2. Management training programs are often instituted to teach supervisory skills and therebyincrease productivity. Suppose a university psychologist administers a set of examination toeach of 10 graduating students before such training program begins and then administerssimilar examinations at the end of the program. Examinations are designed to measuresupervisory skills, with highest scores indicating increased skills. The results are shown below:StudentBefore TrainingAfter Training163782939238491472805TI656967285791998848297181108087Do the data provide evidence that the training program is effective in increasing supervisoryskills, as measured by the examination scores? Use 0.10 significance level. (critical value =+1.383)

Solution: Let X: Score before training Y:Score after training di=Y-X=difference in scores Here the…

Answered: 2. Management training programs are…

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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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…
2. A researcher conducts a study examining the effectiveness of a group exercise program at an assisted living facility for elderly adults. One group of residents is selected to participate in the program, and a second group serves as a control. After 6 weeks, the researcher records a combined score measuring balance and strength for each individual. The data are as follows: Control n = 10 M = 12 SS = 120.5 Exercise n = 15 M = 15.5 SS = 190.0 Conduct the four steps for hypothesis testing and label a. Use a two-tailed test with a = .05. each step: Step1, Step 2, Step 3, and Step 4. b. Calculate Cohen's d. c. Are the data sufficient to conclude that thier is a significant difference? Write your answer in the form of a sentence.
Government economic studies reveal that young adults, not middle-aged or older adults, are having the most difficult time in today’s economy. Although the nation’s labor market shows a decline in the unemployment rate, the percentage of young adults, ages 18 to 24, currently employed (54 percent) is at the lowest level since the government data collection began in 1948. If you were working for a national survey organization doing a general public survey of young adults and older adults, what topics and questions would you design into your survey to elaborate on this finding?
The following data represent the monthly phone use, in minutes, of a customer enrolled in a fraud prevention program for the past 20 months. The phone company decides to use the upper fence ad the cutoff point for the number of minutes at which the customer should be contacted. What is the cutoff point?
The data below represents international sales versus Canada sales for the McDonalds's Chain. Year Canada Sales International Sales 1987 7.6 2.3 1988 7.9 2.6 1989 8.3 2.9 1990 8.6 3.2 1991 8.8 3.7 1992 9.0 4.1 1993 9.4 4.8 1994 10.2 5.7 1995 11.4 7.0 1996 12.1 8.9 Required: Regress McDonald's international sales then answer the questions: a. What is the regression model? b. Interpret your results Type your numeric answerand submit
A researcher wants to study the relationship between salary and gender. She randomly selects 392 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000$⁢25,000 48 45 93 $25,000$⁢25,000-$50,000$⁢50,000 38 36 74 $50,000$⁢50,000-$75,000$⁢75,000 46 40 86 Above $75,000$⁢75,000 68 71 139 Total 200 192 392 State the conclusion of the hypothesis test at the 0.010.01 level of significance.
Apperson and Fitz is a chain of clothing stores that caters to high school and college students. It publishes a quarterly catalog and operates a Web site that features provocatively attired males and females. The Web site is very expensive to maintain, and company executives are not sure whether the number of hits at the site relate to sales (i.e., people may be looking at the site’s pictures only). The Web master has accumulated the following data for hits per month and orders placed at the Web site for the past 20 months: Develop a linear regression model for these data and indicate whether there appears to be a strong relationship between Web site hits and orders. What would be the forecast for orders with 50,000 hits per month?
You are a manager for Company ABC and decide to compile data and analyze your employees’ level of satisifaction. You create a survey to ask each employee to rate their level of satisfaction working at Company ABC. Table 1 shows data of 15 people employees that responded to your survey. Each of the employees have the same job title: Sales Representative. The data set includes variables regarding an employee ID, gender, ethnicity, region, pay rate, employee satisfaction rating. Each employee was asked to rate their level of satisfaction working at Company ABC. A composite score from 0 (lowest) to 5 (highest) is shown as the data variable employee satisfaction. Table 1: Employee Data on 15 Sales Representatives at Company ABC
The price per share of stock for a sample of 25 companies was recorded at the beginning of the first financial quarter and then again at the end of the first financial quarter. How stocks perform during the first financial quarter is an indicator of what is ahead for the stock market and the economy. Company End of 1st quarter Beginning of 1st quarter Bank of New York Mellon 54.19 53.82 Kraft Foods 55.70 77.02 E.I. du Pont de Nemours and Company 102.57 109.00 Consolidated Edison 79.95 83.58 Johnson & Johnson 126.01 139.23 Union Pacific 132.73 135.78 Comcast 32.06 41.07 Applied Materials 50.91 53.04 Pfizer 35.40 36.44 General Electric 14.05 17.98 AT&T 32.54 38.54 Cisco Systems 44.83 38.86 Home Depot 184.63 188.03 JP Morgan Chase 108.78 107.95 Procter & Gamble 71.96 90.65 Verizon 48.82 53.53 Devon Energy 36.20 42.23 Lilly 79.07 84.68 Microsoft 95.00 85.95 Coca Cola 42.59 45.59 Qualcomm 50.82 65.20 Exxon Mobil Corporation 76.95…

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