QUESTION 6The dividing point between the region where the null hypothesis is rejected and the region where it is not rejected is known as the Critical Value.O TrueO False

Given : Statement : The dividing point between the region where the null hypo. is rejected and the…

Answered: QUESTION 6 The dividing point between…

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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Question 14 (a) Consider the following statement and indicate whether it is true of false. In hypothesis testing one can control the probability of incorrectly rejecting the null hypothesis, even though it is true, by choosing the value for the power of the test. O True False Consider the following statement and indicate whether it is true of false. For any hypothesis test the probability of making a Type I error is used to identify the rejection region. True False
Before changes to its management staff, an automobile assembly line operation had a scheduled mean completion time of 14.2 minutes. The standard deviation of completion times was 1.6 minutes. An analyst at the company suspects that, under new management, the mean completion time, µ, is now less than 14.2 minutes. To test this claim, a random sample of 12 completion times under new management was taken by the analyst. The sample had a mean of 13 minutes. Assume that the population is normally distributed. Can we support, at the 0.01 level of significance, the claim that the population mean completion time under new management is less than 14.2 minutes? Assume that the population standard deviation of completion times has not changed under new management. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.)
Question 10: give the conclusion.
Question 6: A hypothesis test results in the rejection of the null hypothesis at significance level a=0.05. What is the result if the test is redone at significance level a=0.01, with all other test parameters remaining the same? (a) The null hypothesis is still rejected with a higher power value (b) The null hypothesis is still rejected with a lower power value (c) The null hypothesis may not be rejected with a higher power value (d) The null hypothesis may not be rejected with a lower power value
A personal computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting a random sample of 12 workers and timing each worker on each assembly process. Half of the workers are chosen at random to use Process 1 first, and the rest use Process 2 first. For each worker and each process, the assembly time (in minutes) is recorded, as shown in the table below. Worker 1 2 3 4 5 6. 7 8. 9. 10 11 12 Process 1 85 63 46 85 83 70 64 51 48 69 67 52 Process 2 88 46 43 61 80 51 59 53 23 46 59 52 Difference - 3 17 3 24 19 5 -2 25 23 8 (Process 1 - Process 2) Send data to calculator Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly times for the two processes differ? Answer this question by performing a hypothesis test regarding u, (which is with a letter "d" subscript), the population…
14
Which of the following statements about hypothesis testing are true? There may be more than one correct statement; check all that are true. a) The most common test in one sample problems is of the null hypothesis: Ho : μ = σ b) If the null hypothesis is true, we cannot make a type I error. c) The most important contribution of hypothesis testing is that it allows us to use known values of parameters to estimate unknown values of their statistical estimators. d) If a null hypothesis is rejected at the 0.05 significance level, it would also be rejected at the 0.10 significance level.
You watch people exiting Dodgers stadium after a game and you write down the number of males and the number of females that exit the stadium past you during the 20 minutes that you spend watching. You assumed that there would be a perfectly equal number of males and females attending a Dodgers game, but you look at the number of males and females that you actually counted, and you see if you still think that is actually true. What kind of hypothesis test would allow you to do this? a. One-Factor, Independent-Measures ANOVA b. Two-Factor ANOVA c. Correlation/Regression d. Chi-Square Goodness of Fit
Kira has two ways to travel from her home in Norco to her office in LOs Angeles. One is to go via the 10 Freeway, and the other is to go via 60 Freeway. In order to determine which way she should travel on a daily basis, Kira has recorded the travel times for samples of eight trips via the 10 Freeway and eight trips via the 60 Freeway. The following table gives the travel times (in minutes) for the sixteen trips. Travel times in minutes 10 Freeway 71, 75, 69, 65, 65, 66, 72, 68 60 Freeway 76, 76, 66, 79, 74, 70, 72, 77 Send data to calculator Send data to Excel Assume that the two populations of travel times are normally distributed and that the population variances are equal. Can we conclude, at the 0.10 level of significance, that u,, the mean travel time via the 10 freeway, is different from µ, the mean travel time via the 60 freeway? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers…
A decade-old study found that the proportion of high school seniors who felt that "getting rich" was an important personal goal was 68%. Suppose that we have reason to believe that this proportion has changed, and we wish to carry out a hypothesis test to see if our belief can be supported. State the null hypothesis H, and the alternative hypothesis H that we would use for this test. H: 0 O
Question 20: give the conclusion.
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QUESTION 6 The dividing point between the region where the null hypothesis is rejected and the region where it is not rejected is known as the Critical Value. O True O False