Basic Statistical Analysis
The material in this user-friendly text is presented as simply as possible to ensure that students will gain a solid understanding of statistical procedures and analysis. The goal of this book is to demystify and present statistics in a clear, cohesive manner. 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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Introduction to Statistics
Graphs and Measures of Central Tendency
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alpha level analysis ANOVA Appendix Table assumed average basis calculated called chance Chapter Click coefficient column compared confidence interval control group correlation Croup 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 Mann-Whitney median method negative nominal data normal curve normal distribution null hypothesis obtained ordinal data paired parameter percentage percentile persons platykurtic population mean post-facto research predict probability problem random sample range rank raw score Reject H0 reject the null reliability sample groups sample means SAT scores scatter plot significant difference skewed SPSS standard deviation standard error statistical test statistician sum of squares table value technique Test the hypothesis tion validity variance within-subjects zero