervals, Constructing Bootstrap Confidence Intervals Using Standard Error and Percentiles
8
Test 2, 4.1
Introducing Hypothesis Tests
9
4.2, 4.3, 4.4(a)
Measuring Evidence with P-values, Determining Statistical Signficance, A Closer Look at Testing
10
4.5, Unit B, 5.1
Making Connections, Hypothesis Tests Using Normal Distributions
11
6.1, 6.3
Inference for a Proportion and for a Difference in Proportions (Distribution, Confidence Intervals, Hypothesis Tests)
12
Test 3, 6.2
Inference for a Mean (Distribution, Confidence Intervals, Hypothesis Tests)
13
6.4, 6.5, Unit C
Inference for a Difference of Means or a Paired Difference in Means (Distribution, Confidence Intervals, Hypothesis Tests)
14
7.2, 8.1
Testing for an Association between Two Categorical Variables, Analysis of Variance (ANOVA)
15
9.3, 10.1
Inference for Regression: Confidence and Prediction Intervals, Multiple Predictors
16
Test 4
Important Dates
Last day to withdraw: Monday, April 27
Holidays: MLK Jr Day: Monday, January 19; Spring Break: Monday, March 16 thru Friday, March 20
(Please note these are the ONLY holidays this semester.)
Making Time to Learn
We learn math by thinking about and working on mathematical problems, which takes time. Practice is crucial in a math course. To ensure that you have adequate time, set aside 8-12 hours per week outside of class time to practice and study for this course. Ask for help immediately when something isn’t clear.
GETTING HELP
ACC provides several free resources for students who need help; descriptions and links are below:
Office hours: Another name for office hours is “student hours.” This is the time your instructor has set aside to answer student questions, so feel free to drop by if you have questions. Office hours may be virtual or on campus; see information above.
Instructional Associates: Instructional Associates specific to the course you are taking are available for tutoring. To make an appointment, go to https://sites.google.com/a/austincc.edu/math-students/meet/list and then click on your course.
Learning Labs: The ACC Learning Labs provide tutoring in math and other subjects. To schedule an appointment, go to https://www.austincc.edu/students/learning-lab. This site includes information about in person and virtual tutoring options.
Academic Coaching: Academic coaches offer extra support to students with study strategies; they want to help you learn to be an active participant in your own learning process. For more information or to make an appointment with an academic coach, go to https://www.austincc.edu/students/academic-coaching.
ACC Student Services: Services are offered in many areas, including Academic, Financial, Personal, and Technology Support. For more information, go to https://www.austincc.edu/student-support.
GRADES
Grade Components
Tests: 80%
Written Homework: 10%
Wiley Plus Homework: 10%
Grading Scale
A: 90 - 100
B: 80 – 89
C: 70 – 79
D: 60 – 69
F: < 60
Where can I find my grades?
Grades will be posted in Blackboard under course grade.
What will we do in this class?
Tests:
•
Exam 1 covering sections 1.1 – 1.3, 2.1 – 2.4 in class on Monday, February 9
•
Exam 2 covering sections 2.5, 2.6, P*, 3.1 – 3.4 in class on Monday, March 9
•
Exam 3 covering sections 4.1 – 4.3, 4.4(a), 4.5, 5.1, 6.1, 6.3 in class on Monday, April 13
•
Exam 4 covering sections 6.2, 6.4, 6.5, 7.2, 8.1, 9.3, 10.1 in class on Wednesday, May 13
All exams will take place in class. Contact me immediately if you think you may have a conflict with a test
date. I must be notified no later that the date and time of the missed exam. A make-up exam will be
arranged only for illness or an emergency, with appropriate documentation. If you miss an exam and did
not contact me by the test date and couldn’t provide documentation a grade of 0 will be entered.
However, up to one missed exam or your lowest exam score may be replaced by the exam 4 grade. Exam 4
counts toward your grade even if it is not being used to replace a previous exam grade. In the event that
exam 4 is used to replace a test score, it counts as two tests in your final grade calculation. If on any exam
you use methods more advanced or different from what was shown in class, you may receive a 0 on that
problem until you come to office hours and explain your rationale and work.
