Objectives:
The course is aimed at enabling the student to understand:
2. Research Design: Purpose of research and time dimensions based research design: Explorative, Descriptive and Explanatory, Cross-sectional and Longitudinal research studies.
:Scaling Techniques: Purpose of Scaling Techniques, Types of scales: Nominal, Ordinal, Interval and Ratio Scales.
Data Collection Techniques: Primary and Secondary data collection techniques
Statistics: Meaning, Importance, Limitations, Classifications and Tabulation of data, discrete and continuous variables. Frequency Distributions and Cumulative frequency distribution, Diagrammatic and Graphical presentation of data
Mean, Median and Mode
Measure of Dispersion Range, Quartile Deviation, Mean Deviation and standard deviation, coefficient of variation.
Correlation and Regression analysis
Parametric analysis: Sampling Distribution and Standard Error. Element of Testing a Statistical Hypothesis- Formulation of the problem, Types of errors. Level of significance, large sample test for proportions, single mean and difference in two means. Small sample test- Application of Student’s t- test for small sample for single mean, difference in two means (independent and paired-t). ANOVA
Chi-square test for population variance, Krukal Wallis H Test, Mann Whitney U – test.
Presentation and Report writing:
2. The elements of research project