Faculty Syllabus
MATH-1342 Elementary Statistics
Evan Ott
Credit Spring 2026
Section(s)
MATH-1342-028 (28860)
LEC MW 1:30pm - 2:50pm RRC RRC8 8210.00
MATH-1342-029 (28861)
LEC MW 9:00am - 10:20am RRC RRC8 8210.00
Course Requirements
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.
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.
- Textbook: Statistics: Unlocking the Power of Data, 3rd Edition by Lock, Lock, Lock Morgan, Lock, Lock. Wiley (WileyPlus software) ISBN: 9781119682288
- Access to videos: examples and explanations available through Blackboard
- Access to Statistical Applets: for students to explore the concepts, available through Blackboard
- Access to Gradescope: for detailed feedback on take-home problem sets, available through Blackboard
- Required Technology:
- Scientific calculator or graphing calculator
- Internet access to use the statistical software StatKey, the Visualize applets, and the material in WileyPLUS.
- Recommended, but not required: 1-2” 3-ring binder to organize handouts
Course Subjects
Common Course Objectives
- Interpret ideas of population versus sample, random variables, and techniques of descriptive statistics including frequency distributions, histograms, boxplots, and scatterplots.
- Calculate and interpret measures of central tendency and dispersion, including mean, median, standard deviation, and quartiles.
- Find and use empirical probabilities in bootstrap distributions to find confidence intervals and in randomization distributions to test hypotheses.
- 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.
- Analyze relationships between two quantitative variables using correlation and linear regression.
- Analyze data presented in two-way tables to provide information about relationships between categorical variables.
- Apply ideas of appropriate sampling techniques and experimental design to data production.
- Use the sampling distributions of sample proportions and sample means to answer appropriate questions.
- Estimate single means, difference of two means, single proportions and difference of two proportions using confidence intervals. Interpret the results.
- Demonstrate skills in hypothesis testing for means and proportions, for single populations and comparison of two populations.
- Demonstrate skills in hypothesis testing using chi-squared tests.
- Demonstrate skills in inference for regression and ANOVA techniques.
Student Learning Outcomes/Learning Objectives
Student Learning Outcomes
Upon successful completion of the course, a student should be able to:
- Explain the use of data collection and statistics as tools to reach reasonable conclusions.
- Recognize, examine, and interpret the basic principles of describing and presenting data.
- Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
- Explain the role of probability in statistics.
- Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
- Describe and compute confidence intervals.
- Solve linear regression and correlation problems.
- Perform hypothesis testing using statistical methods.
General Education Competencies
- Critical Thinking – gathering, analyzing, synthesizing, evaluating and applying information - is covered in every SLO.
- Quantitative and Empirical Reasoning – applying mathematical, logical, and scientific principles and methods - is covered in every SLO.
- Technology Skills- using appropriate technology to retrieve, manage, analyze, and present information - is covered in SLOs # 2, 3, 5, 6, 7 and 8.
- Written, Oral and Visual Communication – communicating effectively, adapting to purpose, structure, audience, and medium is covered in every SLO.
Office Hours
M 10:30 AM - 11:30 AM RRC 8323.09
NOTET Th 1:30 PM - 2:30 PM RVSG 9128
NOTEM 3:00 PM - 4:00 PM RRC 8323.09
NOTEPublished: 01/27/2026 16:16:28