| |
Nov 27, 2024
|
|
|
|
|
MATH 3250 - Introduction to Statistics and Data Analysis
This course interweaves traditional topics in statistics with elements of data analysis using popular statistical software packages. Topics include descriptive statistics, probability distributions, sampling distributions, statistical inference for means and proportions, categorical analysis, and simple regression, including multiple and non-linear regression. Elementary programming in a statistics environment (generally R or SAS) will be used to perform statistical analyses, make graphics, and perform simulations.
Credit Hours: 3
Lecture Hours: 3
Grade Mode: Normal, Audit
Prerequisites: MATH2011 >= D
Repeat Status: No
Degree Restrictions: Bachelor of Science
Schedule Type: Lecture
Click here for the Schedule of Classes.
Add to Catalog Bookmarks (opens a new window)
|
|
