• 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.