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Items Available:
PDF Versions of Chapters 117
Streamlined Computational Procedures
Statistical Tables
PDF Versions of Chapters 117
Ch 1. Principles of Measurement
Part 1 [48K] ~ Part 2 [48K]
Ch 2. Distributions
Part 1 [324K] ~ Part 2 [80K] ~ Part 3 [56K]
Ch 3. Introduction to Correlation & Regression
Part 1 [292K] ~ Part 2 [80K] ~ Part 3 [200K]
3a. Partial Correlation [32K]
3b. Rank-Order Correlation [36K]
Ch 4. A First Glance at the Question of Statistical Significance
Entire Chapter [264K]
Ch 5. Basic Concepts of Probability
Part 1 [36K] ~ Part 2 [40K] ~ Part 3 [40K]
Ch 6. Introduction to Probability Sampling Distributions
Entire Chapter [288K]
Ch 7. Tests of Statistical Significance: Three Overarching Concepts
Entire Chapter [160K]
Ch 8. Chi-Square Procedures for the Analysis of Categorical Frequency Data
Part 1 [236K] ~ Part 2 [92K] ~ Part 3 [200K]
8a. The Fisher Exact Probability Test [40K]
Ch 9. Introduction to Procedures Involving Sample Means
Part 1 [236K] ~ Part 2 [52K] ~ Part 3 [128K]
Ch 10. t-Procedures for Estimating the Mean of a Population
Entire Chapter [184K]
Ch 11. t-Test for Two Independent Samples
Entire Chapter [104K]
11a. The Mann-Whitney Test [80K]
Ch 12. t-Test for Two Correlated Samples
Entire Chapter [120K]
12a. The Wilcoxon Signed-Ranks Test [72K]
Ch 13. Conceptual Introduction to the Analysis of Variance
Entire Chapter [108K]
Ch 14. One-Way Analysis of Variance for Independent Samples
Part 1 [80K] ~ Part 2 [144K]
14a. The Kruskal-Wallis Test [68K]
Ch 15. One-Way Analysis of Variance for Correlated Samples
Part 1 [132K] ~ Part 2 [108K] ~ Part 3 [80K]
15a. The Friedman Test [96K]
Ch 16. Two-Way Analysis of Variance for Independent Samples
Part 1 [108K] ~ Part 2 [120K] ~ Part 3 [152K]
Part 4 [168K] ~ Part 5 [28K]
Ch 17. One-Way Analysis of Covariance for Independent Samples
Part 1 [76K] ~ Part 2 [156K] ~ Part 3 [192K]
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Streamlined Computational Procedures for:
Linear Correlation & Regression [from Chapter 3]
Estimating the Mean of a Population on the Basis of Information Contained within a Sample [from Chapter 10]
t-Test for the Significance of the Difference between the Means of Two Independent Samples [from Chapter 11]
t-Test for the Significance of the Difference between the Means of Two Correlated Samples [from Chapter 12]
One-Way Analysis of Variance for Independent Samples [from Chapter 14]
One-Way Analysis of Variance for Correlated Samples [from Chapter 15]
Two-Way Analysis of Variance for Independent Samples [from Chapter 16]
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Statistical Tables:
Table of the Unit Normal Distribution
Table of Critical Values of t
Table of Critical Values of F
Table of Critical Values of Chi Square
[The values appearing in these tables have been calculated using built-in proprietary functions of Microsoft Excel.]
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