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