• 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

   

• 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

 

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

   

• Decision Theory          
  • Decision Theory
    • Decision analysis concept
    • Types of decision making environment
    • Decision making under certainty
    • Decision making under un uncertainty
    • Maximin, minimax, maximax, Laplace and Hurwitz alpha criterion
    • Decision making under risk –EOL,EMV and EVPI criteria
    • Decision trees

     

• 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

 

• 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

 

• Analysis of Data-Discriminent Analysis, Factor Analysis, Conjoint Analysis, MDS, Cluster Analysis           
  • Data Analysis
  • Univariate analysis
  • Bivariate analysis
    • Multivariate analysis
    • Discriminant analysis
    • Factor analysis
    • Cluster analysis
    • MDS
    • Conjoint Analysis

   

• Research- Meaning, Scope, Significance and Characteristics       
  • Introduction
  • Definition
  • Characteristics
  • Criteria of good research.

 

• Types of Research        

 

• Report Preparation-Significance, Types of Report, Steps in Report Writing and  Layout of Report       
  • Report writing
    • Significance
    • Types of reports
    • Steps in report writing
    • Layout of report.