Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or societal problem, it is conventional to begin with a statistical population.

**Introduction of Statistics**

- Background and definition of Statistics
- Descriptive and inferential statistics
- Variable and its type
- Measurement scale and types
- Statistical data
- Source of data
- Collection of data
- Management of data by tabulation
- Classification
- Graph, Charts & Histogram
- Pie chart, Scatter diagram, Box plot and Line chart

**Sampling and Sampling Techniques**

- Concept of population and sample
- Reasons to use sampling
- Random number and their application
- Sampling techniques
- Random (simple random sampling, Systematic, stratified random sampling, Cluster sampling) and Non-random sampling (judgment sampling/purposive sampling, Convenience, Quota and snowball sampling)
- Determination of sample size
- Error, Sources of error and bias

**Measures of Location and Dispersion**

- Measure of central tendency and its types
- Arithmetic mean
- Median, Mode and Geometric mean
- Absolute and relative dispersion
- Range & mean deviation
- Quartile deviation
- Standard deviation
- Variance & significance of standard deviation
- Coefficient of variation
- Symmetry, Skewness and its measure

**Probability and Probability Distribution**

- Introduction of probability and its uses in psychology
- Venn diagram
- Concept of random experiment, definition of probability and its measurement
- Laws of probability
- Binomial distribution
- Poisson distribution
- Normal distribution and its application

**Statistical Inference**

- Introduction of inference & its types
- Estimation and testing of Hypothesis
- Sampling distribution of mean
- Standard error of mean
- Point estimation
- Confidence interval of population mean
- Null and alternative hypothesis, Type I & II error
- Test of significance based on Z, t, F, χ2 distributions
- Concept of p-value
- Test of mean for small and large sample
- Test for independent and paired observations
- Inference regarding correlation and regression coefficient
- ANOVA (Analysis of variance)

**Regression and Correlation Analysis**

- Introduction to relationship
- Scatter diagram
- Regression analysis
- Simple linear regression line
- Least square method for fitting regression line
- Simple concept of multiple regression correlation analysis
- Simple linear correlation and correlation coefficient
- Coefficient of determination
- Interpretation of correlation coefficient & association
- Measure of association
- Contingency table
- Test of independence

**Non Parametric Tests**

- Introduction to distribution free procedures
- Different types of non parametric tests like sign test
- Wilcoxon signed rank test
- Mann-Whitney U test
- Kruskal-Wills (H-test) test

**Data Analysis & SPSS**

- Preparation of data for analysis by using computer software SPSS

- SPSS for windows step by step a simple guide and reference 18.0 update byCall Number: 005.55 GEOISBN: 9789332518124Publication Date: 2015

- Research Methods and Statistics in Psychology byCall Number: 150.72 HASISBN: 9781446255971Publication Date: 2014