## Explaining Psychological StatisticsThis comprehensive graduate-level statistics text is aimed at students with a minimal background in the area or those who are wary of the subject matter. The new edition of this successful text will continue to offer students a lively and engaging introduction to the field, provide comprehensive coverage of the material, and will also include examples and exercises using common statistical software packages (SPSS). |

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#### Review: Explaining Psychological Statistics

User Review - Cristina - Goodreadseasy-to-read overview of psych stats Read full review

#### Review: Explaining Psychological Statistics

User Review - Cristina - GoodreadsI've read about half of it (just the topics I was interested in); in my opinion, if you need or want to understand psychological statistics, this is THE book to read. Barry Cohen does a great job ... Read full review

### Contents

Descriptive Statistics | 1 |

Cliaptei | 8 |

B Basic Statistical Procedures | 12 |

Copyright | |

81 other sections not shown

### Common terms and phrases

05 level alpha average calculated cell means Chapter confidence interval considered correlation coefficient corresponding critical value denominator dependent variable described difference scores divided effect size equal estimate example Exercise experiment experimental F ratio factor Figure Formula frequency distribution graph group means heart rate height hypothesis testing inches interaction larger linear look main effects matched t test measured median normal distribution null hypothesis null hypothesis distribution one-sample one-way ANOVA outliers participants Pearson's percentile perform placebo polygon pooled-variance population mean population variance prediction probability procedure proportion random sample randomly raw score regression line reject the null researcher sample means sample size sample sizes sample statistics sample variances sampling distribution Section skewed square root standard deviation standard error statistical significance subjects subtract Table tion trimmed two-group two-tailed test two-way ANOVA Type I errors unbiased vitamin zero