Consider the following table in reference to a hypothesis test:\[\begin{array}{c|cc} & H_0 \text{ True} & H_0 \text{ False} \\\hline\text{Accept } H_0 & (1) & (2) \\\text{Reject } H_0 & (3) & (4) \\\end{array}\]A Type I error occurs if entry (3) occurs.- $ \text{1) True} $- $ \text{2) False} $

Given, H0 TrueH0 falseAccept H0(1)(2)Reject H0(3)(4)

Answered: Consider the following table in…

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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If the researcher wants to do a 2 tailed hypothesis test based on the data to generalize the relationship, what would the null and alternative hypothesis be? (in words and symbol notation).
The mean SAT Score in mathematics is 523. The standard deviation of these scores is 39. A special preparation course claims that the mean SAT score, u, of its graduates is greater than 523. An independent researcher tests this by taking a random sample of 33 students who completed the course; the mean SAT score in mathematics for the sample was 541. Assume that the population is normally distributed. At the 0.01 level of significance, can we conclude that the population mean SAT score for graduates of the course is greater than 523? Assume that the population standard deviation of the scores of course graduates is also 39. 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.) (a) State the null hypothesis H, and the alternative hypothesis H,. H, : H : (b) Determine the type of test statistic to use. D=D OSO (Choose one) (c)…
QUESTION 4 For the following hypothesis test: Ho 23 HA 23 0.025 with n- 25, s-8, and - 20, state (a). the decision rule in terms of the critical value of the test statistic (b). the calculated alue of the test statistic (c). the conclusion T T T Arial v 3 (12pt) - T-E - E- - O O D
Question 8: give the conclusion
Question 31: give the conclusion
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.)
6. A cigarette manufacturer has designed a new filter for the filtered cigarettes it produces. The following hypotheses are being tested: Ho: the new filter is effective in reducing tar H₁: the new filter is not effective in reducing tar Would concluding that the new filter is effective in reducing tar when it actually is not effecuve be an example of a Type 1 or Type 2 error? Would this be a serious error to make? Explain.
Let’s assume the average income for all majors in the School of Engineering is $80,000. However, the chair of the Computer Science department thinks their students earn more than that. Please choose the appropriate null and alternative hypotheses if the chair wanted to test this belief. a. H0: u <=80,000 Ha: u > 80,000 b. H0: u= 80000 Ha: u not= 80000 c. H0: u >80000 Ha: u < 80000 d. H0: u >80000 Ha: < 80000 e. None of the above.
Question 10: give the conclusion.
4
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
1- D)E)F)

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Consider the following table in reference to a hypothesis test: Ho True Ho false (1) (3) Accept Ho Reject Ho (2) (4) A Type I error occurs if entry (3) occurs. 1) True 2) False