• Measures of Central Tendency – Mean, Median, Mode
• Descriptive statistics
• Measures of Central Tendency
• Mean
• Median
• Mode

• Descriptive Statistics– Measures of Dispersion
• Measures of Dispersion
• Range
• Quartile Deviation
• Mean Deviation
• Standard deviation
• Variance

• Skewness & Kurtosis
• Descriptive statistics
• Skewness & Kurtosis

• Concepts of Population, Sampling Etc.
• Survey and sampling
• Population and universe
• Sampling
• Sample
• Types of Sampling
• Steps in sampling

• Test of Significance
• Introduction –Hypothesis testing
• Assumptions about parametric and non-parametric tests
• Hypothesis –Null and Alternate Hypothesis
• Hypothesis testing process
• Type 1 and Type 2 Errors
• Level of significance and rejection region

• Test of Significance
• Introduction –Hypothesis testing
• Assumptions about parametric and non-parametric tests
• Hypothesis –Null and Alternate Hypothesis
• Hypothesis testing process
• Type 1 and Type 2 Errors
• Level of significance and rejection region

• Non Parametric Tests
• Mann-Whitney U test
• Kolmogorov-Smirnov Z test
• Chi square test

• Theory of Correlation: Meaning of Correlation, Simple Correlation, Co-efficient, Rank Correlation.
• Correlation
• Introduction
• Types
• Coefficient of correlation
• Measurement of correlation
• Scatter Diagram
• Karl Pearson’s coefficient of correlation
• Rank correlation
• Coefficient  of Variation
• Properties of correlation coefficient

• Regression Analysis
• Regression –Introduction and definition
• Types of regression
• Line of best fit
• Regression equations
• Properties of regression lines and regression coefficients
• Standard error of estimate
• Simple linear regression
• Problems based on linear regression