## 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 begin gaining a conceptual understanding of statistics. To ensure that even students with a weak background in mathematics can understand statistics, the authors skillfully integrate applications that reinforce concepts. The authors take care to show students how having an understanding of statistical procedures will help them comprehend published findings and will lead them to 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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. |

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### Contents

Introduction And Descriptive Statistics | 1 |

Foundations Of Inferential Statistics | 119 |

Using t Statistics For Inferences About Population Means And Mean Differences | 249 |

Analysis Of Variance Tests For Differences Among Two Or More Population Means | 363 |

Correlations And Nonparametric Tests | 465 |

Basic Mathematics Review | 562 |

Statistical Tables | 584 |

Solutions for OddNumbered Problems in the Text | 596 |

General Instructions for Using SPSS | 611 |

Statistics Organizer | 614 |

624 | |

628 | |

### 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 ANOVA average calculations central tendency Chapter chi-square test Cohen’s column compute confidence interval corresponding critical region critical value degrees of freedom demonstrate denominator dependent variable determine df values difference scores differences between treatments distance distribution of sample effect size estimated standard error evaluate exactly exam expected frequencies F-ratio factor formula frequency distribution table graph hypothesis test identify inferential statistics interaction LEARNING CHECK located main effect median normal distribution Note null hypothesis number of scores obtained one-tailed test participants Pearson correlation pooled variance population mean predicted probability problem proportion reject H0 reject the null relationship repeated-measures design research study sample data sample mean sample statistic sample variance scale selected set of scores shows significant difference Specifically SPSS SSbetween standard deviation tail test with 05 treatment conditions treatment effect two-tailed test Type I error unit normal table unknown population z-score zero