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able analysis of variance Assume Bayes's theorem binomial distribution Brand Central Limit Theorem Chapter class limit CM CM CM column compute the mean compute the standard confidence interval estimate construct correlation coefficient critical value cumulative frequency decision degrees of freedom dependent equal equation event example Exercise 17 expected profit expected value explain frequency distribution Given the following hypothesis test income independent variable index number interpret the meaning involved linear measure of central median method moving average multiple regression normal curve normal distribution null H0 null hypothesis number of degrees OBJECTIVES—SECTION occur opportunity loss possible posterior probabilities price index probability profit problem random sample raw data regression coefficients regression line representing risk level sample mean SECTION squares standard deviation standard error Step step-by-step substituting into Eq Table test the hypothesis tion tosses trend line true average Type II error variation z-value