A national study conducted by a market research firm, evaluated the top technology companies and their reputations. The followingshows how 10 technology companies ranked in reputation and how the companies ranked in percentage of respondents who saidthey would purchase the company's stock. A positive rank correlation is anticipated because it seems reasonable to expect that acompany with a higher reputation would have the more desirable stock to purchase.CompanyCompany ACompany BCompany CCompany DCompany ECompany FCompany GCompany HiCompany ICompany JHo: Ps ≤0Ha: Ps > 0O Ho: P₂ > 0H₂: Ps = 0Reputation Stock PurchaseO Ho: Ps+0Ha: Ps = 01O Ho: Ps 20Ha: Ps <02345678910314295106(a) Compute the rank correlation between reputation and stock purchase. (Round your answer to three decimal places.)'s = 0.709✓(b) Test for a significant positive rank correlation.State the null and alternative hypotheses.Ho: P₂ = 0Ha: Ps078Find the value of the test statistic. (Round your answer to two decimal places.)2.84XWhat is the p-value? (Round your answer to four decimal places.)p-value = 0.7090 X(c) At a = 0.05, what is your conclusion?O Do not reject Ho. There is sufficient evidence to conclude that there is a significant positive rank correlation betweena company's reputation and having stock that is desirable to purchase.O Do not reject Ho. There is not sufficient evidence to conclude that there is a significant positive rank correlationbetween a company's reputation and having stock that is desirable to purchase.O Reject Ho. There is sufficient evidence to conclude that there is a significant positive rank correlation between acompany's reputation and having stock that is desirable to purchase.O Reject Ho. There is not sufficient evidence to conclude that there is a significant positive rank correlation between acompany's reputation and having stock that is desirable to purchase.

Reputation:X Stock purchase:Y 1 3 2 1 3 4 4 2 5 9 6 5 7 10 8 6 9 7 10 8

Answered: A national study conducted by a market…

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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The Women’s Institutional Studies group at a Midwestern university wanted to compare the percentages of female faculty members in the various units on campus in Spring 2004. Of particular interest were the percentages of female faculty in the College of Education and in the College of Business . In a sample of 80 College of Education faculties, there were 36 females, and in a sample of 70 College of Business faculties, there were 15 females. Based upon this sample information, which of the following is the 98% confidence interval for the difference in the actual percentages of female faculty between College of Education and College of Business ? a. (0.075, 0.405). b. (0.123, 0.357). c. (-0.012, 0.252). d. (0.058, 0.422). e. (0.101, 0.379).
A real estate agency, located in a metropolitan area in the northeastern U.S., kept data on the various types of properties purchased in the area. Historically, 15% of purchases were for condominiums, 30% were for townhouses, 40% for single family homes, 10% for commercial properties and 5% for land. With changing demographics, the agency wondered if the current distribution matches the historical distribution. Recent data showed the following: Type of Property Condos Townhouses Homes Commercial Land Frequency 89 121 78 25 12 Based on the historical distribution, we would expect how many homes to be purchased? Question content area bottom Part 1 A. 130 B. 121 C. 129.95 D. 122.54 E. 100
A biologist is studying the composition of birds on a lake and counts 61 ducks, 17 geese, 11 cranes, 15 swans, and 6 herons. From previous studies performed around the same time of the year, she expects 50% of the birds to be ducks, 23% to be geese, 12% to be cranes, 10% to be swans, and 5% to be herons. What are the expected and observed counts? Select one. Expected = 55 ducks, 25 geese, 13 cranes, 11 swans, and 6 herons Observed = 61 ducks, 17 geese, 11 cranes, 15 swans, and 6 herons Expected = 61 ducks, 17 geese, 11 cranes, 15 swans, and 6 herons Observed 55 ducks, 25 geese, 13 cranes, 11 swans, and 6 herons %3D Expected = 55 ducks, 25 geese, 13 cranes, 11 swans, and 6 herons Observed = 55 ducks, 25 geese, 13 cranes, 11 swans, and 6 herons %3D %3D Expected = 61 ducks, 17 geese, 11 cranes, 15 swans, and 6 herons Observed = 61 ducks, 17 geese, 11 cranes, 15 swans, and 6 herons
The table below reveals the relative frequencies of students and how they get to and from school. Why is the lower right cell in this table 100%? is it because every row in this sort of table adds to 100? all of the other numbers in the table add to 100? it was just a lucky set of numbers that happened to add to 100? or because 100% represents all of the students who were included in the data set?
A case-control study was conducted to examine the association between lung cancer and smoking in men. The case group contains 500 patients, who were diagnosed with lung cancer. Five hundred age-matched patients were recruited as controls. The study found that 50% of cases were regular smoking and the proportion is 20% among controls. a. Create a 2x2 table based on the given information
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In a study examining the relation of math ability to the belief that math ability was innate, the belief was considered the predictor variable. The researcher hopes to find a correlation between the participants’ math ability and their belief that math ability is innate. The scores for the three participants are shown below. The group that believed that math is NOT innate scored 66, 70, 50. The group that believed that math IS innate scored 7, 4,10. Calculate, by hand, the correlation between these two variables. Is it positive or negative and is it a strong correlation?
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