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Jul 06, 2025
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MAT 161 - Elementary Statistics
Credits: 3
3 Lecture Hours
Prerequisites: MAT 108 or Equivalent
Description
In this course, students explore basic statistical concepts that can be applied in many different fields of study. Students learn to compute measures of central tendency and variability. In addition, students study hypothesis testing as well as how to perform and interpret correlation and regression analysis.
Learning Outcomes
Upon successful completion of the course, the student will:
- Analyze data by descriptive graphical and numerical methods.
- Test significance of the relationship between two variables using simple linear regression.
- Apply correlation analysis to assess the strength of the linear relationship between two variables.
- Perform tests of hypotheses involving populations means and proportions.
- Calculate confidence interval estimates of population means and proportions.
- Find probabilities of events using the basic properties of probability theory.
Listed Topics
- Collect data
- Organize data
- Descriptive statistics
- Normal distribution
- Confidence intervals
- Hypothesis testing
- Correlation and regression
- Chi-square goodness of fit
- Probability concepts
Reference Materials
Each student is required to have access to the textbook, ebook or online homework platform adopted by the Mathematics Department at the specific campus. Calculator use is at the discretion of the instructor.
Students who successfully complete this course acquire general knowledge, skills and abilities that align with CCAC’s definition of an educated person. Specifically, this course fulfills these General Education Goals: - Critical Thinking & Problem Solving
- Quantitative & Scientific Reasoning
Approved By: Dr. Quintin B. Bullock Date Approved: 03/18/2024
Last Reviewed: 03/18/2024
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