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

 

• Types of Research

 

• Research Process-Problem Formulation, Statement of Research Objectives, Review of Literature, Hypothesis
  • Research Process
  • Define research problem and objectives.
  • Review of literature
  • Formulation of hypothesisResearch design
    • Variables /Attributes
    • Types of variables
    • Hypothesis
      • Meaning
      • Sources
      • Types.

   

• Research Design-Types and  Features

 

• Introduction to Statistics-Hypothesis Testing
  • Test of significance
    • Introduction-Hypothesis testing.
    • Assumption 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.

 

• Measurement and Scaling- Meaning, Types and Techniques
  • Measurement scales
  • Measurement and scaling
  • Types of scales
  • Scaling techniques.
    • Classification.

   

• Survey and Sampling Methods- Sample Size
  • Survey and sampling
    • Population and universe.
    • Sampling
    • Sample
    • Types of sampling
    • Steps in sampling

 

• 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

 

• Test of Significance
  • 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

     

• Parametric Tests
  • Parametric Test
  • Hypothesis test for the mean
    • Z test
    • t Test
  • ANOVA

 

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

 

• 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

   

• 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

 

• 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.