Department of Sociology

Jacob Cheadle

Ph.D., Pennsylvania State University

Jacob Cheadle



SOC 317L • Intro To Social Statistics

44220 • Spring 2019
Meets TTH 12:30PM-2:00PM RLP 0.118


This course presents a general overview of the statistical methods used in the social sciences. While it’s important that you gain an understanding of the mathematical concepts behind the statistical analyses, it is of even greater importance that you leave this course with a conceptual and rational understanding of today’s most commonly used (and useful) statistical methods.

Truth claims made with statistics are abundant and often have the quality of facts in U.S. social and political life. Unfortunately, because many people do not understand the statistics undergirding these claims, they receive less scrutiny than they deserve. It is my primary goal to ensure that students learn the basic statistical literacy they need to be smart consumers of information. Our increasing reliance on statistics to understand the social world means that statistical and analytic skills are marketable skills. In fact statistics is one of very few classes that sociology majors take that provides them with concretely marketable skills. I believe that giving undergraduates a solid understanding of statistics is a way of democratizing knowledge and its production. In teaching statistics my goals are:

  •   To demystify statistics so that every student can be a smart consumer of quantitative information.

  •  To teach students to think sociologically with and about quantitative information.

  •  To provide students with a solid foundation of quantitative and computing skills that could serve

     as assets in subsequent employment and academic settings.

  • To demonstrate to students that learning statistics has practical applications outside of the classroom in everyday life.



Grading and Reqirement:

I will use a non-competitive grading scale. In other words, the grade you receive will not depend on how well others have performed in class. You can earn a maximum of 115 points in this class. Your grade will be based on your mastery of each of the required tasks in the class. The grading scale for the final course grade is as follows: 115-94=A; 90-93=A-; 87-89=B+; 83-86=B; 80-82-B-; 77-79=C+; 73-76=C; 70-72=C-; 67- 69=D+; 63-66=D; 60-62=D-; 59 & below=F.

I do not give incomplete and will not change the final grade for whatever reason. You have plenty of opportunities to do well in this class. Use them.

If you receive a final grade of A- or higher, I will write a personal recommendation for you in the future, stating that you have significant quantitative and computing skills.

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    The University of Texas at Austin
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