Skip to main content

Course Descriptions

MTH 161 - Statistics II

3 Credits

Statistical inference with an introduction to experimental design. Topics include hypothesis testing and estimation for means, proportions and variances; sample size determination; uses of Chi-square distribution; analysis of variance; linear correlation and regression, non-parametric statistics and statistical research. Students critically analyze data, acknowledge limitations such as perspective and bias, and develop well-reasoned arguments to form conclusions. Statistical software is used.

Prerequisite: MTH 160 with a grade of C or better.

New SUNY General Education: SUNY - Critical Thinking and Reasoning Competency, SUNY - Mathematics (and Quantitative Reasoning)

Retiring SUNY General Education: SUNY-M - Mathematics (SMAT)

MCC General Education: MCC-CT - Critical Thinking (MCT), MCC-QL - Quantitative Literacy (MQL), MCC-TL - Technological Literacy (MTL)

Course Learning Outcomes
1. Estimate statistical parameters in one variable.
2. Estimate statistical parameters in two variables.
3. Perform hypothesis tests of statistical parameters in one variable.
4. Perform hypothesis tests of statistical parameters in two variables.
5. Calculate Type II errors for specified inference problems.
6. Assess Type II errors for specified inference problems.
7. Calculate sample size for specified inference problems.
8. Perform chi-square tests for various applications.
9. Apply Analysis of Variance techniques for one factor applications.
10. Apply Analysis of Variance techniques for two factor applications.
11. Estimate statistical parameters involving linear correlation and linear regression analysis.
12. Perform hypothesis tests of statistical parameters involving linear correlation and linear regression analysis.
13. Differentiate between parametric and nonparametric methods.
14. Choose the appropriate statistical analysis for a given situation.
15. Perform nonparametric tests for various applications.
16. Conduct a statistical study.
17. Assess the validity of a statistical study.
18. Use software to perform various statistical procedures.

Course Offered Fall, Spring

Use links below to see if this course is offered:
Fall Semester 2024
Intersession 2025
Spring Semester 2025