SPSS 10.0 Guide to Data Analysis
Published on 8. September 2000
Book
Paperback/Softback
577 pages
978-0-13-029204-9 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 228 mm
Width: 188 mm
Thickness: 21 mm
Weight
799 gr
ISBN-13
978-0-13-029204-9 (9780130292049)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
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.
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.