I need help on question 26 p: Proportion of successesHo p = 0.25HA: P > 0.25Proportion Count Total Sample Prop.290 1000p7. Cell Phone Ownership A Pew Research Center poll of 2076 randomly selected adultsshowed that 91% of them own cell phones. The following Minitab display results from a test ofthe claim that 92% of adults own cell phones.MinitabStd. Err. Z-Stat P-value0.29 0.013693064 2.921187 0.0017Test of p = 0.92 vs p = 0.9295% CISample X N Sample pZ-Value P-Value1 1889 2076 0.909923 (0.897608, 0.922238) -1.69 0.0918. Biometric Security In a USA Today survey of 510 people, 53% said that we should replacepasswords with biometric security, such as fingerprints. The accompanying Statdisk displayresults from a test of the claim that half of us say that we should replace passwords with bio-metric security.CalendarTesting Claims About Proportions. In Exercises 9-32, test the given claim. Identify thenull hypothesis, alternative hypothesis, test statistic, P-value, or critical value(s), then statethe conclusion about the null hypothesis, as well as the final conclusion that addresses theoriginal claim. Use the P-value method unless your instructor specifies otherwise. Use thenormal distribution as an approximation to the binomial distribution, as described in Part 1of this section.9. Mickey D's In a study of the accuracy of fast food drive-through orders, McDonald's had 33orders that were not accurate among 362 orders observed (based on data from QSR magazine).Use a 0.05 significance level to test the claim that the rate of inaccurate orders is equal to 10%.Does the accuracy rate appear to be acceptable?10. Eliquis The drug Eliquis (apixaban) is used to help prevent blood clots in certain patients.In clinical trials, among 5924 patients treated with Eliquis, 153 developed the adverse reactionof nausea (based on data from Bristol-Myers Squibb Co.). Use a 0.05 significance level to testthe claim that 3% of Eliquis users develop nausea. Does nausea appear to be a problematicadverse reaction?To DoNotificationsM InboxStSTOECP 26. Testing Effectiveness of Nicotine Patches In one study of smokers who tried to quitsmoking with nicotine patch therapy, 39 were smoking one year after the treatment and 32were not smoking one year after the treatment (based on data from "High-Dose Nicotine PatchTherapy," by Dale et al., Journal of the American Medical Association, Vol. 274, No. 17). Use a0.05 significance level to test the claim that among smokers who try to quit with nicotine patchtherapy, the majority are smoking one year after the treatment. Do these results suggest that thenicotine patch therapy is not effective?

To test the claim that the majority of smokers who try to quit with nicotine patch therapy are still…

Answered: > 26. Testing Effectiveness of Nicotine…

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter8: Sequences, Series, And Probability

Section8.7: Probability

Problem 58E: What is meant by the sample space of an experiment?

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What is meant by the sample space of an experiment?
What is an experiment?
In a study, 28 adults with mild periodontal disease are assessed before and 6 months after implementation of a dental-education program intended to promote better oral hygiene. After 6 months, periodontal status improved in 15 patients, declined in 8, and remained the same in 5. 9.1 Assess the impact of the program statistically (use a two-sided test). Suppose patients are graded on the degree of change in periodontal status on a 7-point scale, with +3 indicating the greatest improvement, 0 indicating no change, and −3 indicating the greatest decline. The data are given in Table 9.9. 9.2 What nonparametric test can be used to determine whether a significant change in periodontal status has occurred over time? 9.3 Implement the procedure in Problem 9.2 and report a p-value.
In a study, 28 adults with mild periodontal disease are assessed before and 6 months after implementation of a dental-education program intended to promote better oral hygiene. After 6 months, periodontal status improved in15 patients, declined in 8, and remained the same in 5. A) Assess the impact of the program statistically (use a two-sided test). Suppose patients are graded on the degree of change in periodontal status on a 7-point scale, with +3 indicating the greatest improvement, 0 indicating no change, and −3 indicating the greatest decline. The data are given in Table 9.9.
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. Describe a type 1 error for this test.
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 among smokers who try to quit with nicotine patch therapy, the majority are smoking a year after the treatment.
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 is the value of the sample score for the standard production?
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).
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 is the P-value?
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.
Does St. John wort (an herb) have a siginifact effect in treating major depression? A study looked at 340 adult outpatients suffering as measured by their HAM-Dscore, randomly assiging each subject to either a placebo, St.John's wort, or a second active treatment for comparison. The study found the diiference in treating major depression as measured by improvement in HAM-D scores between St.John's wort and the placebo was not statistically significant This means that: A. a difference this big could easily occur just by chance even if St. John's wort does not better than the placebo B. We cannot make a 95 percent confidence statement C.The placebo makes no difference in the subjects' depression D. The study was badly designed
What source of variation is found in an ANOVA summary table for a within subjects design that is not in an ANOVA summary table for a between subjects design. What happens to this source of variation in a between-subjects design?

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