STAT 451 - Applications of Data Analytics and Development
Credit Hours: 3
Prerequisites:STAT 261 or STAT 366 or BANA 201 An introduction of using statistical packages such as R to analyze data from real world examples. Topics include exploratory analysis of data, the analysis of variance, linear regression models, multiple comparisons and resampling techniques such as bootstrap method.