Theory of hypothesis testing-likelihood ratio tests; power functions, etc; tests concerning means; differences between means; variances; proportions.  Test for associations (contingency tables) and goodness of fit tests.  Standard assumptions and their plausibility in hypothesis testing.  Linear regression analysis ― the method of least squares (derivation of normal equations); prediction and confidence intervals; regression diagnostics.  One-and two way analysis of variance.

Course Code: 
STA 303
No. of Credits: 
3
Level: 
Level 300
Course Semester: 
First Semester
Pre-requisite: 
STA 201, STA 202 or HND Statistics
Select Programme(s): 
Statistics