Statistics for the Social Sciences

An introduction to descriptive and inferential statistics intended to give an understanding of statistical techniques and applications used in the social sciences. Topics include: measures of central tendency, dispersion and position; correlation and regression; probability and probability distributions, including binomial and normal; parameter estimation and hypothesis testing; two-sample analysis; chi-square test of independence; one-way analysis of variance. Statistical software will be used. This course is intended for, but not limited to Social Science majors. Students who have completed MTH 160 or MTH 161 may not receive additional credit for this course. Four class hours.


MTH 096 with a grade of B- or better; or any of the following with a grade of C or better: MTH 104, MTH 140, MTH 141, MTH 165 (or higher); or MCC Level 7 mathematics placement.

MTH-162 Sections for Summer 2019

1 Section Offered

MTH-162, Section SL1 — CRN #62620
0 Credit Hours — SUNY Learning Network (Online)

Laura Bond

Scheduled Meeting Times
TypeLocationDate(s)Day / Time
May 28th, 2019 – Jul 6th, 2019N/A
Type Lecture
Location Online
Date(s) May 28th, 2019 – Jul 6th, 2019
Day / Time N/A
***Instructor permission is required to register for SLN sections as of the day before the official class start date. No permission is necessary prior to that date.***