## Fundamentals of behavioral statisticsA proven performer designed for today's psychology students, "Fundamentals of Behavioral Statistics" combines current thinking with a clear presentation designed to foster complete student understanding. A classic text that features a modern, student-oriented approach to studying behavioral statistics with an emphasis on accessibility and comprehensiveness, it is built on four tenants of success: a strong mathematical foundation, clear and interesting examples, rich illustrations and abundant exercises. The revision will continue to place great emphasis on introducing students to exploratory data analytic techniques by replacing outdated techniques with the latest, most up to date methods. Real life examples, used to present the most current approaches to teaching statistics, will be revised to incorporate results from popular and familiar experiments. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Related books

Introduction to classical and modern test theory Linda M. Crocker,James Algina No preview available - 1986 |

### Contents

The Definition | 6 |

in Statistics 6 1 3 Descriptive Statistics 9 1 4 Inferential | 17 |

2 3 Summation Rules 24 2 4 Types of numbers | 23 |

Copyright | |

25 other sections not shown

### Other editions - View all

### Common terms and phrases

alternative hypothesis analysis of variance average behavioral calculating central tendency Chapter coin correlated samples correlation coefficient corresponding critical region critical value cumulative frequency degrees of freedom determine difference between means draw drawn drug employed equal event example Exercise experimental female Figure formula frequency curve frequency distribution given greater illustrate inferential statistics interval level of significance males mathematical measure of central median normally distributed Note null hypothesis ordinally scaled outcomes pairs Pearson percentile rank population mean population parameter predicting probability of obtaining probability values problem procedures proportion of area random real limit referred regression line reject H0 reject the null relationship represent sample means sample statistics sampling distribution shows skewed standard deviation standard error Statistical Inference Step subjects subtract sum of squares Table tion two-tailed test type II error variance estimate variation within-group z-scores zero