Class Number: 1042
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.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| MW | 12:00 PM - 01:15 PM | 01/21/2023 - 05/19/2023 | Bell Tower 1642 | Isaac Quintanilla-Salinas |
Status: Open
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Start Date: 01/21/2023
End Date: 05/19/2023
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 23
Available Seats: 2
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Upper Division
- In-Person