MTH-162: Statistics for the Social Sciences
- 4 Credit Hours
- Mathematics Department
- Fall 2022
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
3 sections available.
MTH-162, Section 002
Scheduled Meeting Times
Type | Location | Date(s) | Day / Time |
---|---|---|---|
Lecture | Brighton Campus Building 11, Room 300 | Aug 29th, 2022 – Dec 16th, 2022 | Tuesday, 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
Scheduled Meeting Times
Type | Location | Date(s) | Day / Time |
---|---|---|---|
Lecture | Online | Aug 29th, 2022 – Dec 16th, 2022 | N/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
Scheduled Meeting Times
Type | Location | Date(s) | Day / Time |
---|---|---|---|
Lecture | Online | Aug 29th, 2022 – Dec 16th, 2022 | N/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.***