Basic Statistical Analysis
This user-friendly, readable revision is presented as simply as possible to ensure that students will gain a solid understanding of statistical procedures. The goal of this book is to demystify statistics. The student is presented with rules of evidence and the logic behind those rules. The book is divided into three major units: Descriptive Statistics, Inferential Statistics, and Advanced Topics in Inferential Statistics.
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Graphs and Measures of Central Tendency
The Normal Curve and z Scores
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a z score Accept HQ analysis ANOVA Appendix Table assigned assumed basis calculated called chance Chapter coefficient column compared confidence interval control group correlation degrees of freedom effect effect size 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 median method negative nominal data normal curve normal distribution null hypothesis number of scores obtained ordinal data paired parameter percentage percentile persons platykurtic population mean post-facto research predict previously saved data probability problem random sample range ranks raw score Reject HQ reject the null reliability sample groups sample means save these data scatter plot skewed standard deviation standard error statistical test statistician sum of squares table value technique Test the hypothesis tion validity variance within-subjects zero