## Applied Statistics for the Behavioral Sciences, Volume 663Written for students studying in a variety of social science areas, not solely for the psychology student, Applied Statistics is designed to give each student a conceptual understanding of the basic statistical procedures used in behavioural sciences, as well as the computational skills to carry them out. Assuming only a basic knowledge of mathematics and algebra, Hinkle uses a clear presentation, accessible language, and step-by-step examples to help students develop a solid understanding of statistics. Highlights of this fifth edition: * New! Additional SPSS Coverage - SPSS computer printouts and interpreting the results of sample exercises are included throughout the text * New! Coverage of SPSS on the Web - includes the logical processes for various SPSS procedures * Updated and Expanded Coverage - effect size has been expanded in Chapter 13- Determining Power and Sample Size * Applied Research Scenarios: Psychology, education, sociology, political science, and marketing scenarios are used in chapter exercises * Student-Centred Pedagogy - each chapter includes an opening list of key concepts, and highlighted key statements throughout |

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### Contents

Introduction | 1 |

Organizing and Graphing Data | 17 |

Graphing Data | 26 |

Copyright | |

59 other sections not shown

### Common terms and phrases

alternative hypothesis assumption box plot Chapter class interval column Compute the Test confidence interval consider correlation coefficient covariate criterion for rejecting critical value defined degrees of freedom determine difference discussed distribution of scores effect equal estimate example exceeds the critical F distribution F ratio Figure final examination scores found in Table frequency distribution high school hypothesis testing hypothesized value illustrated independent variable inferential statistics level of significance linear MATHACH mathematics measure multiple normal distribution null hypothesis H0 one-tailed test parameter Pearson percent percentile rank population mean predictor variables procedures proportion psychology random sample raw score region of rejection reject H0 reject the null relationship researcher sample mean sample statistic sampling distribution SAT scores scale scatterplot Set the criterion SPSS standard deviation standard error standard score statistically significant Step sum of squares Suppose test statistic testing the null tion two-tailed test Type I error underlying distribution variation