Concepts and Applications of Inferential Statistics
Authors:
Richard Lowry ,
Vassar College
Content URL: Link To Content
About Concepts and Applications of Inferential Statistics:
Excerpts from book:
Table of Contents
Chapter
1. Principles of Measurement
2. Distributions
3. Introduction to Correlation & Regression
3a. Partial Correlation
3b. Rank-Order Correlation
4. A First Glance at the Question of Statistical Significance
Appendix: Sampling Distributions of r
Appendix: Test for the Significance of r
5. Basic Concepts of Probability
Appendix: Exact Binomial Probability Calculator
6. Introduction to Probability Sampling Distributions
Appendix: Binomial Sampling Distribution Generator
Appendix: z to P Calculator
7. Tests of Statistical Significance: Three Overarching Concepts
8. Chi-Square Procedures for the Analysis of Categorical Frequency Data
Appendix: Chi-Square Sampling Distribution Generator
8a. The Fisher Exact Probability Test
9. Introduction to Procedures Involving Sample Means
Appendix: Sampling Distributions of t
10. t-Procedures for Estimating the Mean of a Population
11. t-Test for Two Independent Samples
11a. Non-Parametric Alternative:
11a. The Mann-Whitney Test
12. t-Test for Two Correlated Samples
12a. Non-Parametric Alternative:
11a. The Wilcoxon Signed-Rank Test
13. Conceptual Introduction to the Analysis of Variance
Appendix: Sampling Distributions of F
14. One-Way Analysis of Variance for Independent Samples
14a. Non-Parametric Alternative:
14a. The Kruskal-Wallis Test
15. One-Way Analysis of Variance for Correlated Samples
15a. Non-Parametric Alternative:
15a. The Friedman Test
16. Two-Way Analysis of Variance for Independent Samples
17. One-Way Analysis of Covariance for Independent Samples
A. Table of the Unit Normal Distribution
B. Critical Values of Chi-Square
C. Critical Values of t
D. Critical Values of F
Table of Contents
Chapter
1. Principles of Measurement
2. Distributions
3. Introduction to Correlation & Regression
3a. Partial Correlation
3b. Rank-Order Correlation
4. A First Glance at the Question of Statistical Significance
Appendix: Sampling Distributions of r
Appendix: Test for the Significance of r
5. Basic Concepts of Probability
Appendix: Exact Binomial Probability Calculator
6. Introduction to Probability Sampling Distributions
Appendix: Binomial Sampling Distribution Generator
Appendix: z to P Calculator
7. Tests of Statistical Significance: Three Overarching Concepts
8. Chi-Square Procedures for the Analysis of Categorical Frequency Data
Appendix: Chi-Square Sampling Distribution Generator
8a. The Fisher Exact Probability Test
9. Introduction to Procedures Involving Sample Means
Appendix: Sampling Distributions of t
10. t-Procedures for Estimating the Mean of a Population
11. t-Test for Two Independent Samples
11a. Non-Parametric Alternative:
11a. The Mann-Whitney Test
12. t-Test for Two Correlated Samples
12a. Non-Parametric Alternative:
11a. The Wilcoxon Signed-Rank Test
13. Conceptual Introduction to the Analysis of Variance
Appendix: Sampling Distributions of F
14. One-Way Analysis of Variance for Independent Samples
14a. Non-Parametric Alternative:
14a. The Kruskal-Wallis Test
15. One-Way Analysis of Variance for Correlated Samples
15a. Non-Parametric Alternative:
15a. The Friedman Test
16. Two-Way Analysis of Variance for Independent Samples
17. One-Way Analysis of Covariance for Independent Samples
A. Table of the Unit Normal Distribution
B. Critical Values of Chi-Square
C. Critical Values of t
D. Critical Values of F