.CO7Sכ-OH?YΣVH10.1 Inference for Categorical Data: Comparing Two ProportionsTreating Lower Back Pain Patients with lower back pain are often given nonsteroidalanti-inflammatory drugs (NSAIDs) like naproxen to help ease their pain. Researchers wondered iftaking Valium along with the naproxen would affect pain relief. To find out, they recruited 112patients with severe lower back pain and randomly assigned them to one of two treatments:naproxen and Valium or naproxen and placebo. After 1 week, 39 of the 57 subjects who tooknaproxen and Valium reported reduced lower back pain, compared with 43 of the 55 subjects in thenaproxen and placebo group.Construct and interpret a 99% confidence interval for the difference inthe proportion of patients like these who would report reduced lower back pain after takingnaproxen and Valium versus after taking naproxen and placebo for a week.Two-sample Z-interval for a difference between two proportionsSTATE the parameter and confidencelevel.PLAN the inference method and checkconditions.2 sample2 interval for P₁ - Pz99% CI for P, -P₂P₁: true proportion of patients like ✓Random assignment to treatmentsthese who would reportreduced lower back pain aftertahing naproxen and Valium for aweek√10%Pz: true proportion of patients likethese who would report reduced.lower back pain after taking /Large Counts Conditionnaproxen placebo for aWeek57-39-1855-43=12DO all necessary visuals andcalculations.CONCLUDE with an interpretation of theconfidence interval in context.We are 99% confident that the interval-0.312 to 0.116 captures P, -P₂ the diffin the true proportions of patients like twould report reduced pain after takhaproven and valium versus afternaproxen and a placebo for a wech

In this problem, we are required to find the 99% confidence interval for the difference in the…

Answered: H 10.1 Inference for Categorical Data:…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
You’re interested in knowing if a walking plus strength training exercise program results in a significantly greater increase in maxVo2 as compared to a walking only or a strength training only exercise program. Participants are randomly selected and then randomly assigned to one of three groups— walking plus strength training, walking only, or strength training only. After 6-months of exercise the participants are assessed. Which statistical analyses was used?
Using the latest in medical technology, an orthopedic doctor has developed a new surgical procedure that he believes is an improvement over the standard procedure. He wants to study whether the mean recovery time of patients who have the new procedure is less than the mean recovery time of patients who have the standard procedure. The doctor studies a random sample of 11 patients who have the new procedure and a random sample of 9 patients who have the standard procedure. (These samples are chosen independently.) The doctor records each patient's recovery time (in days). The patients who had the new procedure have a sample mean recovery time of 367.3 with a sample variance of 2851.8. The patients who had the standard procedure have a sample mean recovery time of 420.9 with a sample variance of 98.1. Assume that the two populations of recovery times are approximately normally distributed. Can the doctor conclude, at the 0.01 level of significance, that the population mean of the…
. A researcher suspects that the actual prevalence of generalized anxiety among children and adolescents is higher than the previously reported prevalence of generalized anxiety disorder among children and adolescents. The previously reported prevalence of generalized anxiety disorder among children and adolescents is 4.1%, and the researcher conducts a study to test the accuracy of the previously reported prevalence of generalized anxiety disorder by recruiting 98 children and adolescents from various pediatricians’ offices and tests them for generalized anxiety disorder using the DSM-5. The researcher determines that the prevalence of generalized anxiety disorder among the participants of the study is 6.8%. The researcher’s hypothesis, for a level of significance of 5%, should resemble which of the following sets of hypothesis? A) H0: p > .041; H1: p = .041; alpha= .05 B) H0: p > .041; H1: p = .041; alpha= .95 C) H0: p = .041; H1: p > .041; alpha= .05 D) H0: p = .041; H1: p…
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
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A team of epidemiologists at the Mayo Clinic wanted to find whether there is an association between obesity and cardiovascular disease (CVD). They conducted a prospective cohort study following obese and non-obese individuals who were free of CVD at the beginning of study for five years. The investigators were also interested in assessing age as a potential confounder, effect modifier, or both. Use the data below to answer the accompanying questions. CVD No CVD Total Obese 10 90 100 Not Obese 35 465 500 Total 45 555 600 CVD No CVD Total Obese 36 164 200 Not Obese 25 175 200 Total 61 339 400 1. Compute the appropriate measure of association for those who were less than age 50. 2. Compute the appropriate measure of association for those who were older or equal to age 50. 3. Compute the crude measure of association? 4. List three attributes that age must satisfy before it could…

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