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- 9.40) A large firm made up of several companies has instituted a new quality-control inspection policy. Among 30 artisans sampled in Company A, only 5 objected to the new policy. Among 35 artisans sampled in Company B, 10 objected to the policy. Estimate the true difference between the proportions voicing objection to the new policy for the two companies, with a confidence coefficient of 0.98.In a large clinical trial,393,850 children were randomly assigned to two groups. The treatment group consisted of 198,023 children given a vaccine for a certain disease, and 37 of those children developed the disease. The other 195,827 children were given a placebo, and 144 of those children developed the disease. Consider the vaccine treatment group to be the first sample. If a 0.01 significance level is to be used to test the claim that p1<p2, what confidence level should be used?In a large clinical trial, 399,974 children were randomly assigned to two groups. The treatment group consisted of 198,585 children given a vaccine for a certain disease, and 31 of those children developed the disease. The other 201,389 children were given a placebo, and 119 of those children developed the disease. Consider the vaccine treatment group to be the first sample. If a 0.05 significance level is to be used to test the claim that p1<p2what confidence level should be used?
- In a large clinical trial, 391,847 children were randomly assigned to two groups. The treatment group consisted of 194,085 children given a vaccine for a certain disease, and 31 of those children developed the disease. The other 197,762 children were given a placebo, and 99 of those children developed the disease. Consider the vaccine treatment group to be the first sample. If a 0.10 significance level is to be used to test the claim that p1 < p2 what confidence level should be used?Determine the best test and conduct the six steps of hypothesis testing for each, 95% Confidence Interval, and appropriate measure of effect size. Assume P level of .05. "Are Women Really More Talkative Than Men?" is the title of an article that appeared in the journal Science. In this article, Mehl, Vazire, Ramirez-Esparza, Slatcher, and Pennebaker (2007) report the results of a study of 396 men and women. Each participant wore a microphone that recorded every word he or she uttered. The researchers counted the number of words uttered by men and women and compared them. The data below are fictional, but they re-create the pattern that Mehl and colleagues observed: Men: 16,345, 17,222, 15,646, 14,889, 16,701 Women: 17,345, 15,593, 16,624, 16,696, 14,200A college administrator is interested in determining the proportion of students who receive some sort of financial aid. Instead of examining the records for all students, the administrator randomly draws 120 students and finds that 48 of them are receiving financial aid. Use a 90% confidence interval to estimate the true proportion of students who receive financial aid.
- 2. if both XA and XB data come from a sample that is given two different treatments,then display the data in the form of paired data and perform a two-average difference test fordependent sample at 95% confidence levelA research report on a prospective study states that: “A comparison of the 90 normal patients with the 50 patients with hypotension shows that only 3.33% of the former group died as compared to 30% of the latter.” (a) Put these data into a 2x2 contingency table and calculate the sample risk difference, construct a 95% confidence interval and provide an interpretation. (b) Calculate sample relative risk, construct 95% confidence interval, and provide interpretation.The report “Parents, Teens and Digital Monitoring” (Pew Research Center, January 7, 2016,pewinternet.org/2016/01/07/parents-teens-and-digital-monitoring, retrieved April 4, 2018)reported that 61% of parents of teens age 13 to 17 said that they had checked which websitestheir teens had visited. The 61% figure was based on a representative sample of 1060 parents ofteens in this age group. Construct and interpret a 90% confidence interval for the proportion ofall parents of teens age 13 to 17 who have checked which web sites their teens visit.