A manufacturing engineer claims the proportion of good units on a manufacturing line is 85%.To test this claim, a random sample of units are monitored and checked if they are considered as good units at thecompletion of the manufacturing process.Assume that the test statistic for this hypothesis test is 0.79.Since this is a two tailed hypothesis test, assume that the critical values for this hypothesis test are -1.96 and 1.96Come to a decision for the hypothesis test and interpret your results with respect to the original claim.Select the correct answer below:OReject the null hypothesis.There is enough evidence to reject the claim that the proportion of good units on a manufacturing line is 85%.OFail to reject the null hypothesis.There is not enough evidence to reject the claim that the proportion of good units on a manufacturing line is85%.

Given a hypothesis test to check the proportion of good units on a manufacturing line is 85%.In a…

Answered: A manufacturing engineer claims the…

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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High-powered experimental engines are being developed by the Hendrix Motor Company for use in their new sports coupe. The engineers have calculated the maximum horsepower for the engines to be 650HP. Sixteen engines are randomly selected for testing. Perform a hypothesis test to determine whether the data suggests that the average maximum horsepower for the experimental engine is significantly different than the maximum horsepower calculated by the engineers. Assume the data are normally distributed and use a significance level of 0.01. Maximum Horsepower (HP) 634 607 688 630 695 635 657 655 678 671 676 689 672 687 680 677 Copy Data Step 2 of 3 : Compute the value of the test statistic. Round your answer to three decimal places.
A two-tailed test is performed at 95% confidence. The p-value is determined to be 0.0478. The null hypothesis must be rejected should not be rejected could be rejected, depending on the sample size has been designed incorrectly
A random sample of 828 births included 427 boys. Use a 0.10 significance level to test the claim that 51.5% of newborn babies are boys. Do the results support the belief that 51.5% of newborn babies are boys? D. Ho: p=0.515 H₁: p0.515 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is 0.04 (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is 0 (Round to three decimal places as needed.) 4 √₁ S Vi 1 (4) More
A two-tailed hypothesis test for the population mean has two critical values. may have one or two critical values. has only one critical value. O may have more than two critical values.
A sample of 60 chewable vitamin tablets have a sample mean of 298 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the mean mass of vitamin C per tablet differs from 299 milligrams. State the appropriate null and alternate hypotheses.
Determine the test statistic x2 and the pvalue
For a one-tailed (upper tail) hypothesis test with a sample size of 26 and a .01 level of significance, the critical value of the test statistic t is
The dataset "nurses" is a random sample of 1,000 cases from “Health Care Provider Credential Data” from Washington State Open Data Portal. In the sample, there are 418 CNA's and 278 of the CNA's have expired credentials. Use the statistics from the nurses dataset to answer the following question: "With 90% confidence, what percent of all CNA's on Washington State's healthcare provider list are expired?"
In an exam imposed by a corporation on a very large number of people, we consider that the score obtained isa random variable obeying a normal law. Note mean is 65 and variance is 152.The corporationdecides that only 25% of participants will be accredited by this exam. What grade do you need to get to beaccredited?

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