SPSS 16.0 Guide to Data Analysis (2nd Edition) | 
enlarge | Author: Marija Norusis Publisher: Prentice Hall Category: Book
List Price: $85.33 Buy New: $65.48 You Save: $19.85 (23%)
New (31) Used (9) from $65.48
Rating: 1 reviews Sales Rank: 12783
Media: Paperback Edition: 2 Pages: 672 Number Of Items: 1 Shipping Weight (lbs): 2.1 Dimensions (in): 8.8 x 7.3 x 0.9
ISBN: 0136061362 Dewey Decimal Number: 519 EAN: 9780136061366
Publication Date: January 28, 2008 Availability: Usually ships in 1-2 business days Shipping: International shipping available Condition: Brand New. Delivery is usually 5 - 8 working days from order, International is by Royal Mail Airmail
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Product Description
The SPSS 16.0 Guide to Data Analysis is a friendly introduction to both data analysis and SPSS, the world’s leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With the SPSS 16.0 Guide to Data Analysis, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. Author Marija Noru?is incorporates a wealth of data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data files are supplied with the book and are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun! Data CD-ROM included.
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| Customer Reviews:
Excellent Introduction to Statistical Analysis Using SPSS March 8, 2008 Edward Torpy (Chicago, IL USA) 13 out of 14 found this review helpful
Marija Norusis is a great writer who can clearly articulate complex statistical concepts that the average person can understand. Her writing style is very conversational without sacrificing technical accuracy. Although this book is designed to be used as an introductory statistics book in a college course, it also serves as an excellent SPSS user's guide. The author describes the logic of hypothesis testing, the concept of "statistical significance", and the general concepts behind data analysis that the new data analyst can easily understand. Part I. Getting Started with SPSS 1. Introduction 2. An Introductory Tour of SPSS 3. Sources of Data Part II. Describing Data 4. Counting Responses 5. Computing Descriptive Statistics 6. Comparing Groups 7. Looking at Distributions 8. Counting Responses for Combinations of Variables 9. Plotting Data Part III. Testing Hypotheses 10. Evaluating Results from Samples 11. The Normal Distribution 12. Testing a Hypothesis about a Single Mean 13. Testing a Hypothesis about Two Related Means 14. Testing a Hypothesis about Two Independent Means 15. One-Way Analysis of Variance 16. Two-Way Analysis of Variance 17. Comparing Observed and Expected Counts 18. Nonparametric Tests Part IV. Examining Relationships 19. Measuring Association 20. Linear Regression and Correlation 21. Testing Regression Hypotheses 22. Analyzing Residuals 23. Building Multiple Regression Models 24. Multiple Regression Diagnostics
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