MTH-162

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. 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 better: 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 2024

With the following scheduling option(s)

2 Sections Offered

MTH-162, Section SL1

CRN #62620
Online/Virtual Campus (asynchronous)

Instructor(s)

Laura Bond

Seats Remaining

5

Already on Waitlist

0

Scheduled Meeting Times

TypeLocationDate(s)Day / Time
LectureOnline
Jun 3rd, 2024 – Jul 3rd, 2024N/A
Type Lecture
Location Online
Date(s) Jun 3rd, 2024 – Jul 3rd, 2024
Day / Time N/A

MTH-162, Section SL2

CRN #62907
Online/Virtual Campus (asynchronous)

Instructor(s)

Laura Bond

Seats Remaining

14

Already on Waitlist

0

Scheduled Meeting Times

TypeLocationDate(s)Day / Time
LectureOnline
Jul 8th, 2024 – Aug 9th, 2024N/A
Type Lecture
Location Online
Date(s) Jul 8th, 2024 – Aug 9th, 2024
Day / Time N/A