An operations manager who supervises an assembly line has been experiencingproblems with the sequencing of jobs. The problem is that bottlenecks are occurringbecause of the inconsistency of sequential operations. He decides to conduct anexperiment wherein two different methods are used to complete the same task. Hemeasures the times (in seconds). The data are listed here.Method 1Method 28.8 9.68.49.08.39.29.08.7 8.5 9.49.2 9.48.99.69.78.48.88.9 9.0 9.7Can he infer that the second method is more consistent than the first method? Use5% level of significance.a) There is enough evidence to infer that the second method is more consistentthan the first method.b) There is not enough evidence to infer that the second method is moreconsistent than the first method.c) None of the answers are correct

Given : For method 1 given data : 8.8,9.6,8.4,9.0,8.3,9.2,9.0,8.7,8.5,9.4

Answered: a) There is enough evidence to infer…

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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Show full answers and steps to part d) & e) of the exercise. Please explain how you get to the answers without using stata, R or excel
Many consumer groups feel that the Country A drug approval process is too easy and, as a result, too many drugs are approved that are later found to be unsafe. On the other hand, a number of industry lobbyists have pushed for a more lenient approval process so that pharmaceutical companies can get new drugs approved more easily and quickly. Consider a null hypothesis that a new, unapproved drug is unsafe and an alternative hypothesis that a new, unapproved drug is safe. Complete parts (a) through (d) below. ..... a. Explain the risks of committing a Type I or Type Il error. Choose the correct answer below. A. A Type l error would be incorrectly approving a safe drug. A Type Il error would be incorrectly failing to approve an unsafe drug. B. A Type l error would be incorrectly failing to approve an unsafe drug. A Type Il error would be incorrectly approving a safe drug. C. A Type I error would be incorrectly approving an unsafe drug. A Type Il error would be incorrectly failing to…
A private school official claims that more than 70% of the students who come to their school to prepare for the university entrance exam, get the degree they want at the university. In order to investigate this claim, 120 students who were randomly selected among the students who went to the said school and won the university were asked whether they won the department they wanted or not, and it was learned that 90 students won the department they wanted in the university. Construct the hypothesis about the official's claim. Which of the following hypothesis is correct? H0 : P ≤ 0.75 H1 : P > 0.75 H0 : P ≤ 0.70 H1 : P > 0.70 H0 : P = 0.70 H1 : P < 0.70 H0 : P = 0.75 H1 : P ≠ 0.75 H0 : P = 0.70 H1 : P ≠ 0.70
On an assembly line, there are 3 "checkpoints" at which a widget is inspected for defects. Upon review of prior data, the following is noted: The test for product integrity finds a problem 26% of the time The test for product specifications finds a problem 19% of the time The test for packaging consistency finds a problem 38% of the time (It's not a particularly good assembly line!) Assume for purposes of this problem, that all of the tests / checkpoint problems are independent of each other. What is the probability that an error will be found by all of the tests? What is the probability that an error will be found by any one of the tests? That is, a problem on the first, or second, or third test? What is the probability that a problem will be found for the "packaging consistency" only? What is the probability of finding an error of at least one of the tests? Hint: You can use your complement rule here.
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Two different types of polishing solutions are being evaluated for possible use in tumble-polish operation for manufacturing interocular lenses used in the human eye following cataract surgery. Three hundred lenses were tumble polished using the first polishing solution, and of this number, 253 had no polishing-induced defects. Another 300 lenses were tumble-polished using the second polishing solution, and 196 lenses were satisfactory upon completion. Is there any reason to believe that the two polishing solutions differ? Use a = 0.01. O a. Reject the Null hypothesis. 5.36 > 1.96 O b. All of the choices O c. Reject the Null hypothesis. 5.36 > 1.65 d. Reject the Null hypothesis. 5.36 > 2.58
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20.
A professor has been teaching an undergraduate course for the last 15 years and has noticed that in the fall term there are more failures than in the same course offered in the winter term. The professor is wondering if this may be due to students being less prepared for the subject matter in the fall than in the winter because more students are taking the prerequisite simultaneously. Before drawing any conclusions though, the professor goes back over all the grades in all classes she taught in the last 15 years and counts the number of students that passed or failed. She then also records who had and had not completed the prerequisite first (see Table 4 for the data). On the basis of the last 15 years of data, should the professor conclude that there is a difference in pass and failure rates depending on whether the 3 prerequisites was done or not? Use the alpha of 0.05 and carry out all the steps of hypothesis testing to answer the hypothesis. Completed prior Simultaneously…
06:23 A myopenmath.com You are conducting a study to see if the proportion of voters who prefer the Democratic candidate is significantly smaller than 73% at a level of significance of a = 0.01. According to your sample, 40 out of 59 potential voters prefer the Democratic candidate. a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? O Select an answer > (please enter a decimal) H1: ? 0 Select an answer © (Please enter a decimal) c. The test statistic ? O (please show your answer to 3 decimal places.) d. The p-value (Please show your %3D answer to 4 decimal places.) e. The p-value is ? 0 f. Based on this, we should Select an answer the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the population proportion is not significantly smaller than 73% at a = 0.01, so there is sufficient evidence to conclude that the proportion of voters who prefer the Democratic candidate is equal to 73%. The data suggest the…
A professor has been teaching an undergraduate course for the last 15 years and has noticed that in the fall term there are more failures than in the same course offered in the winter term. The professor is wondering if this may be due to students being less prepared for the subject matter in the fall than in the winter because more students are taking the prerequisite simultaneously. Before drawing any conclusions though, the professor goes back over all the grades in all classes she taught in the last 15 years and counts the number of students that passed or failed. She then also records who had and had not completed the prerequisite first (see the table attached for data). On the basis of the last 15 years of data, should the 3 professor conclude that there is a difference in pass and failure rates depending on whether the prerequisite was done or not? Use the alpha of 0.05 and carry out all the steps of hypothesis testing to answer the hypothesis.
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a) There is enough evidence to infer that the second method is more consistent than the first method. b) There is not enough evidence to infer that the second method is more consistent than the first method. c) None of the answers are correct