## Essentials of statistics for the behavioral sciencesThis brief version of Gravetter and Wallnau's proven best-seller offers the straightforward instruction, accuracy, built-in learning aids, and wealth of real-world examples that professors AND students have come to appreciate. The authors take time to explain statistical procedures so that students can go beyond memorizing formulas and gain a conceptual understanding of statistics. By integrating applications to ensure that even students with a weak background in mathematics can understand statistics, the authors skillfully demonstrate that having an understanding of statistical procedures help them comprehend published findings, and become savvy consumers of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support instructors with class preparation and testing. |

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### Contents

INTRODUCTION TO STATISTICS 1 | 22 |

CENTRAL TENDENCY | 52 |

VARIABILITY | 81 |

Copyright | |

39 other sections not shown

### Other editions - View all

Essentials of Statistics for the Behavioral Sciences Frederick Gravetter,Larry Wallnau Limited preview - 2013 |

Essentials of Statistics for the Behavioral Science Frederick Gravetter,Larry Wallnau Limited preview - 2007 |

### Common terms and phrases

alpha level analysis of variance ANOVA average calculations central tendency Chapter Cohen's column compute confidence interval critical region critical value degrees of freedom demonstrate denominator dependent variable determine difference scores distribution of sample equation estimated standard error evaluate exactly example expected F-ratio factor fail to reject formula frequency distribution table graph hypothesis test independent-measures individual differences inferential statistics interval estimate LEARNING CHECK located main effect median normal distribution Note null hypothesis number of scores obtained participants Pearson correlation point estimate pooled variance population mean predicted probability problem proportion random sample rats reject H0 reject the null relationship research study sample data sample statistic sample variance selected separate samples set of scores shows specific SPSS squared deviations standard deviation STEP tail test statistic tion treatment conditions treatment effect two-factor two-tailed test Type I error unit normal table unknown population z-score value zero