Applied Statistical Methods

Credits: 4

Program: Basic concepts of descriptive statistics and experimentation; experimental designs; multiple comparison tests of means; factorial experiments; general linear regression model; inference in the linear regression model; confidence interval for predicted values; analysis of the residue in the regression model; transformation in variables; selection of regressor variables; introduction to non-linear regression models; introduction to Generalized Linear Models; data analysis using statistical software; Principal Component analysis.