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Introduction
Graphing Distributions
Summarizing Distributions
Describing Bivariate Data
Contents
Standard
Introduction to Bivariate Data
Standard
Video
Values of the Pearson Correlation
Standard
Video
Guessing Correlations
Standard
Properties of r
Standard
Video
Computing r
Standard
Video
Restriction of Range Demo
Standard
Variance Sum Law II
Standard
Video
Statistical Literacy
Standard
Exercises
Standard
Probability
Research Design
Normal Distribution
Advanced Graphs
Sampling Distributions
Estimation
Logic of Hypothesis Testing
Tests of Means
Power
Regression
Analysis of Variance
Transformations
Chi Square
Distribution Free Tests
Effect Size
Case Studies
Calculators
Glossary
Chapter:
Front
1. Introduction
2. Graphing Distributions
3. Summarizing Distributions
4. Describing Bivariate Data
5. Probability
6. Research Design
7. Normal Distribution
8. Advanced Graphs
9. Sampling Distributions
10. Estimation
11. Logic of Hypothesis Testing
12. Tests of Means
13. Power
14. Regression
15. Analysis of Variance
16. Transformations
17. Chi Square
18. Distribution Free Tests
19. Effect Size
20. Case Studies
21. Calculators
22. Glossary
Section:
Contents
Introduction to Bivariate Data
Values of the Pearson Correlation
Guessing Correlations
Properties of r
Computing r
Restriction of Range Demo
Variance Sum Law II
Statistical Literacy
Exercises
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Standard View
introduction
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r and nonlinearity
|
symbols
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values of r
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perfect linear relationship
|
perfect negative relationship
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no relationship
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real data
Learning Objectives
Describe what Pearson's correlation measures
Give the symbols for Pearson's correlation in the sample and in the population
State the possible range for Pearson's correlation
Identify a perfect linear relationship