Introduction to Statistical Method
1.1 The role of statistics
1.2 Type of statistics (descriptive and inferential)
1.3 Level of measurement
1.4 Statistical method in research (definition and purpose)
1.5 Research process

Sampling Distribution
2.1 Population and sample
2.2 Sampling distribution (single mean and the difference between two means (Central Limit Theorem), single proportion and the difference between two proportion, single variance and ratio of two variances)

Estimation Methods
3.1 Point estimation (properties of good estimators)
3.2 Interval estimation (single mean and difference between two means, single proportion and the difference between two proportions, single variance and ratio of two variances)
3.3 Determination of sample size

Hypothesis Testing
4.1 Parametric and non-parametric approach (definition, scope and assumption)
4.2 Steps involved in the testing of hypothesis
4.3 One-tailed and two-tailed test
4.4 Type I error and type II error
4.5 Test concerning (single mean and the difference between two means, single proportion and the difference between two proportions, single variance and ratio of two variances)
4.6 Classical versus p-value approaches
4.7 Comparing more than two population means


Analysis of Categorical Data
5.1 Contingency tables
5.2 Chi-square test of independence

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