Advanced Statistics
An introduction to applied statistical analysis of data. Topics include, but are not limited to: graphical and numerical summaries of data, sampling, experimental design, simulations, probability distributions, statistical inference through estimation, confidence intervals, and hypothesis testing, linear and multiple regression, analysis of variance, other statistical models, and software for performing statistical analyses.
Credit hours: 3.0
Prerequisites:
- MA105 - Elementary Statistics
- MA504 - Writing Mathematical Documents Including LaTex
- MA509 - Proof In Mathematics
Additional Prerequisites / Conditions:
Last updated:
07/06/2021