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Exercises

PASW Statistics 17 Made Simple (replaces SPSS Statistics 17) is the latest edition of one of the most widely read textbooks in its field.

For simple downloading, we've put all the exercises for this edition into a single ZIP file that you can download in one go:

Download the Exercises for PASW Statistics 17 Made Simple here

Downloadable Exercises for SPSS 16 Made Simple (previous edition)

• Exercise 1: Chapter 2 - Some simple operations with SPSS 16
• Exercise 2: Chapter 2 - Questionnaire data
• Exercise 3: Chapter 3 - Merging files – Adding cases & variables
• Exercise 4: Chapter 4 - Correcting and preparing your data
• Exercise 5: Chapter 4 - Preparing your data (continued)
• Exercise 6: Chapter 5 - Charts and graphs
• Exercise 7: Chapter 5 - Recoding data; selecting cases; line graph
• Exercise 8: Chapter 6 - Comparing the averages of two independent samples of data
• Exercise 9: Chapter 6 - Comparing the averages of two related samples of data
• Exercise 10: Chapter 6 - One-sample tests
• Exercise 11: Chapter 7 - One-factor between subjects ANOVA
• Exercise 12: Chapter 8 - Between subjects factorial ANOVA (two-way ANOVA)
• Exercise 13: Chapter 9 - One-factor within subjects (repeated measures) ANOVA
• Exercise 14: Chapter 9 - Two-factor within subjects ANOVA
• Exercise 15: Chapter 10 - Mixed ANOVA: two-factor experiment
• Exercise 16: Chapter 10 - Mixed ANOVA: three-factor experiment
• Exercise 17: Chapter 11 - The Pearson correlation
• Exercise 18: Chapter 11 - Other measures of association
• Exercise 19: Chapter 11 - The analysis of nominal data
• Data: Chapter 12 - Simple & Multiple Regression
• Exercise 20: Chapter 12 - Simple, two-variable regression
• Exercise 21: Chapter 12 - Multiple regression
• Exercise 22: Chapter 12 - Loglinear analysis
• Data: Chapter 14 - Logistic regression
• Exercise 23: Chapter 14 - Predicting category membership: Discriminant analysis and binary logistic regression
• Data: Chapter 15 - Visual function and diabetic variables
• Exercise 24: Chapter 15 - Factor analysis
• Revision Exercises

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