Random variables; common discrete, continuous expectations and their applications;Sampling of the mean, hypothesis testing of the mean and variance, confidenceintervals and Chi-Square procedures; Simple linear regression and correlation;precision and straight line fits; Matrix approach; multiple; Linear regression;polynomial and extra sum of squares in linear regression analysis; Transformation,weighted dummy variables and special topics in multiple regression analysis; Selectingthe best regression model; Design of experiments; Single-factor and Multi-factoranalysis of variance. Application of Statistical software packages such as: MINITAB,SPSS, etc.…
