The computer coordinator for the business school believes the amount of time a graduate student spends reading and writing e-mail each weekday is normally distributed with mean μ = 14 and standard deviation σ = 5. In order to examine this belief, the coordinator collected data one Wednesday, recording the amount of time in minutes each graduate student spent checking e-mail. Using a chi-square goodness-of-fi t test on these data, what would you conclude about the distribution of e-mail times? (Use a 0.05 significance level and clearly state your hypotheses.) (Hint: Use five equally probable intervals.)
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