Essentials of Statistics for the Behavioral ScienceThis brief version of Gravetter and Wallnau's proven bestseller offers the straightforward instruction, accuracy, builtin learning aids, and wealth of realworld 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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Review: Essentials of Statistics for the Behavioral Sciences
User Review  Jennifer  GoodreadsEven if you've completely forgotten high school math like me, this textbook will catch you up in no time. It really broke statistics down into logical steps with (what I really appreciated) explanations as well as examples. Read full review
Review: Essentials of Statistics for the Behavioral Science
User Review  Colleen  GoodreadsI haven't read any other statistics books, and after this I don't think I will. It made no sense at the end it just seemed like they were mixing words and equations. 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 chisquare 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 Fratio 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 twofactor twotailed test Type I error unit normal table variability zscore zero