Biostatistical Analysis, 5th edition

Published by Pearson (March 21, 2018) © 2019

  • Jerrold H. Zar Northern Illinois University
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Biostatistical Analysis, 5th Edition is the ideal textbook for students seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. This revision 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 title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

  1. Data: Types and Presentations
  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 Transformations
  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 Equations
  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 Distributions: Descriptive Statistics
  27. Circular Distributions: Hypothesis Testing

Appendix A: The Greek Alphabet

Appendix B: Statistical Tables and Graphs

Appendix C: The Effects of Coding Data

Appendix D: Analysis of Variance Hypothesis Testing

Answers to Exercises

Literature Cited

Author Index

Subject Index

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