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Table of Contents
1. Nature and sources of data for inland fisheries management
2. Concept of sampling methodologies and their applications
3. Descriptive statistics for inland fisheries data
4. Basic concept of hypothesis testing and parametric test
5. ChiSquare test of significance
6. Use of non-parametric test in fisheries data
7. Analysis of variance (ANOVA) and design of experiments
8. Concept of simple correlation and regression
9. Analysis and interpretation of weight-length data of fish
10. Some multivariate analysis techniques for fisheries data
11. Introduction to electronic spreadsheet and Microsoft Excel
12. Introduction to R software
13. Introduction to graphics in R.
2. Concept of sampling methodologies and their applications
3. Descriptive statistics for inland fisheries data
4. Basic concept of hypothesis testing and parametric test
5. ChiSquare test of significance
6. Use of non-parametric test in fisheries data
7. Analysis of variance (ANOVA) and design of experiments
8. Concept of simple correlation and regression
9. Analysis and interpretation of weight-length data of fish
10. Some multivariate analysis techniques for fisheries data
11. Introduction to electronic spreadsheet and Microsoft Excel
12. Introduction to R software
13. Introduction to graphics in R.