Biostatistical Analysis / Jerrold H. Zar.
Material type: TextLanguage: English Publication details: India : Pearson India Education Services Pvt Ltd, 2014,Edition: 5th edDescription: 756 p. : ill. ; 24 cmISBN:- 9789332536678
- Biostatistical Analysis
- 23 574.0415195 ZAR
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
Text Books | CUTN Central Library Sciences | Non-fiction | 574.0415195 ZAR (Browse shelf(Opens below)) | Available | 47708 |
1. Data Types and Presentation
2. Populations and Samples
3. Measures of Central Tendency
4. Measures of Variability and Dispersion
5. Probabilities
6. The Normal Distribution
7. One-Sample Hypotheses
8. Two-Sample Hypotheses
9. Paired-Sample Hypotheses
10. Multisample Hypotheses and the Analysis of Variance
11. Multiple Comparisons
12. Two-Factor Analysis of Variance
13. Data Transformation
14. Multiway Factorial Analysis of Variance
15. Nested (HIERARCHICAL) Analysis of Variance
16. Multivariate Analysis of Variance
17. Simple Linear Regression
18. Comparing Simple Linear Regression
19. Simple Linear Correlation
20. Multiple Regression and Correlation
21. Polynomial Regression
22. Testing for Goodness of fit
23. Contingency Tables
24. Dichotomous Variables
25. Testing for Randomness
26. Circular Distribution: Descriptive Statistics
27. Circular Distribution: Hypothesis Testing
Literature Cited
Index
Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive reference book for biological researchers and for advanced students. This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology or statistics and assumes a prerequisite of algebra.
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