Faculty Syllabus

MATH-1342 Elementary Statistics


Allison Sutton


Credit Spring 2026


Section(s)

MATH-1342-041 (17696)
LEC MW 10:00am - 11:20am RRC RRC1 1219.00

Course Requirements

What will we do in this class?

Unit Tests/Project: The four tests (Units 1, 2, 3, and 5) will be taken in class.  The Unit 4 Project will be done as a take-home assignment.  Unit Tests and the Project will all count equally in your test average.  If your average on the Project and Unit 5 Test is higher, it will be used as a replacement grade for your lowest test/project grade of the semester.

Homework: You will do online homework in WileyPlus for each section of the text that we cover.  To earn full credit, online homework must be complete and correct by the due date.  The due date will typically be a few days after we finish the relevant material in class.  It is recommended that you work the homework before the quizzes. (See below for Late Work Policy)

Quizzes: You will be expected to complete regular take-home quizzes for this course.  Quizzes cover 2-3 sections of the text, and are due by the end of class on the due date.  (See below for Late Work Policy)

Group work and participation: You are going to interact with each other quite a bit and talk to each other about math. There will be group activities every day in class.  You are expected to be an active participant and contribute to the discussion of the problems on the group activities.  Though you will be working with other students, everyone will record the work on their own paper.  These will be your notes you will use to complete homework assignments, so you need to ask questions and make sure you understand the ideas in the activity.  Your Unit Notebook will be collected and graded the day of each exam/project.  We will also include a participation grade for each Unit Notebook, based on your active participation during class.  The average of your Unit Notebook grades will be your Group Work/Participation grade for the course.

We know that some of you do not like to talk in class and others like to talk a lot, so we will follow a couple of easy rules. We give everyone a chance to talk. We respond to whatever anyone says with respect. We are concerned here about concepts that will help you succeed in your college-level math courses and ultimately achieve your academic goals. You are all in the same boat; I expect that students in this class will support each other and be respectful when working together.

 

What happens if I miss something?

Dropped Grade Policy: At the end of the semester, we will drop your lowest 5 online homework grades and your lowest two quiz grades.

Late Work Policy: Generally, late work is not accepted for any reason.  If you miss class you are responsible for the material covered that day, and we have resources in Blackboard that will cover what you missed.  See the specific late policies below.

Late quiz Policy: If you are absent on the day a quiz is due, you must email it to us by the end of class on that day. If you do not turn in a quiz by the end of class on the due date, you may email or ask us to see if it is possible to turn it in later that day.

Late Online Homework Policy: Late online homework can be attempted at any time, but will incur the following late penalties:

  • Online homework problems completed up to 3 days late will incur a 5% penalty,
  • Online homework problems completed more than 3 days late will incur a 20% penalty.
  • There are 5 attempts per problem.
  • After the third attempt, you may see the solution, but this will incur a 10% penalty on that problem.

Missed Exam Policy:  If you have an emergency and cannot show up to take an exam, you must email us before the next class period to see if a make-up is possible.  If you miss one of the first 3 exams entirely, your average on the Unit 4 Project and the Unit 5 Exam will replace the zero.  The Unit 4 Project and Exam 5 grades may not be replaced.

Attendance Policy: Attendance is required in this course.  Students are expected to attend class and actively participate for the entire class period each meeting.  Your active participation will tracked, and a lack of participation may be counted as an absence. Students who miss 4 or more classes without communicating with us may be withdrawn from both MATH 1342 and MATD 0342 without warning.  Obviously, we do not want you coming to class if you are sick, but it is also very important that you stay in constant communication with us in the event of an illness that prevents you from attending.  


Readings

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. 
  • Access to a webcam and microphone are required for this course.  Eligible students can check out required technology at https://www.austincc.edu/students/student-technology-services
  1. Recommended: 3-ring binder to organize daily handouts

If you decide that you would prefer to have a hard copy of the textbook, after the census date (about 2 weeks into the semester), students who do not opt out of First Day Access may purchase one through the ACC bookstore online: ACC Bookstore 


Course Subjects

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

Experiments and Observational Studies, Categorical Variables

3

2.2, 2.3, 2.4

One Quantitative Variable: Shape and Center, One Quantitative Variable: Measures of Spread, Boxplots and Quantitative/Categorical Relationships

4

Review, 

Unit 1 Test

 

5

2.5, 2.6, 3.1 

Two Quantitative Variables: Scatterplots and Correlation, Two Quantitative Variables: Linear Regression, Sampling Distributions, Essential Synthesis

6

3.2, 3.3, 3.4

Understanding and Interpreting Confidence Intervals, Constructing Bootstrap Confidence Intervals Using Standard Error and Percentiles

7

Review,

 Unit 2 Test

 

8

P.1, 4.1, 4.2

Probability Rules,  Measuring Evidence with P-values, Introducing Hypothesis Tests

9

4.3, 4.5

Determining Statistical Significance, Making Connections

10

Review, 

Unit 3 Test

 

11

5.1, 6.1 

Hypothesis Tests Using Normal Distributions, Inference for a Proportion (Distribution, Confidence Intervals, Hypothesis Tests)

12

6.3, 6.2 , 6.4

Inference for a Difference in Proportions, a Mean, and for a Difference in Means (Distribution, Confidence Intervals, Hypothesis Tests)

13

 6.5

Unit 4 Project

Inference for a Paired Difference in Means (Distribution, Confidence Intervals, Hypothesis Tests)

14

4.4, 7.2

A Closer Look at Testing , Testing for an Association between Two Categorical Variables

15

8.1, 9.3

Analysis of Variance (ANOVA), Confidence Intervals and Prediction Intervals

16

Review, 

Unit 5 Test

 


Student Learning Outcomes/Learning Objectives

MATH 1342 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.  

 MATH 1342 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.

General Education Competencies

  1. Critical Thinking – gathering, analyzing, synthesizing, evaluating and applying information - is covered in every SLO. 
  2. Quantitative and Empirical Reasoning – applying mathematical, logical, and scientific principles and methods - is covered in every SLO.
  3. Technology Skills- using appropriate technology to retrieve, manage, analyze, and present information - is covered in SLOs # 2, 3, 5, 6, 7 and 8.
  4. Written, Oral and Visual Communication – communicating effectively, adapting to purpose, structure, audience, and medium is covered in every SLO.

Office Hours

M W 11:20 AM - 11:50 AM RRC 1205

NOTE

M W 1:30 PM - 2:30 PM RRC 2308.04

NOTE

T 7:00 PM - 9:00 PM Online - See Bb for link

NOTE Feel free to email me for an appointment if my hours don't suit your schedule. Include a few days/times that would work for you.

Published: 01/23/2026 11:37:07