Written Homework:
•
HW 1A covering sections 1.1 – 1.3 due on Monday, February 2
•
HW 1B covering sections 2.1 – 2.4 due on Monday, February 9
•
HW 2A covering sections 2.5, 2.6, P* due on Monday, February 23
•
HW 2B covering sections 3.1 – 3.2 due on Monday, March 2
•
HW 2C covering sections 3.3 – 3.4 due on Monday, March 9
•
HW 3A covering sections 4.1 – 4.3 due on Wednesday, March 25
•
HW 3B covering sections 4.4(a), 4.5, 5.1 due on Wednesday, April 1
•
HW 3C covering sections 6.1 and 6.3 due on Wednesday, April 8
•
HW 4A covering sections 6.2, 6.4, 6.5 due on Monday, April 27
•
HW 4B covering sections 7.2 and 8.1 due on Monday, May 4
•
HW 4C covering sections 9.3 and 10.1 due on Monday, May 11
Wiley Plus Assignments:
•
1.1 – 1.3, 2.1 – 2.4, due on Monday, February 9
•
2.5, 2.6, P*, 3.1 – 3.4, due on Monday, March 9
•
4.1 – 4.4(a), 4.5, 5.1, 6.1, 6.3, due on Monday, April 13
•
6.2, 6.4, 6.5, 7.2, 8.1, 9.3, 10. 1, due on Wednesday, May 13
What happens if I miss something?
Late Policy for WileyPLUS Homework: A 10% penalty will be applied to WileyPlus assignments submitted after the due date. An additional 20% penalty will applied for 7 or more days after the due date.
Late Policy for Written Homework: Late Written Homework will only be accepted if there was an illness or extenuating circumstance, and documentation must be provided.
Missed Exam Policy: Makeup exams will be given if there is a legitimate reason such as an illness. Documentation for the illness or the extenuating circumstance must be provided. If you cannot take the exam due to an illness or extenuating circumstance, you must notify me no later than the date and time of the missed exam. If you miss an exam and fail notify by this time and/or cannot provide documentation of an illness or extenuating circumstance a grade of 0 will be entered. No tests may be retaken under any circumstance.
Attendance/Class Participation Policy: Regular and punctual class and laboratory attendance is expected of all students. If attendance or compliance with other course policies is unsatisfactory, the instructor may withdraw students from the class.
What AI Resources are allowed?
Generative Artificial Intelligence (GAI) Policy: Generative AI (GAI) is a useful tool for exploration and learning. Use of GAI on unproctored work such as homework and independent learning is permitted, but caution is advised as not to become dependent on it. The purpose of assessments is to demonstrate what students are able to do independently. In this course, GAI includes Computer Algebra Systems (CAS) and any electronic tools that solve problems for students. Violations to GAI use policies are considered scholastic dishonesty and will be handled according to established departmental and college procedures. GAI may not be used on major assessments other than in cases where permissions are explicitly stated.
COURSE CONTENT
Course Description
Credit Hours: 3, Contact Hours: 3
MATH 1342 – Elementary Statistics (3-3-0). A first course in statistics for students in business; nursing; allied health; or the social, physical, or behavioral sciences; or for any student requiring knowledge of the fundamental procedures for data organization and analysis. Topics include frequency distributions, graphing, measures of location and variation, the binomial and normal distributions, z-scores, t-test, chi-square test, F-test, hypothesis testing, analysis of variance, regression, and correlation.
Course Rationale
Students will learn to
1
Determine the aspects of a question, if any, for which statistics can provide relevant information.
2
Analyze statistical studies, particularly regarding appropriate sampling and experimental design.
3
Select and use appropriate statistical analyses to get useful information from data.
4
Communicate knowledge using standard statistical language and also interpret it in non-technical language.
This course meets the Core Curriculum requirement in mathematics. It meets the requirement for an introductory statistics course for students in many majors such as business, health sciences, and social sciences.
Common Course Objectives
1
Interpret ideas of population versus sample, random variables, and techniques of descriptive statistics including frequency distributions, histograms, boxplots, and scatterplots.
2
Calculate and interpret measures of central tendency and dispersion, including mean, median, standard deviation, and quartiles.
3
Find and use empirical probabilities in bootstrap distributions to find confidence intervals and in randomization distributions to test hypotheses.
4
Find and use theoretical probabilities from normal, t, chi-squared and F distributions to form confidence intervals and test hypotheses. Apply the 95% rule to normal and to approximately normal distributions.
5
Analyze relationships between two quantitative variables using correlation and linear regression.
6
Analyze data presented in two-way tables to provide information about relationships between categorical variables.
7
Apply ideas of appropriate sampling techniques and experimental design to data production.
