StatisticsStatistics, Sixth Edition explains, in plain English, the basic concepts and procedures of Statistical analysis and makes a special effort to clarify such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values and estimates of effect size. |
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05 level a z score ANOVA Appendix approximate assigned blood doping Calculations cards Chapter class intervals column computational confidence interval correlation coefficient crowd cumulative Decision Rule degrees of freedom dependent samples described difference between population difference scores effect endurance scores equals example Exercise expected frequencies F ratio F test false Figure frequency distribution freshmen given df graph H₁ hypothesis is true hypothesis test hypothesized sampling distribution inches indicates inferential statistics interaction Interpretation IQ scores level of significance median negative normal curve null hypothesis original p-value pairs panel percentile rank Population distribution population mean positive possible prediction interval probability proportion qualitative data random numbers random sample reflects Reject relationship relative frequency represents Retain sample mean scatterplot score formula standard error standard scores Statistical Hypotheses subjects Substitute numbers Table tail critical test result test the null type II error variance vitamin weight X₁ zero