Description
Many studies, both experimental and surveys, give rise to data classified by one or more factors. Such data can be analyzed using the techniques of analysis of variance or analysis of contingency tables depending on whether the underlying variable is continuous or discrete. The course introduces the students to both types of techniques. Knowledge of some of these techniques will be needed for later courses. Topics covered in this course include: 2×2 contingency tables: Relative risk, odds ratio, Chi-square test, Fisher’s exact test, r×c contingency tables: Tests of homogeneity and independence. Association in three way tables.One way analysis of variances: test of hypothesis, point and interval estimation of parameters, the problem of multiple comparisons. Two way analysis of variance:, F-tests. Estimation of parameters.