Statistical Reasoning in the Behavioral SciencesSubstantially revised and updated, the new Fifth Edition reflects the changes that have occurred in the field of psychological statistics over the past decade. This revision focuses on conceptual growth. It helps readers develop an understanding of statistical logic and procedures, the properties of statistical devices, the importance of the assumptions underlying statistical tools, and what happens when the strict requirements of statistical theory meet the circumstances of real-world data. |
Common terms and phrases
alternative hypothesis ANOVA assumption calculate cell chance chapter class interval coin column compute confidence interval correlation coefficient degrees of freedom deviation scores difference effect effect size equal estimated standard error exam example expected factor Figure formula frequency distribution graph groups independent infinite number level of significance mathematics measure median normal curve normally distributed null hypothesis observations obtained p-value pairs of scores Pearson's population means population of scores prediction probability problem proportion random sampling distribution raw scores raw-score Region of rejection regression equation regression line reject the null relationship Relative frequency sample means sampling distribution SAT total scatter diagram Section SStotal standard deviation standard error subjects sum of squares Suppose symbol Table tails tion toss two-tailed test Type I error variable variance variation z scores zero μχ σχ