Methods of Quantitative Analysis

Course Description: Review of intervals and hypotheses testing. Simple linear regression. Multiple linear regressions. Matrix approach to multiple linear regressions. Single-factor analysis of variance, multi-factor analysis of variance. Design of experiments. Randomized block design. Non-parametric statistics. Engineering applications using the software package (Minitab)