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

• Skewness & Kurtosis
• Descriptive statistics
• Skewness & Kurtosis

• 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
• Correlation and regression
• 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

• Time Series Analysis
• Introduction and definitions
• Various components of time series
• Determination of trend by
• Graphical method
• Moving average method
• Least Square method
• Calculation of seasonal indices
• Simple average method
• Link relative method

• Probability: Random Experiment, Sample Space and Events, Addition and Multiplication theorems
• Probability
• Definitions –random experiment, sample space events etc.
• Statement of Addition theorem and multiplication theorems
• Problems based on the above theorems
• Conditional probability
• 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

• Bayes Theorems and its Applications
• Probability
• Inverse Probability
• Bayes theorem and its applications in business

• Random Variable and Probability Distribution: Binomial, Poisson, Normal
• Random Variable & Probability Distributions
• Discrete and continuous random variable
• Probability Distributions continuous and discrete
• Binomial distribution
• Poisson distribution
• Normal Distribution
• Uniform Distribution
• Problems based on the above

• 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