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What Is Statistics?
Probability and Discrete Probability Distributions
Useful Discrete Probability Distributions
8 other sections not shown
ANOVA table Appendix approximately normal area a/2 binomial random variable Calculate Central Limit Theorem Chapter coefficient COMPLETELY RANDOMIZED DESIGN computer printout confidence interval contingency table critical value curve degrees of freedom difference discrete random variables Empirical Rule evidence to indicate exercise expected cell counts F-distribution F-statistic factor formula frequency histogram given graph H0 is rejected Hence HINT hypothesis of interest interaction Intervals constructed LARGE SAMPLE least squares line lower control limits lower hinge margin of error measurements median Minitab normal distribution null hypothesis number of successes observed value p-value P(AB parameter population mean prediction equation probability distribution proportion Quantitative variables rejection region sample mean sample sizes sampling distribution shown in Figure simple events slope Source df SS standard deviation standard normal statistic is F tail area Tchebysheff s Theorem test statistic Total SS treatment means upper tail z-score