Suppose a group of 1000 smokers (who all wanted to give up smoking) were randomly assigned toreceive an antidepressant drug or a placebo for six weeks. Of the 364 patients who received theantidepressant drug, 179 were not smoking one year later. Of the 636 patients who received the placebo, 161were not smoking one year later. Given the null hypothesis Họ : (Pdrug – Pplacebo) = 0 and the alternativehypothesis Ha : (Parug – Pplacebo) # 0, conduct a test to see if taking an antidepressant drug can helpsmokers stop smoking. Use a = 0.03,(a) The test statistic is(b) The P-value is(c) The final conclusion isA. There is not sufficient evidence to determine whether the antidepressant drug had an effect on changingsmoking habits after one year.OB. There seems to be evidence that the patients taking the antidepressant drug have a different successrate of not smoking after one year than the placebo group.

The question is about hypo. testing Given : No. of smokers who received antidepressant drug ( ndrug…

Answered: Suppose a group of 1000 smokers (who…

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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Suppose a group of 700 smokers (who all wanted to give up smoking) were randomly assigned to receive an antidepressant drug or a placebo for six weeks. Of the 223 patients who received the antidepressant drug, 81 were not smoking one year later. Of the 477 patients who received the placebo, 80 were not smoking one year later. Given the null hypothesis H0:(pdrug−pplacebo)=0H0:(pdrug−pplacebo)=0 and the alternative hypothesis Ha:(pdrug−pplacebo)≠0Ha:(pdrug−pplacebo)≠0, conduct a test to see if taking an antidepressant drug can help smokers stop smoking. Use α=0.03α=0.03,
A new drug is tested in two peer-reviewed studies, A and B. Both studies provide evidence that the new drug is an improvement (The null hypothesis, that the new drug does not help, is rejected). But the researchers who conducted study A report a p-value of 8.2%, the team from study B obtained a p-value of only 2.3%. Which study provides the stronger evidence in favor of the new drug? Choose the most appropriate answer. a. Study B, because follow-up studies usually provide stronger evidence. b. Study A, because their p-value is bigger. c. Study A, because it was done by real researchers, and B only by a 'team'. d. Study B, because their p-value is smaller. e. The evidence from both studies is too weak.
According to a Pew Research Center study, in May 2011, 33% of all American adults had a smart phone (one which the user can use to read email and surf the Internet). A communications professor at a university believes this percentage is higher among community college students. She selects 320 community college students at random and finds that 135 of them have a smart phone. In testing the hypotheses: Ho: p = 0.33 versus Ha: p > 0.33 Do the hypothesis test. Use a level of significance of a = 0.05; Use the unrounded values in Excel to find the answers for #3 and #4. 1. This is an example of a hypothesis test. 2. Find the standard error. 3. Find the z value. 4. Find the p-value. 5. The communication professor should the null hypothesis.
An article in the newspaper claims that 60% of registered drivers have the organ donor designation on their driver's license. A researcher at a hospital decides to investigate this claim. The researcher selects a random sample of 50 registered drivers and finds that 44.0% have the organ donor designation on their driver's license. Do the data provide convincing evidence at the ?α = 0.05 level that fewer than 60% of registered drivers have the organ donor designation on their license?
If I calculate a z test statistic of 4.84, and my α=0.05, what decision should I make about the hypothesis? (Calculate the p-value for a 2-sided test to make your decision.)
Suppose a group of 1000 smokers (who all wanted to give up smoking) were randomly assigned to receive an antidepressant drug or a placebo for six weeks. Of the 118 patients who received the antidepressant drug, 51 were not smoking one year later. Of the 882 patients who received the placebo, 319 were not smoking one year later. Given the null hypothesis H0:(pdrug−pplacebo)=0 and the alternative hypothesis Ha:(pdrug−pplacebo)≠0, conduct a test to see if taking an antidepressant drug can help smokers stop smoking. Use α=0.02, (a) The test statistic is (b) The P-value is
Suppose we want to test the null hypothesis H0 : p1 − p2 = 0.2 against the alternative hypothesis Ha : p1 − p2 < 0.2 at the 5% level of significance. Suppose also that x1 = 80, n1 = 100, x2 = 40, n2 = 80. What is the observed test statistic for this test?
In the largest clinical trial ever conducted, 401,974 children were randomly assigned to two groups. The treatment group consisted of 201,229 children given the Salk vaccine for polio, and the other 200,745 children were given a placebo. Among those in the treatment group, 33 developed polio, and among those in the placebo group, 115 developed polio. If we want to use the methods for testing a claim about two population proportions to test the claim that the rate of polio is less for children given the Salk vaccine, are the requirements for a hypothesis test satisfied? Explain. A The requirements are not satisfied; the samples are not simple random samples that are independent. B. The requirements are satisfied; the samples are simple random samples that are independent, and for each of the two groups, the number of successes is at least 5 and the number of failures is at least 5. C. The requirements are satisifed; the samples are simple random samples…
In a random sample of 320 cars driven at low altitude, 40 of them exceeded the standard 10 grams of particulate pollution per gallon of fuel consumed. In another independent random sample of 80 cars driven at high altitude, 20 of them exceeded the standard. Let P 1be the true proportion of cars that exceed the standard in low altitudes and P 2be the true proportion of cars that exceed the standard in high altitudes. What is the test statistic for testing this hypothesis.
Imagine you are doing a Related-Samples t-test, and you are on Step One of the hypothesis test. If you are doing the test with α = .05, and two tails, how would the H0 (null hypothesis) look?
A student researcher claims that fewer than 8% of the Junior High School completers will enroll in private Senior High Schools. To test this claim, he collected sufficient samples randomly and found out that 85 out of 380 Junior High School completers are planning to enroll in private Senior High Schools. Give the Null hypothesis (with mathematical model): Alternative hypothesis (with mathematical model):
Suppose the Total Sum of Squares for a completely randomized design with 5 treatments and 30 total measurements (six per treatment) is equal to 500. In each of the following cases, conduct an F-test of the null hypothesis that the mean responses for the five treatments are the same. Use α = .10 b. SST is 50% of SS(Total)

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