Statistics for Business and Management Science I

3.00 credit hours

Organizing and summarizing data. Mean, variance, moments. Elementary probability, conditional probability. Commonly encountered distributions including binomial. Poisson, uniform, exponential, normal distributions. Central limit theorem. Sample quantities, empirical distributions. Reference distributions (chi-square, z-, t-, F-distributions). Point and interval estimation: hypothesis tests.

Sample Syllabus (login required)

Stephen Brady (Spring 2018)

NOTE: Instructors and offerings vary by semester. Visit the Schedule of Classes for the most up-to-date information.