MATH 280F - Special Topic: Advanced Placement Statistics

This is a course in the elements of probability theory and statistical sampling and inference. Topics include methods of data collection, sampling, summarizing data and data distributions. Probability theory includes random variables and the binomial distribution. Statistical inference includes the study of the normal and t distributions and the construction of confidence interval estimates for the population mean, proportion, difference of means and difference of proportions. Tests of significance are studied for these parameters as well as Chi-square tests for goodness of fit and independence. Linear regression and correlation theory is introduced.  The course is designed for both the new student to statistics and the student who needs a refresher.

Prerequisite(s)/Course Notes:
Permission of department. No credit toward M.A. in Mathematics or M.S. in Applied Mathematics. As individual subjects are selected, each is assigned a letter (A-Z) and added to the course number. Any course may be taken a number of times so long as there is a different letter designation each time it is taken. (Formerly Workshop: Advanced Placement Statics.)

Summer 2010 Offering:
SSII
70729: MWR, 3:40-5:50 p.m.; High; 200 Adams

View Course Offering(s):

Summer Session I 2026

Summer Session II 2026

Summer Session III 2026

Fall 2026