Problem (6) A study used 1259 patients who had suffered a stroke. The study randomly assigned each subject to anaspirin treatment or a placebo treatment. During a 3-year follow-up period, in Sample 1, 634 peoplereceived placebo treatments and 25 people died from heart attack. In sample 2, 625 people receivedaspirin treatment and 18 died from heart attack. Let pl denote the population proportion of deathfrom heart attack for those with no treatment and p2 denote the population proportion of death fromheart attack for those with aspirin treatment.(e) If we instead let sample 1 refer to the aspirin treatment and sample 2 the placebo treatment,explain how the point estimate of the difference and the 95% confidence interval would change.Explain how then to interpret the confidence interval.(f) In general, does a conclusion from a two-tailed sample z-test for proportions (with the significancelevel = aNOT need to do a hypotheses testing)) agree with the 100(1-a) confidence interval for pi – P2 Why or why not? (You DO

There are two independent samples which are placebo and aspirin treatments. We have to construct 95%…

Answered: Problem (6) A study used 1259 patients…

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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A hypertension trial is mounted, and 12 participants are randomly assigned to receive either a new medication or a placebo. Each participant takes the assigned medication, and the participants’ SBP is recorded after 6 months on the assigned medication. The data are shown in Table 7–9. Is there a difference in mean SBP between treatments? Run the appropriate test at a = 0.05. Placebo New Medication 134 114 143 117 148 121 142 124 150 122 160 128
In a population-based cohort study, an entire community was interviewed regarding smoking habits and then followed for one year. Upon ascertainment of all lung cancer deaths, the investigator obtained the following data: Number of Individuals Lung Cancer Deaths Smokers 24,500 15 Nonsmokers 10,500 2 Calculate the risk difference per 100,000 per year. Round to the tenth decima
A researcher hypothesizes that different colors of cars result in different average speeds. To test this claim, she took a random sample of 20 people who own 4 different colors of colors of cars (n = 20, N = 80, G = 4), and she then tracks their average speed on the highway for a week of driving. The following ANOVA table has some of her results. Please help her answer her research questions by completing the following ANOVA table below and answering the follow-up questions. Be sure to label your answers with the appropriate letter and show all your work! Source Sums of Squares df Mean Square F Effect (between) Error (within) 100.90 ------ Total 170.10 ------- ------ a) What is the Sums of Squares (SS) between (effect)? b) What are the Mean Square (MS) between (effect) and the MS within (error)? c) What are the degrees of freedom (df) between, the df within, and the df total? d) What is the overall F-statistic? e) Based on the…
Use the results from a survey of a simple random sample of 1108 adults. Among the 1108 respondents, 84% rated themselves as above average drivers. We want to test the claim that 3/4 of adults rate themselves as above average drivers. a. Identify the actual number of respondents who rated themselves as above average drivers.
Micah is interested in testing whether college students' levels of gratitude change over the course of the semester. He randomly selects a sample of 100 students and assesses their levels of gratitude at the beginning, and end of the semester. Question 17 options: ANOVA Paired samples t test Independent samples t test Correlation
dults aged 18 years old and older were randomly selected for a survey on obesity. Adults are considered obese if their body mass index (BMI) is at least 30. The researchers wanted to determine if the proportion of southern women who are obese is less than the proportion of southern men who are obese. The results are shown in the table below. Test at the 1% level of significance. Number who are obese Sample size Men 42,773 155,525 Women 67,176 248,775 a.State the distribution to use for the test. (Round your answers to five decimal places. b. What is the test statistic c. Conduct a Hypothesis Test
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A certain virus affects 0.7% of the population. A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and 14% of the time if the person does not have the virus (false positive). Fill out the remainder of the following table and use it to answer the two questions below based on a total sample of 100,000 people. Virus No Virus TotalPositive Test Negative Test Total 100,000a) Find the probability that a person has the virus given that they have tested positive. Round your answer to the nearest hundredth of a percent and do not include a percent sign. % b) Find the probability that a person does not have the virus given that they test negative. Round your answer to the nearest hundredth of a percent and do not include a percent sign. %
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