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Communication companies suggest that 85% of all emails are considered spam. You install a spam filter, and over the course of one day you observe

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Communication companies suggest that 85% of all emails are considered spam. You install a spam filter, and over the course of one day you observe that you received 53 spam emails and 7 non-spam emails. Do you think such a sample would be representative of the population of all emails? Why or why not? b. Do you think each trial (each classification of an email as either spam or not spam) is independent? Why or why not? c. Compute the expected number of spam emails from such a sample d. Compute the standard deviation c. What is the probability of getting 53 or more spam emails from a random sample of this size! (Assume the proportion of 85% is accurate.)

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