Introduction to statistical methods
The role of statistics
Type of statistics (Descriptive and inferential)
Statistical methods in research process (Definition and function) Research process
Levels of measurement

Sampling Distributions
Population and sample
Parameter and Statistic
Sampling distribution for mean and the difference between two means The Central Limit Theorem
Sampling distribution for proportion and difference between two proportions Introduction to chi-square, t and F distribution

Estimation Methods
Point Estimation and Interval Estimation
Definition and properties
Confidence interval for a single mean and proportion
Confidence interval for the difference between two means
Confidence interval for variance and ratio of two variances
Determination of sample size

Hypothesis testing (Parametric Method)
Definitions of basic terms
Hypothesis testing procedure
Type I error and Type II error
Testing for a single mean, proportion and variance
Testing for the difference between mean and proportions
Testing for the ratio between two variances
Classical versus p-value approach
Using one-way ANOVA to compare more than two means

Hypothesis testing (Non-Parametric Method)
Sign Test
Wilcoxon Signed-Rank Test
Wilcoxon Rank Sum Test/Mann Whitney
Chi-square test of independence

Q1 : What is basic requirement for this course?
A1 : Knowledge of the concept of probability and statistics will help you to understand the course better