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Effect of Blinding Among 13,200 submitted abstracts that were blindly evaluated (with authors and institutions not identified), 26.7% were accepted for publication. Among 13,433 abstracts that were not blindly evaluated, 29.0% were accepted (based on data from “Effect of Blinded Peer Review on Abstract Acceptance,” by Ross, et al., Journal of the American Medical Association, Vol. 295, No. 14). Use a 0.01 significance level to test the claim that the acceptance rate is the same with or without blinding. How might the results be explained?
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- What is meant by the sample space of an experiment?arrow_forwardWhat is an experiment?arrow_forwardSmoking Stopped In a program designed to help patients stop smoking, 198 patients were given sustained care, and 82.8% of them were no longer smoking after one month (based on data from “Sustained Care Intervention and Postdischarge Smoking Cessation Among Hospitalized Adults,” by Rigotti et al., Journal of the American Medical Association, Vol. 312, No. 7). Use a 0.01 significance level to test the claim that 80% of patients stop smoking when given sustained care. Does sustained care appear to be effective?arrow_forward
- Please help with D E and F and Garrow_forwardThe Survey of Study Habits and Attitudes (SSHA) is a psychological test designed to measure various academic behaviors (motivation, study habits, attitudes, etc…) of college students. Scores on the SSHA range from 0 to 200. The data for random samples 18 women (*the outlier from the original data set was removed) and 27 men yielded the following summary statistics.Is there a difference in SSHA performance based upon gender? Conduct the appropriate hypothesis test in including stating the relevant hypothesis, test statistic, p-value, and conclusion. Then, construct and interpret a 90% confidence interval for the mean differencearrow_forwardWhich of these sounds like a situation where you would want to use an Independent-Measures ANOVA? A) Comparing the health of students at a campus with a Student Health Center vs. students at a campus without a Student Health Center B) Comparing the technological ability of a group of children when they are 10 years old vs. when they reach 15 years old vs. when they reach 20 years old C) Comparing the pain levels of people with an anti-arthritis drug vs. the pain levels of the general population of all arthritis patients D) Comparing the technological ability of three groups: people born in the years 2000, 2005 and 2010arrow_forward
- d. What is the P-value? e. What do you conclude? (Be sure to address the original claim that among smokers who try to quit with nicotine patch therapy, the majority are smoking a year after the treatment.) f. Describe a type I error for this test. g. Describe a type II error for this test.arrow_forwardConsider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 5890 patients treated with this drug, 154 developed the adverse reaction of nausea. Use a 0.10 Significance level to test the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction?arrow_forwardPreventable chronic diseases are increasing rapidly in Native American populations, particularly diabetes. F. Gilliland et al. examined the diabetes issue in the paper ”Preventative Health Care among Rural American Indiansin New Mexico”. Following is a contingency table showing cross-classification of educational attainment and diabetic state for a sample of 1273 Native Americans (HS is high school). At the 1% significance level, do the data provide sufficient evidence to conclude that an association exists between educational level and diabetic state for Native Americans?arrow_forward
- In a study of 420,091 cell phone users, 111 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.001 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution. Which of the following is the hypothesis test to be conducted?arrow_forwardOxyContin The drug OxyContin (oxycodone) is used to treat pain, but it is dangerous because it is addictive and can be lethal. In clinical trials, 227 subjects were treated with OxyContin and 52 of them developed nausea (based on data from Purdue Pharma L.P.). Use a 0.05 significance level to test the claim that more than 20% of OxyContin users develop nausea. Does the rate of nausea appear to be too high?arrow_forwardIn a study of 420,098 cell phone users, 121 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.001 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution.arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillCollege Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage Learning