Understanding Statistical Concepts Using S-plus

1. Auflage 2001
ISBN: 978-0-8058-3623-3
Verlag: Taylor & Francis Inc

Buch, Englisch, 386 Seiten, Format (B × H): 177 mm x 252 mm, Gewicht: 689 g

Written as a supplemental text for an introductory or intermediate statistics course, this book is organized along the lines of many popular statistics texts. The chapters provide a good conceptual understanding of basic statistics and include exercises that use S-PLUS simulation programs. Each chapter lists a set of objectives and a summary.

The book offers a rich insight into how probability has shaped statistical procedures in the behavioral sciences, as well as a brief history behind the creation of various statistics. Computational skills are kept to a minimum by including S-PLUS programs that run the exercises in the chapters. Students are not required to master the writing of S-PLUS programs, but explanations of how the programs work and program output are included in each chapter. S-PLUS is an advanced statistical package that has an extensive library of functions, which offer flexibility in writing customized routines.

The S-PLUS functions provide the capability of programming object and dialog windows, which are commonly used in Windows software applications. The S-PLUS program also contains pull-down menus for the statistical analysis of data.

A ZIP file containing programs that work in S-PLUS 6.2 for use with this book is available for download from http://www.psypress.com/resources/9780805836233.zip - please note that these scripts will only run in S-PLUS 6.2 and not later versions due to changes in the programming language syntax.

Autoren/Hrsg.

Schumacker, Randall E.

Akers, Allen

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

PREFACE

ACKNOWLEDGMENTS

PART I: INTRODUCTION AND STATISTICAL THEORY

1. Statistical Theory

2. Generating Random Numbers

3. Frequency Distributions

4. Stem and Leaf Plots

5. Population Distributions

6. Measures of Central Tendency

7. Measures of Dispersion

8. Sample Size Effects

9. Tchebysheff Inequality Theorem

10. Normal Bell-Shaped Curve

PART II: PROBABILITY AND PROBABILITY DISTRIBUTIONS

11. Probability

12. Joint Probability

13. Addition Law of Probability

14. Multiplication Law of Probability

15. Conditional Probability

16. Combinations and Permutations

PART III: MONTE CARLO AND STATISTICAL DISTRIBUTIONS

17. Binomial Distribution

18. Monte Carlo Simulation

19. Normal Distribution

20. t Distribution

21. Chi-square distribution

22. F Distribution

PART IV: SAMPLING AND INFERENCE

23. Sampling Distributions

24. Central Limit Theorem

25. Confidence Intervals

26. Hypothesis Testing

27. Type I Error

28. Type II Error

PART V: HYPOTHESIS TESTING IN RESEARCH
29. z test statistic for proportions

30. Chi-square test statistic

31. t Test for Mean Differences

32. Analysis of Variance

33. Correlation

34. Linear Regression

PART VI: REPLICABILITY OF FINDINGS
35. Cross Validation

36. Jackknife

37. Bootstrap

38. Meta-Analysis

39. Significance Testing vs. Practical Importance

GLOSSARY OF TERMS

ABOUT THE AUTHORS

APPENDIX

ANSWERS TO CHAPTER EXERCISES

AUTHOR INDEX

SUBJECT INDEX

Über Autor(innen)

Schumacker, Randall E.