SOCI0385A-F19
Social Statistics
Social Statistics
In this course we will learn the practical tools social sociologists and other scientists use to analyze data quantitatively. Topics will emphasize applications with statistical software and data from the General Social Survey and other datasets. We will explore methods to describe statistics about samples, apply the principles of probability to make predictions about populations, and estimate the significance of those predictions through inference and hypothesis testing. We will conclude with an introduction to linear regression. (Open only to majors or by Instructor Approval) (formerly SOAN 0385) 3 hrs. lect./disc.
In this course we will learn the practical tools social sociologists and other scientists use to analyze data quantitatively. Topics will emphasize applications with statistical software and data from the General Social Survey and other datasets. We will explore methods to describe statistics about samples, apply the principles of probability to make predictions about populations, and estimate the significance of those predictions through inference and hypothesis testing. We will conclude with an introduction to linear regression. (Open only to majors or by Instructor Approval) (formerly SOAN 0385) 3 hrs. lect./disc.
- Term:
- Fall 2019
- Location:
- Sunderland Lanuage Ctr 202(SDL 202)
- Schedule:
- 2:50pm-4:05pm on Monday, Wednesday (Sep 9, 2019 to Dec 6, 2019)
- Type:
- Lecture
- Instructors:
- Matt Lawrence
- Subject:
- Sociology
- Department:
- Sociology
- Division:
- Social Sciences
- Requirements Fulfilled:
- DED SOC
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 92682
- Subject Code:
- SOCI
- Course Number:
- 0385
- Section Identifier:
- A