MATH 352 - Probability and Statistics

Description

Hours: Three hours lecture per week Prerequisites: MATH 151 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.

Meeting Information

Info current as 11/20/2024
Days Times Room Meeting Dates Instructor
TTH  10:30 AM  -  11:45 AM  Online 8/22/2020 - 12/18/2020 Jason Miller

Status: Open
Class Number: 1476
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/22/2020 - 12/18/2020
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 23
Available Seats: 1
Wait List Capacity: 10
Wait List Total: 0

Textbook / Other Materials

Status: Recommended
ISBN: 9780073401331
Title: Statistics for Engineers & Scientists
Publisher: McGraw-Hill
Author: Navidi

More textbook information including prices

Enrollment Information

  • Upper Division