Help 11 In a clinical trial, 27 out of 845 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.9% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to concludethat more than 2.9% of this drug's users experience flulike symptoms as a side effect at the a 0.01 level of significance?Because npo (1- Po) =D 10, the sample size is(Round to one decimal place as needed.)V 5% of the population size, and the sampleV the requirements for testing the hypothesissatisfied.What are the null and alternative hypotheses?Ho: VI versus H,: V0(Type integers or decimals. Do not round.)Find the test statistic, zo-Zn = (Round to two decimal places as needed.)Find the P-value.P-value = (Round to three decimal places as needed.)Choose the correct conclusion below.O A. Since P-value >a, do not reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.9% of the users experience flulike symptoms.O B. Since P-value < a, do not reject the null hypothesis and conclude that there is sufficient evidence that more than 2.9% of the users experience flulike symptoms.OC. Since P-value a, reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.9% of the users experience flulike symptoms.

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Answered: In a clinical trial, 27 out of 845…

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

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In a clinical trial, 17 out of 900 patients taking a prescription drug complaint of flu like symptoms. Suppose that it is known that 1.3% of the patients taking competing drugs complain of flu like symptoms. Is there sufficient evidence to conclude that more than 1.3% of the drugs user experience food like symptoms as a side effect at the 0.01 level of significance? what are the normal and alternative hypothesis?
In a clinical trial, 24 out of 881 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.3% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 2.3% of this drug's users experience flulike symptoms as a side effect at the α=0.1 level of significance? Because np01−p0=19.819.8 greater than> 10, the sample size is less thanless than 5% of the population size, and the sample can be reasonably assumed to be random, the requirements for testing the hypothesis are satisfied. (Round to one decimal place as needed.) What are the null and alternative hypotheses? H0: pp equals= . 023.023 versus H1: pp greater than> . 023.023 (Type integers or decimals. Do not round.) Find the test statistic, z0. z0=. 82.82 (Round to two decimal places as needed.) Find the P-value.…
In a clinical trial 28 out of 853 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.7% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 2.7% of this drug's users experience flulike symptoms as a side effect at the α=0.1 level of significance? Because np01−p0= * less than< * equals= * greater than> * not equals≠ 10, the sample size is ▼ * greater thangreater than * less thanless than 5% of the population size, and the sample ▼ * is given to not be random, * is given to be random, * can be reasonably assumed to be random, * cannot be reasonably assumed to be random, the requirements for testing the hypothesis ▼ *are not * are satisfied. (Round to one decimal place as needed.)
A major credit card company is interested in the proportion of individuals who use a competitor’s credit card. Their null hypothesis is H0: p=0.65H0: p=0.65, and based on a sample they find a sample proportion of 0.70 and a pp-value of 0.053. Is there convincing statistical evidence at the 0.05 level of significance that the true proportion of individuals who use the competitor’s card is actually greater than 0.65 ?
The NAEP considers that a national average of 283 is an acceptable performance. Using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2019 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2019 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?
In a test of H0: p = 0.8 against H1: p ≠ 0.8, a sample of size 1000 produces Z = 2.05 for the value of the test statistic. Thus the p-value (or observed level of significance) of the test is approximately equal to:

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