• Meaning and Objective of Research
• Types of Research

(a) Descriptive/Analytical Research.
(b) Applied v/s/ Fundamental Research.
(c) Qualitative/Quantitative Research
(d) Other types of Research.

• Significance of research and scientific method.

• Research Process - Criteria of goods research.

(a) Identification research problem
(b) Selection of problem.
(c) Defining the research problem.

• Research Design - Meaning and purpose of research design, features of a good research design, different research designs.
• Sampling Design

(a) Implication and steps involved in sample design.
    -Criteria of selection of sample.
    -Different types of samples.
(b) Collection of data - primary and secondary.
(c) Interpretation of data - Techniques of analysis and precautions in Interpretation                                                  
   

• Meaning and Scope of Statistics; Classification, graphic representation of data.
• Sampling : Methods of Sampling, Sampling and Non-sampling errors.
• Measures of Central Tendency; Measures of Dispersion (absolute and     relative); Skewness and Kurtosis.
• Correlation: Introduction, types, methods of measuring correlation  (Karl Pearson's coefficient of correlation and rank correlation)
   

• Type 1 and Type II error & level of significance.  Large sample tests for proportions.  Difference in proportion for mean and difference in mean.
• Probability: Elementary idea, different Approaches to Probability, Calculation of Probability, Theorems of Probability.
• Theoretical Distributions : Binomial Distribution, Poisson and Normal Distribution.
   

• Regression.
• Elements of testing of a statistical hypothesis, Problem formulation.
• Applying T - Test for small samples for single mean, difference in mean, F - Test for equality of variance.
• Non-parametric tests, application of chi-square tests.