It is claimed that fewer than 30% of Thunder Bay households have home delivery of the Chronicle-Journal. To test this claim, a random sample of 490 Thunder Bay households reveals that only 108 get the paper delivered. Using an alpha value of 0.01, what conclusion can be reached about the claim?
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- Use the following data to answer question 13 - 16. Breast cancer is one of the leading causes of death in women prior to age fifty. A study of the effectiveness of regular breast self-examination (BSE) reported in the American Journal of Public Health found that 23 of 53 women who discovered a tumor through BSE had a tumor in an early stage. Of 178 women who discovered a tumor by accident, 48 had a tumor in an early stage. Let P1 and P2 denote the proportion of women who detected early stage tumor through BSE and by accident, and let P1 and P2 denote the corresponding estimates.A warehouse manager wants to know if there is an association between the shift worked and being on time for work. To investigate, he selects a random sample of 70 workers and classifies each one according to the shift they worked most recently and whether they were on time for work. He was unable to classify a substantial number of people as being on time, so he classified those individuals as unknown. The data are displayed in the table. The manager would like to know if these data provide convincing evidence of an association between the shift worked and being on time in the large population of all workers at this warehouse. The random and 10% conditions are met. Is the Large Counts condition met? Yes, the smallest expected count is 5, so all expected counts are at least 5. Yes, the smallest expected count is 8.54, so all expected counts are at least 5. No, the smallest expected count is 2.56, so the expected counts are not all at least 5. No, the smallest expected count is…A coach believes that her volleyball team is more athletic than the average volleyball team in America. (Think of that as her research hypothesis.) We know that the average volleyball team in America has a score of 100 on the Standard Test for Athleticism (the STA; not to be confused with the SAT). The coach tests her 25 players and gets an average STA score for them of 109, with a standard deviation of 15. The coach sets her alpha level at .05. Given the results of her study, what decision should she make? Reject the null hypothesis, since she knows that her team plays so well. Reject the null hypothesis, since the mean is above 100 Reject the null hypothesis, since the inferential Z-score is greater than the critical value when alpha is at .05 Do not reject the null hypothesis; the results are likely due to chance factors.
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- A researcher randomly assigns college freshmen to either of two experimental conditions. Because both groups consist of college freshmen, someone claims that it is appropriate to use a t test for the two related samples. Comments?Your restaurant believes that the average bill for a party of four exceeds $100. To test this a random sample of 25 parties is selected. The average bill comes to $108 with a variance of $225. a. Set up hypotheses to see if the average bill exceeds $100. b. Report your result along with the p value or alpha (Type I error) level of your choosing. c. Offer your conclusions.To answer questions 19, please use the stats tables provided. Do not used a software. Q19: a. Death between those taking diuretic and those taking placebo? b. Stroke between those taking beta-blocker and those taking placebo?