The Economic Policy Institute periodically issues reports on worker's wages. The institute reported that mean wages for male college graduates were $37.39 per hour and for female college graduates were $27.83 per hour in 2017. Assumethe standard deviation for male graduates is $4.60, and for female graduates it is $4.10. Use z-table.Round your answers to four decimal places.a. What is the probability that a sample of 50 male graduates will provide a sample mean within $1.00 of the population mean, $37.39?b. What is the probability that a sample of 50 female graduates will provide a sample mean within $1.00 of the population mean, $27.83?c. In which of the preceding two cases, part (a) or part (b), do we have a higher probability of obtaining a sample estimate within $1.00 of the population mean?Select your answer - ✓Why?Because the standard error for female graduates is Select your answer the standard error for male graduatesd. What is the probability that a sample of 120 female graduates will provide a sample mean more than $0.60 below the population mean, $27.83?

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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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Which statistic (mean, median, or mode) is most appropriate in each of the following situations? a. Tables in the dining hall are numbered 1 through 12 for students who eat there. The principal calls out a number for the table that will go through the buffet line first. The other tables follow in order of the table numbers. One student is sure the principal calls certain tables more often. She keeps track of which numbers are called over a 21-day period. OMean OMedian OMode b. The offensive line of a football team is larger than in previous years. The program will list a statistic to show this fact. OMean Median OMode c. A reporter is doing a story on the falling prices of homes in a large neighborhood. The reporter wants to demonstrate how the prices have fallen for the typical home, not just the most expensive houses. OMean OMedian OMode
E Question Help According to a newspaper, 78% of high school seniors have a driver's license. Suppose we take a random sample of 200 high school seniors and find the proportion who have a driver's license. a. What value should we expect for our sample proportion? b. What is the standard error? c. Use your answers to parts (a) and (b) to complete this sentence: We expect d. Suppose we increased the sample size from 200 to 800. What effect would this have on the standard error? Recalculate the standard error to see if your prediction was correct. % to have their driver's license, give or take %. a. We should expect a sample proportion of %. (Type an integer or a decimal. Do not round.) b. The standard error is (Type an integer or decimal rounded to three decimal places as needed.) c. Use your answers to fill in the blanks below. We expect % of students to have a driver's license, give or take %. (Type integers or decimals rounded to one decimal place as needed.) d. Select the correct…
Give the test statistic and p-value.
Solve b
What effect does increasing the sample size have on the probability? Provide an explanation for this result. Choose the correct answer below. A. The probability increases because the variability in the sample mean decreases as the sample size increases. B. The probability increases because the variability in the sample mean increases as the sample size increases. C. The probability decreases because the variability in the sample mean increases as the sample size increases. D. The probability decreases because the variability in the sample mean decreases as the sample size increases.
Don't Hand writing in solution.
According to DATAUSA, the homeownership rate in Wilmington, DE is 60%. A random sample of 25 residents in Wilmington, DE was selected. The standard error of the proportion is ________.
You are conducting a case-control study to examine the association between retail work and housing insecurity. You enroll 250 cases and 250 controls. 121 people work in retail, including 71 cases. Calculate the odds ratio to examine the association between retail work and housing security. Round to the nearest 10th (one decimal point). Your Answer:
A survey investigates whether the proportion of 8% for employees who commute by car to work is higher than it was five years ago. Identify the Type II error in this context. Choose the best asnwer below: A. The survey sampled only a dozen employee commuters. B. The product of the survey's sample size and sample proportion was less than 10. C. The survey concludes that commuting by car is on the rise since the commuting can only increase. D. The survey concludes that commuting by car is on the rise, but in fact there is no change in commuting. E. The survey states there in no change in commuting, but in fact commuting by car is increasing.
Name: ID: B 14. Is the sample mean, calculated from a random sample, an unbiased estimator of the population mean? Explain.
5
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