In 1991, a person was working as an engineer at a paper company when they were laid off in round 2 ofseveral rounds of layoffs by the company. This person sued the company for age discrimination. The engineerclaimed that the laid off workers were older than others.The age of randomly selected 10 workers who were laid off and not lay off in round 2 are given below. Testthe engineer's claim at 10% level of significance.Note that the data for two samples are in different column.Click this button to reveal the dataNo25333538485556Yes555564Download the .csv file or copy/paste the data into Excel. After downloading .csv file, you may want to saveit as a Excel Workbook.UknownDownload CSV filea. What is the response variable that is being compared in this study? AgeOFb. How many samples of data are being compared in this study? 2c. Are the samples random and independent?O YesNoe. What type of test is this?Two-side✓d. What test is used for this problem? Wilcoxon Test (or Wilcoxon Rank test) #OF d. What test is used for this problem? Wilcoxon Test (or Wilcoxon Rank test) 4 ✓e. What type of test is this?Two-sideOne-sidePerform the test and answer the following questions:f. Report the test statistic.(Give answer to 4 decimal places)At a 10% level of significance, fill in the blanks for the following statements.h. The p value is Select an answer the significance level.i. The null hypothesis is Select an answerj. It is Select an answer that there no difference in the age distribution of all laid off workers and otherworkers.g. p-valuek. This p value suggests that the observed samples Select an answerno difference in the age distribution of all laid off workers and other workers.l. There is Select an answer evidence that the laid off workers are older than other workers.if there was

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Answered: In 1991, a person was working as an…

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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A coffee shop gets its stock of bagels for the day delivered from a baker in the morning before opening. Suppose they need to sell 250 bagels every day to break even on their purchase of bagels from the baker. The store manager, when closing the store for the night, notices that many bagels are left unsold and fears they are not breaking even. Rather than using anecdotes, the store manager decides to collect some data. 42 days are randomly sampled and the number of bagels sold on that day is measured. The sample mean is found to be 240 bagels with a standard deviation of 30 bagels. Are they losing money selling bagels? Let μ be the true number of bagels sold in a day. Test this at claim at theα= 0.01 level. (a) Set up the null and alternative hypothesis (using mathematical notation/numbers AND interpret them in the context of the problem) (b) Calculate the test statistic (c) Calculate the critical value (d) Draw a picture of the distribution of the test statistic underH0. Label and…
calculate the mean and ss for each of the following sample numbers 1,3,4,0
A nationwide job recruiting firm wants to compare the annual incomes for childcare workers in New York and Illinois. Due to recent trends in the childcare industry, the firm suspects that the that the mean annual income of childcare workers in the state of New York is greater than the mean annual income of childcare workers in Illinois. To see if this is true, the firm selected a random sample of 20 childcare workers from New York and an independent random sample of 20 childcare workers from Illinois and asked them to report their mean annual income. The data obtained were as follows. Annual income in dollars New York 46686 , 34979 , 47325 , 48892 , 51128 , 56792 , 47785 , 48995 , 57301 , 55176 , 48002 , 45718 , 50351 , 58527 , 47067 , 53699 , 54361 , 49727 , 36426 , 50870 Illinois 48009 , 46871 , 42774 , 49790 , 43163 , 45401 , 41068 , 50300 , 47064 , 42003 , 47775 , 41917…
Are America's top chief executive officers (CEOs) really worth all that money? One way to answer this question is to look at row B, the annual company percentage increase in revenue, versus row A, the CEO's annual percentage salary increase in that same company. Suppose that a random sample of companies yielded the following data: Do these data indicate that the population mean percentage difference in corporate revenue (row B) is different from the population mean percentage increase in CEO salary? Use a 1% level of significance. (A) Are the data statistically significant at level α? Will you reject or fail to reject the null hypothesis? Since the interval containing the P-values has values that are larger than the level of significance, the data are not statistically significant and so we fail to reject the null hypothesis. (a)Since the interval containing the P-values has values that are larger than the level of significance, the data…
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball. A sports medicine researcher wants to test if female athletes are more likely to have an ACL injury than males. He surveyed 50 collegiate programs that had both men’s and woman’s volleyball and asked them how many grade 3 ACL tears they had during the past season. Which statistical test would be best to determine if there is a significant difference between groups?
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The Tokyo Marine Consultant wants to conduct a survey with the aim is to estimate banking and hospital service time. For this reason, observations are made on the waiting time data of each customer for one period which is obtained from the two business sectors. The sample data was taken randomly from 11 customers separately and independently from bank and hospital customers. The following data are the waiting times from 22 samples ofcustomers. Waiting Time (In minutes) Banking 9.66 5.9 8.02 5.79 8.73 3.82 8.01 8.35 10.1 6.6 5.6Hospital 4.21 5.55 3.02 5.13 4.77 2.34 3.54 3.2 4.5 6.1 0.3 a. Calculate the average and standard deviation of waiting time at banks and hospitals. b. Assuming the population variance is the same, determine the estimated limits of the difference between the average waiting time from the survey results from the survey with a significance level of 5%?c. Do the same thing…
A researcher was interested in comparing the mean grade-point-average (GPA) of students at the University of Toronto Scarborough and Mississauga campuses. Independent random samples of 8 students from the Scarborough campus and 13 students from the Mississauga campus yielded the following GPAs. You can assume the data in each group follow a normal distribution. Do the data provide sufficient evidence to conclude that the mean GPA of students at the Scarborough campus different from the mean GPA of students at the Mississauga campus? A. What statistical test is most appropriate to answer this question? B. Identify the relevant assumptions and conditions. State how these have or have not been met. C. Write an appropriate null and alternative hypothesis for this question.
we look at a random sample of 1000 united flights in the month of December comparing the actual arrival time to the scheduled arrive time. computer output of the descriptive statistics for the difference in actual and expected arrival time of these 1000 flights are shown below : N=1000 Mean =4.06 St Dev. = 45.4 SE Mean =1.44 Min= -35 Q1 = -14 Median = -5 Q3 =9 Max =871 what is the sample mean difference in actual and expected arrival times? what is the standard deviation of the difference ? x bar = and s= ?
IS IT REASONABLE TO ASSUME THIS SAMPLE CAME FROM A NORMAL POPULATION?
Is there a difference in the satisfaction rating of traditional cellphone providers who bill for service at the end of a month often under a contract and prepaid cellphone service providers who bill in advance without a contract? The accompanying table contains the satisfaction rating for 10 traditional cellphone providers and 13 prepaid cellphone service providers. What other assumption is necessary in (a)? A. Since the sample sizes are both less than 30, it must be assumed that the samples are specifically chosen and not independently sampled. B. Since the sample sizes are both less than 30, it must be assumed that the sample sizes are equal. C. Since the sample sizes are both less than 30, it must be assumed that the sample variances are equal. D. Since the sample sizes are both less than 30, it must be assumed that both sampled populations are approximately normal. Assuming that the population variances from both types of cellphone providers are equal,…
2. Interpret this data.

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