Statistics, 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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Describing Data with Graphs
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05 level a z score ANOVA assigned athletes blood doping blood-doping experiment Calculations Chapter column confidence interval correlation coefficient Decision Rule degrees of freedom dependent samples described difference between population difference scores dot cluster effect endurance scores equals example false H0 Figure frequency distribution freshmen graph H0 is false hypothesis test hypothesized sampling distribution improbable outcome indicates inferential statistics Interpretation IQ scores level of significance mean verbal score measurement median national average negative normal curve normally distributed null hypothesis one-tailed test original p-value pairs panel percentile rank Population distribution population standard deviation positive possible prediction interval prediction line probability proportion random numbers random sample reflects Reject H0 relationship relative frequency represents research hypothesis Retain H0 sample standard deviation scatterplot Specify standard error standard scores Statistical Hypotheses subjects Substitute numbers Table target score test result test the null type II error variability variance vitamin weight zero