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. Statistical software will be used. 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 152, MTH 165 (or higher); or MCC Level 7 mathematics placement.

MTH-162 Sections for Fall 2022

With the following scheduling option(s)

3 sections available.

MTH-162, Section 002

CRN #22547
Hybrid

Instructor(s)

Laura Bond

Scheduled Meeting Times

TypeLocationDate(s)Day / Time
LectureBrighton Campus
Building 11, Room 300
Aug 29th, 2022 – Dec 16th, 2022Tuesday, Wednesday, Thursday
1:00 pm - 1:50 pm
Type Lecture
Location Brighton Campus
Building 11, Room 300
Date(s) Aug 29th, 2022 – Dec 16th, 2022
Day / Time Tuesday, Wednesday, Thursday
1:00 pm - 1:50 pm

MTH-162, Section SL1

CRN #23251
Online/Virtual Campus (asynchronous)

Instructor(s)

Laura Bond

Scheduled Meeting Times

TypeLocationDate(s)Day / Time
LectureOnline
Aug 29th, 2022 – Dec 16th, 2022N/A
Type Lecture
Location Online
Date(s) Aug 29th, 2022 – Dec 16th, 2022
Day / Time N/A

***Instructor permission is required to register for SLN (online) sections as of the first day of classes. No permission is necessary prior to that date. Please contact the instructor directly.***

MTH-162, Section SL2

CRN #24399
Online/Virtual Campus (asynchronous)

Instructor(s)

Claudio DiMarco

Scheduled Meeting Times

TypeLocationDate(s)Day / Time
LectureOnline
Aug 29th, 2022 – Dec 16th, 2022N/A
Type Lecture
Location Online
Date(s) Aug 29th, 2022 – Dec 16th, 2022
Day / Time N/A

***Instructor permission is required to register for SLN (online) sections as of the first day of classes. No permission is necessary prior to that date. Please contact the instructor directly.***