Description



Table of Contents

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 B: Analysis of Variance Hypothesis Testing

Answers to Exercises

Literature Cited

Author Index

Subject Index

Biostatistical Analysis Classic Version

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    A Paperback by Jerrold H. Zar

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      Publisher: Pearson Education
      Publication Date: 21/03/2018
      ISBN13: 9780134995441, 978-0134995441
      ISBN10:

      Description



      Table of Contents

      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 B: Analysis of Variance Hypothesis Testing

      Answers to Exercises

      Literature Cited

      Author Index

      Subject Index

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