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