• 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