The final conclusion isO A. We can reject the null hypothesis that p = 0.65 and accept that p < 0.65.B. There is not sufficient evidence to reject the null hypothesis that p = 0.65.(3) Test Ho : p = 0.65 against H. : p + 0.65. Use a = 0.01.test statistic zpositive critical z scorenegative critical z scoreThe final conclusion isA. There is not sufficient evidence to reject the null hypothesis that pB. We can reject the null hypothesis that p = 0.65 and accept that p + 0.65.0.65. A random sample of 130 observations is selected from a binomial population with unknown probability ofThe computed value of p is 0.75.successр.(1) Test Ho : p = 0.55 against H. :p > 0.55. Use a = 0.05.%3Dtest statistic z =critical z scoreThe final conclusion isA. There is not sufficient evidence to reject the null hypothesis that p = 0.55.B. We can reject the null hypothesis that p = 0.55 and accept that p > 0.55.(2) Test Ho : p = 0.65 against Ha : p < 0.65. Use a0.01.%3Dtest statistic z =critical z scoreThe final conclusion isO A. We can reject the null hypothesis that p = 0.65 and accept that p < 0.65.B. There is not sufficient evidence to reject the null hypothesis that p = 0.65.(3) Test Ho : p = 0.65 against H. :p+0.65. Use a = 0.01.

Answered: The final conclusion is A. There is not…

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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Molly works for a meat producer, and she needs to determine whether containers of ground beef have the correct fat content. She obtains a random sample of 120 containers of ground beef and finds that 84 percent have the correct fat content. Molly then conducts a hypothesis test of H0:p=0.80H0:p=0.80 versus Ha:p≠0.80Ha:p≠0.80 and calculates a test statistic of 1.10 with a pp-value of 0.273. Which of the following best represents the meaning of the pp-value? If the population proportion is 0.84, the probability of observing a sample proportion of 0.80 is 0.273. A If the population proportion is 0.84, the probability of observing a sample proportion of at least 0.04 less than 0.84 is 0.273. B If the population proportion is 0.80, the probability of observing a sample proportion within 0.04 of 0.80 is 0.273. C If the population proportion is 0.80, the probability of observing a sample proportion at least 0.04 greater than 0.80 is 0.273. D If the…
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