Example 19.14 A company manufacturing electronic toys has recently been taken over by another com-Prior to the takeover of the company, certain workers were approached to ascertain their satisfac-tion levels. The same workers were again approached to know their satisfaction level after the takeoverof the company. The two sets of data are given below.pany. 76826575648770697358Before756375826871658568After65Using an appropriate test, find out whether there has been an improvement in the satisfaction levelof workers after the takeover of their company by a new company.

Answered: Image /qna-images/answer/4ec78655-0719-4413-9658-a18f80c9d3bd.jpg

Answered: Example 19.14 A company manufacturing…

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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2. A psychologist was looking at the effects of an intervention on depression levels. Three groups were used: waiting list control, treatment and post treatment (a group who had had the treatment 6 months before). The change in depression levels over the time of the treatment were recorded (although bear in mind only the treatment group actually got any treatment during this time). The SPSS output is below; based on this output what should the researcher conclude?
ANOVA. Dr. Milgramm is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results. Group 1) “Like a lot” Mean: 8 SS: 2 N: df: Group 2) “Like somewhat” Mean: 5 SS: 6 N: df: Group 3) “Dislike a lot” Mean: 2 SS: 4 N: df: Grand Mean: df Within-Group:__________ df Between-Groups:___________ Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22) for Group 2: ___________ Estimated…
A researcher wants to investigate whether single people who own pets are happier than singles without pets. A mood inventory is administered to a group of 20-29 years old non-pet owners and a similar age group of pet owners. The pet owners are also matched one one one with non-pet owners for income, number of close friends, and general health. The data are as follows: Non-pet owner pet owner 10 15 9 9 11 10 11 19 5 17 9 15 is there a significant difference in the mood scores for non-pet owners and pet owners?
5. The overnight shipping business has skyrocketed in the last ten years. The single greatest predictor of a company's success is customer service. A study was conducted to determine the customer satisfaction levels for one overnight shipping business. In addition to the customer's satisfaction level, the customers were asked how often they used overnight shipping. The results are shown below in the following table: Satisfaction level Frequency of Use 5 per month TOTAL High 250 Low Medium TOTAL 400 140 10 5. 5. 55 200 140 100 25 70 20 700 220 460 A customer is chosen at random. Given that the customer uses the company two to five times per month, what is the probability that the customer expressed medium satisfaction with the company?
car manufacturer is concerned about poor customer satisfaction at one of its dealerships. The management decides to evaluate the satisfaction surveys of its next 60 customers. The dealership will be fined if the number of customers who report favorably is between 42 and 49. The dealership will be dissolved if fewer than 42 customers report favorably. It is known that 72% of the dealership’s customers report favorably on satisfaction surveys. [You may find it useful to reference the z table.] a. What is the probability that the dealership will be fined? (Round final answer to 4 decimal places.) b. What is the probability that the dealership will be dissolved? (Round final answer to 4 decimal places.)
A sample of purchasing managers was selected to determine information concerning buying behaviour. Among the questions asked was "Do you enjoy your role in the organization?" The results are presented in the following table. What should X be in order to conclude that whether a manager enjoys his/her role in the organization is independent of the gender of the manager? Your answer is 1 Gender Male Female Yes X 270 No 20 60
A researcher is interested in the relationship between age and golf performance. The researcher claims that golf performance improves with age, that is, as one gets older, his or her golf scores decrease. [In golf, a low score represents better performance; a higher score represents worse performance.] The researcher randomly selects a group of eight golfers at the local golf course and records their ages and their most recent golf score. The data that were collected are presented below: Golfer's Name Diego Tiger Bogart Marilyn Jennifer Mitch Bubba Amber Age (years) Variable 1 23 14 38 43 49 36 72 Golf Score Variable 2 92 112 77 84 81 72 79 86 Which of the following are the correct statements of the null and alternate hypotheses, Ho and HA? O Ho: M₁ M₂ and HA: H1 H₂
On-Time Performance by Airlines According to the Bureau of Transportation statistics, on-time performance by the airlines is described as follows: Action % of time On time 70.8 National Aviation System delay 8.2 Aircraft arriving late 9.0 Other (because of weather andother conditions) 12.0 Records of 200 flights for a major airline company showed that 147 planes were on time; 25 were delayed because of weather, 15 because of a National Aviation System delay, and the rest because of arriving late. At a=0.025, do these results differ from the government's statistics? Find the critical value. Round the answer to at least three decimal places Compute the test value. Round the intermediate and final answer to at least three decimal places. X2= Make the decision. ▼(Choose one) the null hypothesis. Summarize the results.
Mr. James, president of Daniel-James Financial Services, believes that there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, he gathered the following information from a sample of clients for the last month. Let X represent the number of times that the client was contacted and Y represent the valye of sales ($1000) for each client sampled. Number of Contacts (X) Sales ($1000) 14 24 12 14 20 28 16 30 23 30 b) compute the correlation coefficient and coeffcient of determination. Interpret the coefficients.
Numerous studies have shown that watching too much television hurts children’s school grades. Others have argued that television is not necessarily a bad thing for children (Mail Online; July 2009). Like books and stories, television not only entertains, it also exposes a child to new information about the world. While watching too much TV is harmful, a little bit may actually help. Suppose a researcher gathers information on the grade point average (GPA) of 28 middle school children and the number of hours of TV they watch per week. GPA Hours TV 3.24 19 3.1 21 3.24 18 2.61 30 3.03 23 3.37 10 1.6 36 3.2 10 2.96 13 2.18 31 2.5 33 2.95 4 2.72 25 3.05 21 3.45 8 2.49 27 3.62 11 2.33 29 2.36 30 3.28 10 3.35 15 2.64 18 2.88 24 2.02 29 2.6 22 3.18 21 3.31 4 a. Estimate a quadratic regression model where the GPA of…
A marketing firm is doing research for an Internet-based company. It wants to appeal to the age group of people who spend the most money online. The company wants to know if there is a difference in the mean amount of money people spend per month on Internet purchases depending on their age bracket. The marketing firm looked at two age groups, 1818-2424 years and 2525-3030 years, and collected the data shown in the following table. Let Population 1 be the amount of money spent per month on Internet purchases by people in the 1818-2424 age bracket and Population 2 be the amount of money spent per month on Internet purchases by people in the 2525-3030 age bracket. Assume that the population variances are not the same. Internet Spending per Month 1818-2424 Years 2525-3030 Years Mean Amount Spent 62.4962.49 62.8462.84 Standard Deviation 20.0420.04 15.6415.64 Sample Size 1616 2828 Step 1 of 2 : Construct a 95%95% confidence interval for the true difference…
An auctioneer of antique Iranian rugs kept records of his weekly auctions in order to determine the relationships among price, age of carpet or rug, number of people attending the auction, and the number of times the winning bidder had previously attended his auctions. He felt that, with this information, he could plan his auctions better, serve his steady customers better, and make a higher overall profit for himself. The results shown in the accompanying table were obtained.

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