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.    

  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: examples and explanations available through Blackboard
  3. Access to Statistical Applets: for students to explore the concepts, available through Blackboard
  4. Access to Gradescope: for detailed feedback on take-home problem sets, available through Blackboard
  5. Required Technology: 
    • Scientific calculator or graphing calculator
    • Internet access to use the statistical software StatKey, the Visualize applets, and the material in WileyPLUS. 
  6. Recommended, but not required: 1-2” 3-ring binder to organize handouts

Readings

Statistics: Unlocking the Power of Data, 3rd Edition by Lock, Lock, Lock Morgan, Lock, Lock. Wiley (WileyPlus software) ISBN: 9781119682288


Course Subjects

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.

Student Learning Outcomes/Learning Objectives

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 10:30 AM - 11:30 AM RRC 8323.09

NOTE

T Th 1:30 PM - 2:30 PM RVSG 9128

NOTE

M 3:00 PM - 4:00 PM RRC 8323.09

NOTE

Published: 01/27/2026 16:16:28