Summary
Contents
Subject index
This text introduces the essentials of the statistical technique. Rather than rote memorization of formulae, the emphasis is on developing an understanding of the underlying logic of statistics. Toward that end, the author uses an informal prose style, and avoids overwhelming the reader with complex notation and derivation. There are numerous exercises and problems graded for difficulty. A list of Greek symbols used in statistics is found inside the back cover for quick reference.
Correlational Techniques
Correlational Techniques
Learning Objectives
After reading this chapter, you should be able to do the following:
- Describe the difference between a positive and a negative correlation.
- Compute Pearson’s coefficient using the raw-score, the deviation-score, and the z-score formulas.
- Define linearity of regression, homoscedasticity, and discontinuity, and describe how these factors affect the correlation.
- Define and provide a formula for the coefficient of determination.
- Provide the t ratio for the Pearson correlation coefficient.
- Run the Pearson correlation test of significance for a given set of data.
- Describe the kind of research problem suitable for the Spearman rank-order correlation test.
- Run the rank-order correlation test for a given set of data.
- Construct a bivariate frequency distribution and scattergram for a given set of data.
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