Engineering Statistics (3 Cr. Hr.) (Prerequisite: MATH 102) Review of 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 software packages (SAS, SPSS, Minitab, etc. ...)