Data Analysis and Applied Stat ((5))

Catalog description

Classical and non-parametric confidence intervals and hypothesis tests for means, proportions, linear and multiple regression, and analysis of variance. Techniques include graphical displays, transformations, outlier identification, smoothing, regression and robustness; use of statistical package. Prerequisite: Post-baccalaureate Standing & Math 1209 Statistics in the Modern World or Math 2200 Introduction to Statistical Concepts and Methods (4 units lecture and 1 unit activity).