Statistical Inference & Data Analysis I I

Catalog description

The course will cover basic concepts of data analysis and statistical inference, applied to 1-sample and 2- sample location problems: confidence intervals, hypothesis testing, and p-values. Probability models and statistical methods will be applied to practical situations and actual data sets from various disciplines. Elementary statistical theory, including the plug-in principle, maximum likelihood, and the method of least squares will also be covered. A statistical computing package will be used.