Spam is the price we pay for being able to easily communicate by e-mail. Does spam affect everyone equally? In a preliminary study, university professors, administrators, and students were randomly sampled. Each person was asked to count the number of spam messages received that day. The results follow. Can we infer at the 2.5% significance level that the differing university communities differ in the amount of spam they receive in theire-mails?
Answer to relevant QuestionsA management scientist believes that one way of judging whether a computer came equipped with enough memory is to determine the age of the computer. In a preliminary study, random samples of computer users were asked to ...In early 2001, the economy was slowing down and companies were laying off workers. A Gallup poll asked a random sample of workers how long it would be before they had significant financial hardships if they lost their jobs ...After determining in Exercise 13.155 that teenagers watch more movies than do 20 to 30 year olds, teenagers were further segmented into three age groups: 12 to 14, 15 to 16, and 17 to 19. Random samples were drawn from each ...Can we infer from the data that there are differences in the amount of television watched (TVHOURS)?Repeat the chapter-opening example using the data from the American National Election Survey of 2008. That is, test to determine whether annual incomes (INCOME) differ between the seven political views (LIBCON)? Use a 5% ...
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