Fundamental Statistics for Behavioral SciencesThis text takes a traditional approach to teaching the basic statistical concepts and methods used in behavioral research. McCall emphasizes building an understanding of the logic of statistics rather than stressing the mechanics. Similarly, the data for computational problems has been kept simple, so students can focus on the rationale and outcome of techniques instead of the calculations themselves. Behavioral research issues are built into the problems and exercises. |
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Contents
PART ONE DESCRIPTIVE STATISTICS | 1 |
Frequency Distributions and Graphing | 27 |
Characteristics of Distributions | 58 |
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aggressive analysis of variance associated assumptions average behavior calculated central tendency Chapter class interval column comparison computed confidence intervals correlation coefficient critical value Decision Rules degrees of freedom determine difference between means drug equal example extreme score factor Figure formula frequency distribution frequency histogram given grand mean graph group means H₁ independently sampled indicate measurement median N₁ N₂ nondirectional test nondrugged nonparametric null hypothesis number of subjects observed parameters percentile point percentile rank population distribution population mean predicted probability procedures random raw scores regression line reject H reject the null represents result sample mean sampling distribution sampling error scale score value selected significance level squared deviations standard deviation standard error standard normal distribution standard scores stem-and-leaf display sum of squares Suppose symbolized Table theoretical total number treatment effects type I error X₁ zero ΣΥ ΣΧ