Contents
- Introduction and Overview
- Data and Variables
Primary and Secondary data
Variables
Types of variables
Qualitative
Quantitative
Nominal
Ordinal
Interval
Ratio
- Summarizing the data
Frequency Distribution
Measures of Central Tendency
Measures of Dispersion
- Hypothesis Testing
Hypothesis and its types
Errors in hypothesis testing
Confidence level
Power
Normal distribution
Methods to determine normality of data
- Tests of Significance: an introduction
One tailed and two tailed tests
Bivariate and Multivariate tests
- Bivariate analysis
Tests to compare proportions
One sample Chi square test
Chi Square test
Mc Nemar Test
Mc Nemar Bowker Test
Cochran’s Q Test
Marginal Homogeneity Test
Tests for comparing means
Parametric Tests
One sample t Test
Independent t Test
Paired t test
One way ANOVA Test
Repeated measures ANOVA test
         Non Parametric tests
One sample Wilcoxon Test
Mann Whitney Test
Wilcoxon Sign Rank Test
Kruskal Wallis Test
Repeated measures ANOVA
Friedman’s test
Tests for correlation
Pearson’s correlation test
Spearman’s correlation test
- Multivariate Analysis
         Factorial ANOVA
Two way ANOVA
Three way ANOVA
One way ANCOVA
Two way ANCOVA
One way MANOVA
Two way MANOVA
One way MANCOVA
Two way MANCOVA
Two way Repeated measures ANOVA
Three way Repeated measures ANOVA
One way Repeated Measures ANCOVA
Two way Repeated Measures ANCOVA
One way Repeated measures MANOVA
Two way Repeated measured MANOVA
One way Repeated measures MANCOVA
Two way Repeated measures MANCOVA
Post Hoc tests
Linear Regression
Simple Linear Regression
Multiple Linear Regression
Logistic Regression
Binomial Logistic Regression
Multinomial Logistic Regression
- Assumptions of different tests of significance
9. Presentation of results in the form of tables for different statistical tests
