MTH 161 - Statistics II
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)
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
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Fall Semester 2023
Summer Session 2023