## Applied statistics |

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95 percent confidence alternatives analysis ANOVA approximately basic outcomes Bayes binomial bivariate box plot Calculate Chapter column conclusion confidence coefficient confidence limits Construct control chart cumulative probability cyclical data set Datadisk file name decision rule degrees of freedom denote equal error terms example Transparency Master expected payoff expected value Explain exponential smoothing Figure finite population forecast frequency distribution graph Hence independent variables Interpret the confidence linear regression measure median MINITAB moving average MYSTAT normal distribution Obtain one-sided output P-value parameter percent confidence interval percentile point estimate Poisson population mean population proportion prediction interval probability distribution Problem procedure random variable Refer regression function regression model rejection probability residuals risk sample mean sample observations sample space sampling distribution seasonal component selected shipment simple random sample squares SSTO standard deviation standard normal Table theorem trend two-sided variance weight