SPSS 11.0 for Windows Student Version

SPSS 11.0 for Windows Student Version

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For courses in Intro and Business Statistics.SPSS brings affordable, professional statistical analysis and modeling tools right to a student's own PC. Based on the professional version of one of the world's leading desktop statistical software packages, SPSS 11.0 for Windows Student Version includes an easy-to-use interface and comprehensive on-line help that enables students to learn statistics, not software. An arsenal of robust features, including time series, allows for even the most complete analysis. System Requirements: Microsoft Windows 98 or NT 4.0, 586DX or better IBM-compatible PC, 80 MB hard disk space, 64 MB RAM minimum, 32 MB virtual memory, SVGA monitor, and Windows-compatible mouse. To license the SPSS Student Version, you must be a currently enrolled student or an instructor, and using the product for educational purposes only. Installation on a network or in an academic lab isstrictly prohibited by the license agreementshow more

Product details

  • Mixed media product | 1 pages
  • 201.2 x 252.5 x 30.2mm | 426.38g
  • Pearson Education Limited
  • Prentice-Hall
  • Harlow, United Kingdom
  • English
  • Beil.: Handb.
  • 0130348465
  • 9780130348463

Table of contents

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. 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.show more

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