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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_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_forward
- Trials in an experiment with a polygraph include 98 results that include 24 cases of wrong results and 74 cases of correct results (based on data from experiments conducted by researchers Charles Honts of BSU and Gordon H. Barland of the Department of Defense Polygraph Institute). Use a 0.05 significance level to test the claim that such polygraph results are correct less than 80% of the time.arrow_forwardWhat is the best correlational test to use in SPSS for a research sample size of 39?arrow_forwardSuppose 219 subjects are treated with a drug that is used to treat pain and 55 of them developed nausea. Use a 0.10 significance level to test the claim that more than 20% of users develop nausea.arrow_forward
- Which 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_forwardConsider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 6107 patients treated with this drug, 158 developed the adverse reaction of nausea. Use a 0.05 significance level to test the claim that 3% of users develop nausea. Does nausea appear to be a problematic reaction?arrow_forwardConsider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 6130 patients treated with this drug, 160 developed the adverse reaction of nausea. Use a 0.10 significance level to test the claim that 33% of users develop nausea. Does nausea appear to be a problematic adverse reaction?arrow_forward
- In a study of smokers who tried to quit smoking with nicotine patch therapy, 39 were smoking one year after the treatment, and 32 were not smoking one year after the treatment (based on data from “High Dose Nicotine Patch Therapy,” by Dale et al., Journal of the American Medical Association, Vol. 274, No. 17). We want to use a 0.05 significance level to test the claim that among smokers who try to quit with nicotine patch therapy, the majority are smoking a year after the treatment. What do you conclude? (Be sure to address the original claim that the mean weight is 5.670 grams).arrow_forwardIn a study of smokers who tried to quit smoking with nicotine patch therapy, 39 were smoking one year after the treatment, and 32 were not smoking one year after the treatment (based on data from “High Dose Nicotine Patch Therapy,” by Dale et al., Journal of the American Medical Association, Vol. 274, No. 17). We want to use a 0.05 significance level to test the claim that among smokers who try to quit with nicotine patch therapy, the majority are smoking a year after the treatment. Describe a type I error for this test.arrow_forwardd. 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_forward
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