## Fundamental statistics for behavioral sciencesAs a textbook for the first course in applied statistics, [this book] is used primarily by students majoring in psychology, education, and other behavioral sciences. [The author] emphasize[s] the purpose, rationale, and application of important statistical concepts over rote memorization and the mechanical application of formulas. [This book] does not require much background in mathematics. ... the student need be familiar only with the thinking patterns learned in high school algebra and geometry; all relevant terms and operations are reviewed in Appendix 1. ... the book contains many computations and problems to solve, but most statistical formulas rely heavily on simple arithmetic, addition, subtraction, multiplication, division, and the taking of square roots ... [The book] presents discriptive statistics, inducing central tendency, variability, relative position, regression, and correlation. [It] deals with elementary inferential statistics, including sampling distributions, the logic of hypothesis testing, elementary parametric tests, and simple analysis of variance ... -Pref. |

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### Contents

DESCRIPTIVE STATISTICS | 1 |

Frequency distributions | 27 |

Characteristics of distributions | 49 |

Copyright | |

15 other sections not shown

### Common terms and phrases

aggressive analysis of variance average behavior calculated central tendency Chapter class interval computed constant correlation coefficient critical value Decision Rules degrees of freedom described determine difference between means divided drug equal equation example factor Figure formula given grades grand mean graph group means independently sampled linear relationship lower real limit measurement median nondirectional test nondrugged subjects null hypothesis number of scores number of subjects observed pairs of scores percentile point percentile rank population distribution population mean predict probability random sample raw scores reading scores regression line reject H0 reject the null result sample mean sample statistics sampling distribution sampling error SAT scores scale scatterplot score value selected significance level slope squared deviations standard deviation standard error standard normal distribution standard score statistical test sum of squares Suppose symbolized Table total number type I error zero