Applied Statistics

Catalog description

A first course in applied statistics including an introduction to probability, the development of estimation and hypothesis testing, and a focus on statistical methods and applications. Includes introduction to probability of events, random variable, binomial and normal distributions, mathematical expectation, sampling distributions, estimation, and hypothesis testing. Statistical methods include one and two sample procedures for means and proportions, chi-square tests, analysis of variance, and linear regression. Note: Credit for graduation will not be given for more than one of ISA 125 , STA 261 , or STA 301 . Prerequisite: MTH 141 or MTH 151 or MTH 249 or MTH 251 or MTH 252 .