## Introduction to Statistics in PsychologyIntroduction to Statistics in Psychology Statistics can be difficult, but this revised 3rd edition of Introduction to Statistics in Psychology makes it much easier. Any psychology student, whether at introductory, intermediate or advanced level will find the book a very useful companion to their statistics course. Introduction to Statistics in Psychology is written in a jargon free style, it is comprehensive and accessible, and laid out with great visual clarity. Complex mathematics are kept to a minimum and concepts that are often difficult to grasp are explained step-by-step, using a wide variety of examples. Introduction to Statistics in Psychology can be used alone or to complement the authors' Introduction to Research Methods in Psychology and Introduction to SPPS in Psychology also published by Prentice Hall. The revised 3rd edition: - Provides a comprehensive guide to understanding a wide range of statistics - Meets student needs at all stages of their course - Teaches how to choose appropriate statistical tests - Describes how to analyse data of all sorts - Provides models of how to report findings - Employs a flexible modular approach for effective study and reference - Requires only a simple understanding of mathematics for success - The best single resource for confidence intervals, statistical power, reliability, meta-analysis, log-linear and other advanced techniques Dennis Howitt and Duncan Cramer are both Readers in Psychology at LoughboroughUniversity |

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### Contents

Types of data | 3 |

Averages | 18 |

Shapes of distributions of scores | 29 |

Copyright | |

41 other sections not shown

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alcohol analysis of variance ANOVA average Calculation cell means Chapter chi-square Column mean confidence interval correlation matrix covariate degrees of freedom Dennis Howitt dependent variable distribution effect size effect sizes example expected frequencies experimental F-ratio factor analysis females Howitt and Duncan independent individual differences interaction interpretation involves iron supplement logistic regression main effects males marital love marital satisfaction mean square measure multiple comparisons multiple regression nominal category null hypothesis number of scores numerical scores obtained one-tailed one-way Overall mean pairs partial correlation Pearson correlation coefficient population mean possible predicted predictor variables probability psychological ranks regression line relationship remaining married Reporting the results Row mean sample means scattergram set of scores sexual significance level Significance Table simply sleep deprivation Spearman's rho standard deviation standard error statistically significant Step sum of squares two-tailed test two-way unrelated variance estimate variance summary table z-score zero