SPSS 10.0 guide to data analysis
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書誌事項
SPSS 10.0 guide to data analysis
Prentice Hall, 2000
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注記
Includes bibliographical references (p.567) and index
内容説明・目次
内容説明
For introductory courses in data analysis and SPSS. Can also be used as a supplement for introductory and business statistics.
This friendly, easy-to-understand introduction enables students to get a jump start on describing data, testing hypotheses, and examining relationships using SPSS. A combination of examples, exercises, and data files gives readers hands-on experience finding meaning in data.
目次
I. GETTING STARTED WITH SPSS.
1. Introduction.
2. An Introductory Tour: SPSS for Windows.
II. 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.
III. 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.
IV. 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.
F. Answers to Selected Exercises.
Bibliography.
Index.
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