Sampling probability distributions ( t-student, Chi-squared and F-Fisher distribution). Point estimation. Maximum Likelihood estimation. Estimation by confidence intervals. Hypothesis testing. ANOVA one- and two-way. Simple linear regression models; multiple regression analysis including variable selection techniques; regression diagnostics. Non-linear regression. Goodness of fit test. A statistics computer package will be used in this course.
Weekly Contact: Lab:1 hr. Lecture:3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1