8. When you get a surprisingly low price on a product do you assume that you got a really good deal or that you bought a low-quality product? Research indicates that you are more likely to associate low price and low quality if someone else makes the purchase rather than yourself (Yan & Sengupta, 2011). In a similar study, n = 16 participants were asked to rate the quality of low-priced items under two scenarios: purchased by a
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- A poll asked 946 adults "If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade? The results indicated that 8% of the males and 17% of the females answered window tinting. The poll description did not state the sample sizes of males and females. Suppose that both sample sizes were 473 and that 40 of 473 males and 80 of 473 females reported window tinting as their preferred luxury upgrade of choice. a. Is there evidence of a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade at the 0.01 level of significance? Let group 1 be the males, and let group 2 be the females. State the null and alternative hypotheses. Choose the correct answer below. A. H0: π1≥π2 H1: π1<π2 B. H0: π1≤π2 H1: π1>π2 C. H0: π1<π2 H1: π1≥π2 D. H0: π1=π2 H1: π1≠π2 E. H0: π1≠π2 H1: π1=π2 F. H0: π1>π2…Do well-rounded people get fewer colds? A study on the Chronicle of Higher Education was conducted by scientist at Carnegie Mellon University, the University of Pittsburgh and the University of Virginia. They found that people who have only a few social outlets get more colds than those who are involved in a variety of social activities. Suppose that of the 276 healthy men and women tested, n1=96 had only a few social outlets and n2=105 were busy with six or more activities. When these people were exposed to a cold virus, the following results were observed: Construct a 99% confidence interval for the difference in the two population proportions.A poll asked 946 adults "If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade? The results indicated that 8% of the males and 17% of the females answered window tinting. The poll description did not state the sample sizes of males and females. Suppose that both sample sizes were 473 and that 40 of 473 males and 80 of 473 females reported window tinting as their preferred luxury upgrade of choice. b. Find the p-value in (a) and interpret its meaning. The p-value is _______ (Round to three decimal places as needed.) Interpret the p-value. The p-value is the probability that in a random sample of 946 adults, the difference between the proportions of males and females who said they prefer window tinting as a luxury upgrade will be _________the difference in this sample, assuming that the proportion of males who said they prefer window tinting as a luxury upgrade is ________the proportion for females…
- A cigarette-manufacturing firm distributes two brands of cigarettes. If it is found that 56 of 200 smokers prefer brand A and 29 of 150 smokers prefer brand B, can we conclude at the .05 level of significance that brand A outsells brand B?According to the February 2008 Federal Trade Commission report on consumerfraud and identity theft, 23% of all complaints in 2007 were for identity theft. Inthat year, Arkansas had 1,601 complaints of identity theft out of 3,482 consumercomplaints ("Consumer fraud and," 2008). Does this data provide enoughevidence to show that Arkansas had a higher proportion of identity theft than23%? Test at the 5% level.In a survey of families in which both parents work, one of the questions asked was, "Have you refused a job, promotion, or transfer because it would mean less time with your family?" A total of 200 men and 200 women were asked this question. "Yes" was the response given by 27% of the men and 22% of the women. Based on this survey, can we conclude that there is a difference in the proportion of men and women responding "yes" at the 0.05 level of significance? (Use Men − Women.) (a) Find z. (Round your answer to two decimal places.)Find the p-value. (Round your answer to four decimal places.)(b) State the appropriate conclusion. Fail to reject the null hypothesis. There is not significant evidence that the proportions differ.Reject the null hypothesis. There is significant evidence that the proportions differ. Fail to reject the null hypothesis. There is significant evidence that the proportions differ.Reject the null hypothesis. There is not significant evidence that the proportions…
- In a survey of families in which both parents work, one of the questions asked was, "Have you refused a job, promotion, or transfer because it would mean less time with your family?" A total of 200 men and 200 women were asked this question. "Yes" was the response given by 26% of the men and 23% of the women. Based on this survey, can we conclude that there is a difference in the proportion of men and women responding "yes" at the 0.05 level of significance? (Use Men − Women.) (a) Find z. (Round your answer to two decimal places.)Find the p-value. (Round your answer to four decimal places.)(b) State the appropriate conclusion. Fail to reject the null hypothesis. There is significant evidence that the proportions differ.Fail to reject the null hypothesis. There is not significant evidence that the proportions differ. Reject the null hypothesis. There is significant evidence that the proportions differ.Reject the null hypothesis. There is not significant evidence that the proportions…A sociologist wants to investigate the question, "Is there a relationship between texting during class and grade-point-average (GPA) among high school seniors in a large district?" Which study design is most appropriate? Before the semester starts, randomly select 40 seniors from each high school who do not text during class. Assign 20 to the texting treatment group (text three or more times during every class meeting) and 20 to the control group (no texting during class). At the end of the semester, obtain each student’s GPA from the appropriate admissions and records office. Compare the GPA of students who routinely text during class to the GPA of students who do not text during class. Before the semester starts, randomly select 40 seniors from each high school who do not text during class. Assign 20 to the texting treatment group (text three or more times during every class meeting) and 20 to the control group (no texting during class). At the end of the semester,…