## Fundamental Statistics for Behavioral SciencesThis eighth edition of McCall's well-respected book continues to present concepts in a way that students can easily understand. The new edition has been updated throughout and now includes recommendations by the APA Task Force on Statistical Inference. As in previous editions, McCall helps students see the many real applications of statistics to research in the behavioral sciences. Taking 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. In this exciting revision, McCall continues to keep the data for the computational problems simple, so your students can focus on the rationale and outcome of techniques rather on the calculations themselves. Using clear discussion, a wide variety of end-of-chapter exercises, and examples drawn from actual studies, McCall helps students learn how to choose appropriate statistical methods and correctly interpret the results. Also retained in this edition are the author's step-by-step explanations for each proof and his clear definitions of symbols--the essential vocabulary of statistics--that have been so successful in helping students master the material. |

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### Contents

PART ONE DESCRIPTIVE STATISTICS | 1 |

Frequency Distributions and Graphing | 28 |

Characteristics of Distributions | 54 |

Copyright | |

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### Common terms and phrases

05 level aggressive analysis of variance associated assumptions average behavior calculated central tendency Chapter class interval column comparison computed confidence interval correlation coefficient critical value Decision Rules degrees of freedom described determine difference between means drug equal example extreme score Factor Figure formula frequency distribution frequency histogram given grand mean graph group means hypothesis testing independently sampled indicate males measurement median nondirectional test nondrugged nonparametric null hypothesis observed pairs parameter participants percentile point percentile rank population distribution population mean predict presented probability procedures proportion raw scores regression line reject H0 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 sy.x symbolized Table theoretical tion total number treatment effects Type I error zero