Summary |
The book has been organised in the form of fourteen chapters and an appendix giving binomial, exponential, normal and logarithm tables. Each chapter begins with a chapter objectives which state specifically what the students should be able to do upon completion of the chapter.
The contents of the book includes below:
1. Statistics: An overview
2. Collection, classification and presentation of data
3. Measures of central tendency
4. Measures of dispersion
5. Moments, Skewness and Kurtosis
6. Correlation Analysis
7. Regression Analysis
8. Index Numbers
9. Analysis of time series
10. Introduction to Probability
11. Binomial distribution
12. Poisson distribution
13. Normal distribution
14. Statistical Decision theory
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