APPLIED STATISTICS

Catalog description

This course covers the basics of descriptive and inferential statistics, as well as data production, analysis, and acquisitio n. The course requires active use of a statistical package and extended and rigorous application of statistics to the analysis o f a real-world problem with actual data. Descriptive statistics topics include data types, basic univariate graphs, histograms, outliers; measures of center and spread, density curves and the Normal distribution; scatterplots, correlation, and simple regression. Inferential topics include the basics of probability, sampling distributions and the central limit theorem; confidence intervals, one -sample and two -sample tests of significance and the P -value; inference in simple and multiple linear regression; heteroskedasticity, multicollinearity, non-linearity and data transformations. Optional topics may include analysis of two-way tables and analysis of variance. Prerequisite: Minimum grade of C - in MATH 110.