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PDF Versions of Chapters 1—17

Streamlined Computational Procedures

Statistical Tables

PDF Versions of Chapters 1—17

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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