A clinical trial for a new material used in hip transplant. The existingmaterial has failure rate of 0.02. The manufacturer claims that the newmaterial has lower failure rate.Ho :HaP = 0.02p < 0.02What is the type I error? What is the type II error?● As a patient, do you prefer a clinical trial with a test of largerα = = 0.05 or smaller a = 0.01 ?● As an investor who holds the company's stock, do you prefer a testwith a = 0.05 or a = 0.01 ?

Given: The material has a failure rate of 0.02. The hypothesis is, Null hypothesis H0: p=0.02…

Answered: A clinical trial for a new material…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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State whether the standardized test statistict indicates that you should reject the null hypothesis. Explain. (a) t=2.242 (b) t= 0 (c) t=2.195 (d) t= -2.254 0. (a) For t 2.242, should you reject or fail to reject the null hypothesis? O A. Reject Ho, because t> 2.219. O B. Reject Ho, because t 2.219. O D. Fail to reject Ho, because t<2.219.
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MORE BENEFITS OF EATING ORGANIC Using specific data, we find a significant difference in the proportion of fruit flies surviving after 13 days between those eating organic potatoes and those eating conventional (not organic) potatoes. This exercise asks you to conduct a hypothesis test using additional data. In this case, we are testing Họ : Po = Pc Ha: Po > Pc where p, and p. represent the proportion of fruit flies alive at the end of the given time frame of those eating organic food and those eating conventional food, respectively. Use a 5 % significance level. Effect of Organic Bananas After 25 Days After 25 days, the proportion of fruit flies eating organic bananas still alive is 0.45 , while the proportion still alive eating conventional bananas is 0.42. The standard error for the difference in proportions is 0.029. What is the value of the test statistic? Round your answer to two decimal places. z = i What is the p-value? Round your answer to three decimal places. p-value = What…
"given a simple regression with slope b=3, s (sub y)=8, and s (sub x)= 2, and n=30. Find the standard error of the estimate."
(b) x = 25.1 Find the value of the test statistic. Find the p-value. p-value - State your concluslon. O Reject Ho. There is sufficient evidence to conclude that u z 22. Reject Hg. There is insufficient evidence to conclude that u = 22. O Do not reject Ho. There is insufficient evidence to conclude that u + 22. O Do not reject Ho: There is sufficient evidence to conclude that u + 22. (c) x = 21 Find the value of the test statistlc. Find the p-value. p-value = State your conclusion. O Reject Ho. There Is sufficlent evidence to conclude that u + 22. O Reject Hg. There is insufficient evidence to conclude that u + 22. O Do not reject Ho- There is insufficient evidence to conclude that pu + 22. O Do not reject Hp. There is sufficient evidence to conclude that u + 22.
Victims of Violence A random survey of 86 women who were victims of violence found that 20 were attacked by relatives. A random survey of 54 men found that 6 were attacked by relatives. At α=0.10, can it be shown that the percentage of women who were attacked by relatives is different from the percentage of men who were attacked by relatives? Use p1 for the proportion of women who were attacked by relatives. Use the P-value method with tables. State the hypotheses and identify the claim with the correct hypothesis. H0: claim/do not claim? H1: claim/do not claim? This hypothesis test is one tailed/two tailed? Compute the test value. Round all intermediate steps to four decimal places and always round z score values to tow decimal places. Z= Compute the P-value. Round the answer to four decimal places. P -value = Make the decision. Reject/do not reject the null hypothesis. Summarize the results. There is/ is not enough evidence to support the claim t
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ = 28 versus H1: μ ≠ 28. The true value of μ is 29 and H0 is rejected.
If a treatment is expected to decrease scores in a population with µ= 30, then the alternative hypothesis is µ ≤ 30. True or false?
Z = P= reject or fail?
You run a regression analysis on a bivariate set of data (n = 106). You obtain the regression equation y = 4.241x – 10.085 =0.373 (which is significant at a value (on average) for the explanatory variable will give you a value of 70 on the response variable. with a correlation coefficient of r 0.01). You want to predict what What is the predicted explanatory value? X = (Report answer accurate to one decimal place.)

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