(ii)Construct 98% confidence interval for thetrue average time it takes to do the job. The efficiency expert at a computer companytested 40 engineers to estimate the averagetime it takes to assemble a certain computercomponent, getting a mean of 12.73 minutesand S.D of 2.06 minutes.

Given,sample size(n)=40sample mean(x¯)=12.73standard deviation(s)=2.06degrees of…

Answered: The efficiency expert at a computer…

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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suppose the five number summary for the normal annual precipitation (in inches) for 12 different U.S. cities is the following: 5.1, 11.5, 16, 22.1, 51.7 A. The IQR is 10.6 This means that the difference between the largest an smallest amount of rainfall is 10.6 inches B. The IQR is 10.6 This means that the range of the middle 50% of rainfall values is 10.6 inches. C. The IQR is 46.6 This means that the difference between the largest and smallest amount of rainfall is 46.6 D. The IQR is 46.6 This means that the range of the middle 50% of rainfall is 46.6 inches.
A researcher found that the two groups (n=25 in each group) they tested were significantly different from each other with a t-value of 2.91, which has a corresponding p-value of p=.06. Report the findings in APA number format.
6.55 More on determining hypotheses. State the null hypothesis Ho and the alternative hypothesis Ha in each case. Be sure to identify the parameters that you use to state the hypotheses. (a) A university gives credit in first-year calculus to students who pass a placement test. The mathematics department wants to know if students who get credit in this way differ in their success with second-year calculus. Scores in second-year calculus are scaled so the average each year is equivalent to a 77. This year, 21 students who took second-year calculus passed the placement test.
A sports psychologist wants to compare the running time for athletes vs non-athletes while running 1 mile. He collects data from 226 non-athletes and 166 athletes and analyzes it using SPSS.
A running coach wants to know if participating in weekly running clubs significantly improves the time to run a mile. The running coach collects mean mile times for 42 runners who participate in weekly running clubs with 54 runners who do not run in clubs. The running coach measures times in January and June of the same year. All times are in seconds, and the runners all started with mile times between 8 minutes (480 seconds) and 9 minutes (540 seconds). Here are the results: (table) The running coach investigates if runners in a running club improve times more than runners not in a club. The running coach conducts a hypothesis test for the difference in sample mean change (“Running Club” minus “Not in a Club”). Here are the results: T-value = 2.7027, p-value = 0.0043, DF = 74 95% Confidence Interval (0.5254, 3.4746) Which of the following can the running coach conclude? Runners who participate in running clubs have a statistically significant change in running times when compared…
The head of a computer science department is interested in estimating the proportion of students entering the department who will choose the new computer engineering option. A preliminary sample indicates that the proportion will be around 0.35. Therefore, what size sample should the department head take if she wants to be 95% confident that the estimate is within 0.10 of the true proportion?
Suppose that the average number of miles driven by a student is 15,000 and the standard error is 5000 miles. Find the interval of miles within which 99% of the drivers fall.
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On average, a sample of n = 36 scores will provide a better estimate of the population mean than a sample of n = 49 scores from the same population.
A computer system administrator notices that computers running a particular operating system seem to freeze up more often as the installation of the operating system ages. She measures the time (in minutes) before freeze-up for seven computers one month after installation, and for nine computers seven months after installation. The results are as follows: One month after 207.4233.1215.9 install: 235.1225.6244.4 245.3 Seven months 84.3 53.2 127.3 after install: 201.3174.2246.2 149.4 156.4 103.3 Find a 95% confidence interval for the mean difference in time to freeze-up between the first month and the seventh.
Twenty percent of anthropology majors were offered a starting salary greater than .

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The efficiency expert at a computer company tested 40 engineers to estimate the average time it takes to assemble a certain computer component, getting a mean of 12.73 minutes and S.D of 2.06 minutes.