## Essentials of Statistics for the Behavioral ScienceThis 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. To ensure that even students with a weak background in mathematics can understand statistics, the authors skillfully by 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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very good college textbooks. u must have one to study social science

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#### Review: Essentials of Statistics for the Behavioral Science

User Review - Joecolelife - GoodreadsEasy to read and understand, easy help on homework problems on odd numbers (let's you check figures), simplifies statistics (however, I would've preferred that the book actually uses the actual signs ... Read full review

### Contents

Frequency Distributions | 33 |

Central Tendency | 55 |

Variability | 84 |

zScores Location of Scores and Standardized Distributions | 113 |

Probability | 134 |

Probability and Samples The Distribution of Sample Means | 160 |

Introduction to Hypothesis Testing | 188 |

Introduction to the t Statistic | 232 |

RepeatedMeasures and TwoFactor Analysis of Variance | 378 |

Correlation and Regression | 422 |

The ChiSquare Statistic Tests for Goodness of Fit and Independence | 471 |

Basic Mathematics Review | 505 |

Statistical Tables | 527 |

Solutions for OddNumbered Problems in the Text | 539 |

General Instructions for Using SPSS | 553 |

Statistics Organizer | 556 |

The t Test for Two Independent Samples | 257 |

The t Test for Two Related Samples | 287 |

Estimation | 310 |

Introduction to Analysis of Variance | 335 |

565 | |

569 | |

Summary of Statistics Formulas | 576 |

### Common terms and phrases

2008 Thomson Learning alpha level analysis of variance ANOVA average calculations central tendency Chapter chi-square test Cohen’s column compute confidence interval Copyright 2008 Thomson corresponding critical region critical value degrees of freedom demonstrate denominator determine df values difference scores distribution of sample estimated standard error evaluate exactly example expected frequencies F-ratio factor fail to reject formula frequency distribution table graph hypothesis test LEARNING CHECK located measure median normal distribution null hypothesis number of scores obtained participants Pearson correlation pooled variance population mean predicted probability problem proportion rats reject H0 reject the null relationship research study Rights Reserved sample data sample mean sample variance scale selected separate samples set of scores shows specific SPSS SSbetween standard deviation tail test with 05 tion treatment conditions treatment effect two-factor two-tailed test Type I error unit normal table variability z-score zero