Description: Hours: Three hours lecture per week
Prerequisite: MATH 151 or DATA 261
Description: Topic include: data gathering, analysis and display. Validity of sampling methods and statistical conclusions. Probability, conditional probability, Bayes' Theorem, discrete and continuous random variables and their distribution (e.g., binomial, Poisson, hypergeometric, negative binomial, normal, exponential, gamma), moments, bivariate distributions, transformations of random variables, central and other limit theorems. Bayesian estimates, tests of hypotheses, nonparametric tests, decision theory. Modern computer software applications in statistics.
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|---|
| 1 | 01 | 1034 | LEC | MW | 12:00 PM - 01:15 PM | Online | Andrew Reynolds |
|
| 1 | 02 | 1035 | LEC | TTH | 12:00 PM - 01:15 PM | Bell Tower 1462 | Brian Sittinger |
|
| 1 | 03 | 1036 | LEC | TTH | 03:00 PM - 04:15 PM | Bell Tower 2414 | Brian Sittinger |
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