MTH-162: Statistics for the Social Sciences

Course Description

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. 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. Students who have completed MTH 160 or MTH 161 may not receive additional credit for this course.

Prerequisites

Any of the following with a grade of C or higher: MTH 096, MTH 104, MTH 152, MTH 165 (or higher); or MCC Level 7 mathematics placement.

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MTH-162 Sections for Summer 2026

With the following scheduling option(s)

2 Sections Offered

MTH-162, Section SL1

CRN #62620
Online/Virtual Campus (asynchronous)

Instructor(s)

To be announced

Seats Remaining

27

Already on Waitlist

0

Scheduled Meeting Times

TypeLocationDate(s)Day / Time
LectureOnline
Jun 1st, 2026 – Jul 2nd, 2026N/A
Type Lecture
Location Online
Date(s) Jun 1st, 2026 – Jul 2nd, 2026
Day / Time N/A

MTH-162, Section SL2

CRN #62907
Online/Virtual Campus (asynchronous)

Instructor(s)

To be announced

Seats Remaining

27

Already on Waitlist

0

Scheduled Meeting Times

TypeLocationDate(s)Day / Time
LectureOnline
Jul 6th, 2026 – Aug 7th, 2026N/A
Type Lecture
Location Online
Date(s) Jul 6th, 2026 – Aug 7th, 2026
Day / Time N/A