5.L 12.00 1.(8) 6. A company is interested in buying one of two different kinds of machines. Company tested the two machines for production purposes. The first machine was run for 8 hours and produced an average 123 items per hour with a standard deviation of 9 items. The second machine was run for 10 hours and produced an average of 114 items per hour with a standard deviation of 6 items. Assume that the production per hour for each machines approximately normally distributed. Also assume that the standard deviation of the hourly production of the two populations is equal. Make the 0% confidence interval for the difference between the two population

5.L 12.00 1.(8) 6. A company is interested in buying one of two different kinds of machines. Company tested the two machines for production purposes. The first machine was run for 8 hours and produced an average 123 items per hour with a standard deviation of 9 items. The second machine was run for 10 hours and produced an average of 114 items per hour with a standard deviation of 6 items. Assume that the production per hour for each machines approximately normally distributed. Also assume that the standard deviation of the hourly production of the two populations is equal. Make the 0% confidence interval for the difference between the two population

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Description: I05.L 12.00 1.(8)6. A company is interested in buying one of two different kinds ofmachines. Company tested the two machines for productionpurposes. The first machine was run for 8 hours and produced anaverage 123 items per hour with a standard devi

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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I don’t get why the Standard deviation for 3a is 50.61. How do you calculate it
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You have obtained the number of years of education from one random sample of 38 police officers from City A and the number of years of education from a second random sample of 30 police officers from City B. The average years of education for the sample from City A is 15 years with a standard deviation of 2 years. The average years of education for the sample from City B is 14 years with a standard deviation of 2.5 years. Is there a statistically significant difference between the education levels of police officers in City A and City B?What is the appropriate test for this case? 2 sample z-testChi-square test 2-sample t-test2 sample paired t-test Carry out the test. The test statistic = (round answer to two decimal places.)and the p-value is (round answer to 2 decimal places)There sufficient evidence at the 5% level to conclude that the education levels of police officers in City A and City B is significantly different.
Q1.[5 points]: A researcher wants to assess if there is a difference in the average age of onset of a certain disease for men and women who get the disease. Let µ = average age of onset for women and µ2 = average age of onset for men. A random sample of 30 women with the disease showed an average age of onset of 83 years, with a sample standard deviation of 11.5 years. A random sample of 20 men with the disease showed an average age of onset of 77 years, with a sample standard deviation of 4.5 years. Assume that ages at onset of this disease are normally distributed for each gender, and assume the population variances are equal. i. What are the appropriate null and alternative hypothesis? ii. What is the value of the test statistics? iii. Why you decided to use the test statistics in part ii ? For a significant level of 0.05, what is the critical value (or critical region)? What is the appropriate conclusion to this test? iv. V.
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Greg is in his first semester at a university and is taking a calculus course with a large enrollment. He just took the first midterm exam and is nervous about his score. Among all the students in the course, the mean of the exam was 85 with a standard deviation of 15.Find that grag has obtain less then 95.
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3.1. Suppose that the height of the women is a normal variable with a mean of 1.62 meters (m) and a standard deviation of 24 centimeters. Calculate the percentage of women who measures (a) more than 1.70 m. (b) between 1.66 and 1.58 m. (c) less than 1.50 m. d) between 1.60 and 1.63 m.
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