8
Use the sampling distributions of sample proportions and sample means to answer appropriate questions.
9
Estimate single means, difference of two means, single proportions and difference of two proportions using confidence intervals. Interpret the results.
10
Demonstrate skills in hypothesis testing for means and proportions, for single populations and comparison of two populations.
11
Demonstrate skills in hypothesis testing using chi-squared tests.
12
Demonstrate skills in inference for regression and ANOVA techniques.
Throughout the course, students will use statistical applets to do computations and produce graphical displays needed to analyze data. Students will do some statistical calculations by hand with a scientific calculator.
Student Learning Outcomes
Upon successful completion of the course, a student should be able to:
1
Explain the use of data collection and statistics as tools to reach reasonable conclusions.
2
Recognize, examine, and interpret the basic principles of describing and presenting data.
3
Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
4
Explain the role of probability in statistics.
5
Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
6
Describe and compute confidence intervals.
7
Solve linear regression and correlation problems.
8
Perform hypothesis testing using statistical methods.
Mathematics Program Student Learning Outcomes
1
Multiple Representations Students will demonstrate proficiency with multiple representations of functions and relations (verbal, numerical, graphical, symbolic) at the Calculus level.
2
Applications Students will be able to apply Calculus techniques to real world problems.
3
Technology Students will be able to make appropriate use of technology, based on conceptual knowledge, to supplement symbolic processes.
General Education Competencies
1
Communication Skills: Develop, interpret, and express ideas and information through written, oral, and visual communication that is adapted to purpose, structure, audience, and medium.
2
Critical Thinking: Gather, analyze, synthesize, evaluate, and apply information for the purposes of innovation, inquiry, and creative thinking.
3
Empirical and Quantitative Skills: Apply mathematical, logical, and scientific principles and methods through the manipulation and analysis of numerical data or observable facts resulting in informed conclusions.
THE DETAILS
First Day Access: To enhance your learning experience and provide affordable access to the right course material, this course is part of an inclusive access model called First Day™. You can easily access the required materials for this course through Blackboard, at a discounted price, and benefit from single sign-on access. Austin Community College includes the discounted price as a course fee in your registration fees for this course.
It is NOT recommended that you Opt Out, as these materials are required to complete the course. You can choose to Opt Out on the first day of class, but you will be responsible for purchasing your course materials at the full retail price and access to your materials may be suspended. See your course in Blackboard for details.
Withdrawal Policy: It is the responsibility of each student to ensure that his or her name is removed from the roll should he or she decide to withdraw from the class. The instructor does, however, reserve the right to drop a student should he or she feel it is necessary. If a student decides to withdraw, he or she should also verify that the withdrawal is submitted before the Final Withdrawal Date. The student is also strongly encouraged to retain their copy of the withdrawal form for their records.
Students who enroll for the third or subsequent time in a course taken since Fall 2002 may be charged a higher tuition rate for that course. State law permits students to withdraw from no more than six courses during their entire undergraduate career at Texas public colleges or universities. With certain exceptions, all course withdrawals automatically count towards this limit. Details regarding this policy can be found in the ACC college catalog.
Reinstatement Policy: Students who withdrew or were withdrawn will not be reinstated unless they have completed all coursework, projects, and exams necessary to place them at the same level of course completion as the rest of the class. Reinstatement is up to the instructor’s approval.
Incomplete Grade Policy: Incomplete grades (I) will be given only in very rare circumstances. Generally, to receive a grade of "I", a student must be up to date on coursework and have a passing grade, and after the last date to withdraw, have a legitimate reason that prevents course completion. An incomplete grade cannot be carried beyond the established date in the following semester. The completion date is determined by the instructor but may not be later than the final deadline for withdrawal in the subsequent semester.
Communication with Your Instructor: All e-mail communication to students will be sent solely to the student’s ACCmail account or math software if applicable, with the expectation that such communications will be read in a timely fashion. Likewise, students should use their ACCmail account or math software when communicating with instructors. Instructors will respond to student emails within 3 business days, if no response has been received by the student at the end of that time, then the student should send a reminder to the instructor.
Name Change Information: If you want to change how your name appears online at ACC, go to https://www.austincc.edu/admissions/update-student-information/chosen-name.
General College Policies: Policies that apply to all courses at ACC can be found here: https://www.austincc.edu/offices/academic-outcomes-assessment/master-syllabi/college-policies.