A study of 822 patients involved testing whether or no aspirin was an effectivetreatment for blood clots. The following data reports on the number of patients whohad a major event while monitored over a number of years. Construct a 95%confidence interval for the difference in proportions of patients (Aspirin group -Placebo group) who had a major event.Aspirin groupPlacebo groupTotal(-0.092,-0.044)(-0.108,-0.028)(-0.116,-0.020)(-0.069,-0.067)In411411822Number with major event4573

Answered: Image /qna-images/answer/9f14515b-e78f-4fb3-9739-e840aabf6ce7.jpg

Answered: A study of 822 patients involved…

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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Listed below are student evaluation ratings of courses, where a rating of 5 is for "excellent." The ratings were obtained at one university in a state. Construct a confidence interval using a 95% confidence level. What does the confidence interval tell about the population of all college students in the state? 3.6, 3.0, 4.0, 4.6, 2.8, 4.4, 3.5, 4.4, 4.2, 4.1, 4.0, 3.6, 3.5, 4.0, 3.7 O ..... What is the confidence interval for the population mean µ? (Round to two decimal places as needed.)
A case-control study is conducted to assess the relationship between heavy alcohol use during the first trimester of pregnancy and miscarriage. Fifty women who suffered miscarriage are enrolled along with 50 who delivered full term. Each participant’s use of alcohol during pregnancy is ascertained. Heavy drinking is defined as 4 or more drinks on one occasion. The data are shown below. Miscarriage Delivered Full Term Heavy Alcohol Use 14 4 No Heavy Alcohol Use 36 46 a. Compute the odds of miscarriage in women with heavy alcohol use in pregnancy. b. Compute the odds of miscarriage in women with no heavy alcohol use in pregnancy. c. Compute is the odds ratio for miscarriage as a function of heavy alcohol use.
Glaucoma is the leading cause of blindness in the United States. N. Ehlers measured the corneal thickness of nine patients who had glaucoma in one eye but not in the other. The following are the data on corneal thickness, in microns. Normal 484 478 492 444 430 398 464 404 476 Glaucoma 488 478 480 426 440 410 458 395 460 Construct and interpret a 95% confidence interval for the true mean difference in the mean corneal thickness in normal eyes and eyes with glaucoma. Include a filled out formula for your confidence interval and use the steps for a test hypothesis.
A study is conducted to estimate the association between exposure to lead paint in childhood and attention-deficit hyperactivity disorder (ADHD). Data on n = 400 children are collected, and data on exposure and ADHD diagnosis are shown in Table 9–26. Estimate the crude or unadjusted relative risk. Estimate the crude or unadjusted odds ratio.
An issue of Time Style and Design reported on a poll conducted by Schulman Ronca &Bucuvalas Public Affairs about the shopping habits of wealthy Americans.A total of 603 interviews were conducted among a national sample of adults with householdincomes of at least $150,000. Of the adults interviewed, 410 said they had purchased clothing,accessories, or books online in the past year.a. Find a 95% confidence interval for the proportion of all U.S. adults with householdincomes of at least $150,000 who purchased clothing, accessories, or books online inthe past year.b. Interpret the confidence interval.
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.
In a study of risk factors for invasive cervical cancer that was conducted in Germany, the following data were collected relating smoking status to the presence or absence of cervical cancer. Smoker Non-smoker Total Cancer 109 117 226 No cancer 168 278 446 Total 277 395 672 (a) Estimate the relative odds of invasive cervical cancer for smokers versus non-smokers. (b) Calculate a 95% confidence interval for the population odds ratio. (c) Test the null hypothesis that there is no association between smoking status and the presence of cervical cancer at the 0.05 level of significance.
From the same cohort, all cases and 10 controls per case were chosen for analysis. The following results were observed. Serum Level of Vitamin D Incident Cases of MS Healthy Individuals Above 40 ng per ml 40 20-40 ng per ml 4 40 Below 20 ng per ml 4 20 What is the odds ratio for individuals with serum levels of vitamin D of 20-40 ng per ml? O 4.0 О 30 O 1.0 O 2.0 2.
Listed below are student evaluation ratings of courses, where a rating of 5 is for "excellent." The ratings were obtained at one university in a state. Construct a confidence interval using a 90% confidence level. What does the confidence interval tell about the population of all college students in the state? 4.0, 3.1, 4.0, 4.8, 3.1, 3.9, 3.6, 4.9, 4.2, 4.1, 4.4, 3.6, 3.2, 4.1, 3.7 O What is the confidence interval for the population mean p? <µ< (Round to two decimal places as needed.)
The dataset "nurses" is a random sample of 1,000 cases from “Health Care Provider Credential Data” from Washington State Open Data Portal. In the sample, there are 418 CNA's and 278 of the CNA's have expired credentials. Use the statistics from the nurses dataset to answer the following question: "With 90% confidence, what percent of all CNA's on Washington State's healthcare provider list are expired?"
Six students were given a memory recall test on an empty stomach, then again after eating a 500-calorie meal. Estimate the mean difference in memory recall scores between the two groups using 95% confidence. Empty Stomach 57 68 82 94 85 100 After Eating 68 75 91 90 85 100

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