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. 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.

Prerequisites

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 Spring 2021

With the following scheduling option(s)

2 Sections Offered

MTH-162, Section 002

CRN #32311
Online/Virtual Campus (asynchronous)

Instructor(s)

Laura Bond

Scheduled Meeting Times

TypeLocationDate(s)Day / Time
LectureOnline
Jan 25th, 2021 – May 15th, 2021N/A
Type Lecture
Location Online
Date(s) Jan 25th, 2021 – May 15th, 2021
Day / Time N/A

MTH-162, Section SL1

CRN #33261
Online/Virtual Campus (asynchronous)

Instructor(s)

Laura Bond

Scheduled Meeting Times

TypeLocationDate(s)Day / Time
LectureOnline
Jan 25th, 2021 – May 15th, 2021N/A
Type Lecture
Location Online
Date(s) Jan 25th, 2021 – May 15th, 2021
Day / Time N/A

***Instructor permission is required to register for SLN (online) sections as of one day before the official class start date. Please contact the instructor directly. No permission is necessary prior to that date.***