# Course Descriptions

## MTH 163 - Statistics I Extended Topics

1 Credit

A continuation of Statistics I, this course expands upon Statistics I topics to further students’ education surrounding statistical techniques and applications used in the social sciences. Topics include: significance tests for correlation; parameter estimation and hypothesis testing in two-sample analyses; chi-square test of independence; one-way analysis of variance. Students critically analyze data, acknowledge limitations such as perspective and bias, and develop well-reasoned arguments to form conclusions. Statistical software will be used. This course is intended for but not limited to Social Science majors who have already take MTH 160. Students who have completed MTH 161 or MTH 162 may not receive additional credit for this course.

Prerequisite(s): 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. Perform significance tests for linear correlation.
2. Perform a two-sample analysis using independent and dependent samples.
3. Interpret the results of two-sample analyses using independent and dependent samples.
4. Calculate effect size for different samples.
5. Interpret the results of effect size for different samples.
6. Complete chi-square tests of independence.
7. Interpret the results of a chi-square test for independence.
8. Execute a one-way analysis of variance.
9. Interpret the results of a one-way ANOVA as the effect of a factor on the response variable.
10. Use statistical software to create estimates of statistical measures.
11. Test hypotheses using statistical software to generate necessary values.

Course Offered Fall, Spring, Summer

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