Numbers, Hypotheses and Conclusions: A Course in Statistics for the Social Sciences

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

This textbook provides an overview of entry- and intermediate-level statistics. Topics include a review of basic mathematics, normal distribution theory and practice, factorial and repeated measures ANOVA, and meta-analysis. Useful information on research methods includes how to use spreadsheets, the Internet, and the statistical software packages SPSS and STATISTICA to facilitate, analyze, and interpret research. With an emphasis on developing skills through practice, both the text and the web-based CD-ROM provide extensive examples, exercises, and tests.

Author(s): Colin Tredoux, Kevin Durrheim
Publisher: Juta Academic
Year: 2004

Language: English
Commentary: 47179
Pages: 542

Contents......Page 4
Preface......Page 6
List of Contributors......Page 8
Glossary of Symbols......Page 9
SECTION 1: Statistics......Page 10
Tutorial 1. Numbers, variables, and measures......Page 11
Tutorial 2. Displaying data......Page 27
Tutorial 3. Central tendency......Page 49
Tutorial 4. Variability......Page 61
Tutorial 5. Probability and theoretical distributions......Page 79
Tutorial 6. The standard normal distribution......Page 99
Tutorial 7. The sampling distribution of the mean......Page 117
Tutorial 8. Hypothesis testing: the z-test......Page 136
Tutorial 9. T-tests......Page 151
Tutorial 10. Regression......Page 169
Tutorial 11. Correlation......Page 190
Tutorial 12. Measurement......Page 210
Tutorial 13. Statistical power......Page 239
Tutorial 14. The logic of analysis of variance......Page 261
Tutorial 15. One-way analysis of variance......Page 280
Tutorial 16. Factorial analysis of variance......Page 298
Tutorial 17. Repeated measures analysis of variance......Page 320
Tutorial 18. Multiple regression......Page 347
Tutorial 19. Chi-square test......Page 373
Tutorial 20. Distribution-free tests......Page 394
Tutorial 21. Meta analysis......Page 411
Tutorial 22. Statistical reasoning......Page 432
SECTION 2: Mathematics and Software Support......Page 451
Tutorial 23. Basic work with numbers......Page 452
Tutorial 24. Equations, substitution, and summation......Page 469
Tutorial 25. Reading and understanding graphs......Page 480
z-table......Page 493
t-table......Page 495
power......Page 496
F (α = 0.05)......Page 497
F (α = 0.01)......Page 498
Tukey's Q......Page 499
Chi-square......Page 500
Wilcoxon......Page 501
Mann-Witney (α = 0.05)......Page 502
Mann-Witney (α = 0.025)......Page 503
Appendix 2: Starting with SPSSĀ®......Page 504
References......Page 528
B......Page 531
C......Page 532
D......Page 533
G......Page 534
L......Page 535
N......Page 536
P......Page 537
R......Page 538
S......Page 539
T......Page 540
W......Page 541
Z......Page 542