Basic Statistical Analysis
Providing an introduction to applied statistics, this work covers areas including psychology, education, criminal justice and health sciences, with problems on such topics as teacher salaries, drug sales, sports scores, special education, brain differences, hormonal inputs, dogmatism and anxiety, and the use of illegal substances as a function of shyness.
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Introduction to Statistics
Graphs and Measures of Central Tendency
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a z score Accept H0 alpha error analysis ANOVA Appendix Table assigned assumed average basis calculated chance Chapter coefficient column compared confidence interval control group correlation Croup degrees of freedom effect equal equation error of difference estimated standard error example F ratio factorial ANOVA frequency given height hypothesis of difference increase independent variable inferential statistics interval data manipulated median negative nominal data normal curve normal distribution null hypothesis number of scores obtained one-tail ordinal data paired parameter percentage percentile persons platykurtic population mean post facto research predict probability problems random sample range rank raw score Reject H0 reject the null reliability represent sample groups sample means sampling distribution scatter plot significant skewed standard deviation standard error stanine statistical test statisticians sum of squares table value technique Test the hypothesis tion validity variance within-subjects zero