Title
Statistical Methods for Social Research 1
Course Materials
Statistical Methods for the Social Sciences, 5th Ed, Alan Agresti, 2018, Pearson (4th Ed. is fine)
Course Description
STA 6126 introduces statistical methods commonly used in the social sciences. There is no prerequisite. The first half of the course introduces descriptive statistics and inferential methods (confidence intervals and significance tests). The second half introduces bivariate methods (e.g., contingency table analysis, regression) and ends with an introduction to multiple regression. The follow-up course (STA 6127) presents more advanced regression methods (including multiple regression, analysis of variance, and logistic regression). Other courses in the Statistics Department that are appropriate for students who have taken STA 6126 include STA 5503 (Categorical Data Methods), STA 5507 (Applied Nonparametric Methods), and STA 5701 (Applied Multivariate Methods).
Grading Scale
This course will consist of a series of data analysis projects and 3 exams. The projects will count 25% of final grade, and each exam will count 25%.
- A 92+
- A- 91.99-87
- B+ 86.99-82
- B 81.99-70
- B- 69.99-60
- C+ 59.99-50
Attendance/Exam/Assignment Policies
While attendance is not taken, students are expected to attend lectures and participate in class. Make-up exams will only be considered with documented medical event or conference attendance (graduate students). Early exams will be given under no circumstances. Assignments are to be handed in during class on the date the assignment is due in paper format. Electronic submission of assignments will not be accepted. Turn off cell phones during classes.