Common Course Outline
Catalog Description
| Credits | 4 |
|---|---|
| Hours/Week | 4 |
| Prerequisites (Course discipline/number) | MATH 0990 |
| Other requirements | None |
| MnTC Goals (if any) | Goal 4/Mathematics/Logical Reasoning |
Course Description
This course is the second course of a two-semester series of courses for students. Concepts and methods of statistics with an emphasis on data analysis will be presented. Concepts that serve as a foundation for statistical analysis are integrated into the course. The topics included in the two-semester series are: methods for collecting data, graphical and numerical descriptive statistics, correlation, liner regression, basic concepts of probability, confidence intervals and hypothesis tests for means and proportions, and chi-square tests. These courses are expected to be completed in consecutive semesters.
Date Last Revised (Month, year)
February, 2026
Outline of Major Content Areas
- Sampling Distributions
- Confidence Intervals
- Hypothesis Testing
- Chi-square Tests for One-way and Two-way Tables
- One-way ANOVA
- Correlation
Learning Outcomes (General)
The student will be able to:
- Use simulations to explain the properties of a sampling distribution for a proportion and mean and use sampling distributions to construct and interpret confidence intervals for a population proportion and mean.
- Construct a hypothesis test for the value of a population proportion and mean.
- Interpret the use of evidence in drawing a conclusion, including interpreting meanings and consequences of Type I and Type II errors.
- Calculate and interpret the chi-square value for both one-way tables (goodness of fit) and two-way tables (independence and homogeneity).
- Apply one-way ANOVA methods to test for possible differences between several population means.
- Choose the appropriate linear, proportional, power, or exponential model to best summarize bi-variate data.
- Interpret confidence intervals and hypothesis tests for linear regression parameters of slope, intercept, and correlation coefficient.
Learning Outcomes (MnTC)
- Goal 4/Mathematics/Logical Reasoning
-
The student will be able to:
- Illustrate historical and contemporary applications of mathematics/logical systems.
- Clearly express mathematical/logical ideas in writing.
- Explain what constitutes a valid mathematical/logical argument (proof).
- Apply higher-order problem solving and/or modeling strategies.
Methods for Evaluation of Student Learning
Methods may include but are not limited to:
- Homework
- Quizzes
- Examinations
- Computer laboratory Assignments
- Group or Individual Projects
RCTC Core Outcome(s)
This course contributes to meeting the following RCTC Core Outcome(s):
- Critical Thinking
- Students will think systematically and explore information thoroughly before accepting or formulating a position or conclusion.
Special Information (if any)
Students must have, either personal or RCTC facility, access to a computer for laboratory assignments.