• 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

 

• 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

 

• 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

   

• 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
• Link relative method
• Simple average method

   

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

 

• Survey and sampling
  • Population and universe
  • Sampling
  • Sample
  • Types of Sampling
  • Steps in sampling