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SPSS 8.0 Guide to Data Analysis

Buch | Softcover
563 Seiten
1998
Pearson (Verlag)
978-0-13-687484-3 (ISBN)
CHF 71,75 inkl. MwSt
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Introduces the concepts of data analysis from collecting and coding data to interpreting the results of statistical analysis. This guide includes instructions for operating the student version of SPSS 8.0 for Windows. It is intended for undergraduate or graduate courses in which knowledge of SPSS as a tool for data analysis is desired.
For undergraduate or graduate courses in which greater knowledge of SPSS as a tool for data analysis is desired. Also for courses in Data Analysis.
This text introduces the concepts of data analysis from collecting and coding data to interpreting the results of statistical analyses. The emphasis is on understanding fundamental concepts such as data distributions and different kinds of relationships. Simulations and analyses of real data are used to illustrate statistical concepts and models. Chapter summaries and exercises reinforce learning. In addition to teaching statistics, this guide includes instructions for operating the full or student version of SPSS 8.0 for Windows. Extensive problem sets using the companion data disk make this both a useful textbook and reference tool.

1. GETTING STARTED WITH SPSS.

 1. Introduction.
 2. An Introductory Tour: SPSS for Windows.
2. DESCRIBING DATA.

 3. Counting Responses.
 4. Computing Descriptive Statistics.
 5. Comparing Groups.
 6. Looking at Distributions.
 7. Counting Responses for Combinations of Variables.
 8. Plotting Data.
3. TESTING HYPOTHESES.

 9. Evaluating Results from Samples.
10. The Normal Distribution.
11. Testing a Hypothesis about a Single Mean.
12. Testing a Hypothesis about Two Related Means.
13. Testing a Hypothesis about Two Independent Means.
14. One-Way Analysis of Variance.
15. Two-Way Analysis of Variance.
16. Comparing Observed and Expected Counts.
17. Nonparametric Tests.
4. EXAMINING RELATIONSHIPS.

18. Measuring Association.
19. Linear Regression and Correlation.
20. Testing Regression Hypotheses.
21. Analyzing Residuals.
22. Building Multiple Regression Models.
23. Multiple Regression Diagnostics.
APPENDICES.

A. Obtaining Charts in SPSS.
B. Transforming and Selecting Data.
C. The T Distribution.
D. Areas under the Normal Curve.
E. Descriptions of Data Files.
Bibliography.
Index.

Erscheint lt. Verlag 21.8.1998
Sprache englisch
Maße 230 x 190 mm
Gewicht 998 g
Themenwelt Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
ISBN-10 0-13-687484-3 / 0136874843
ISBN-13 978-0-13-687484-3 / 9780136874843
Zustand Neuware
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