Big salary for the boss: Following is the total compensation, in millions of dollars, for Chief Executive Officers at 17 large U.S. corporations, along with aboxplot of the data.9.15 2.32 23.84 13.12 9.91 6.39 2.194.28 3.18 2.754.646.05 6.596.5911.318.20 25.84 2.85Part 1 of 2ontinueIt is notPart: 1/2Part 2 of 21520Is it reasonable to assume that the conditions for constructing a confidence interval for the mean compensation are satisfied? Explain.▾ reasonable to assume the conditions are satisfied.2530XSIt is not reasonable to assume the conditions are satisfied because the sample (Choose one) contain an outlier.XS0.00Submi

Let X denote the total compensation, in millions of dollars, for Chief Executive Officers at 17…

Answered: Big salary for the boss: Following is…

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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Charlie Corporation's managers in the stamping department have been studying the overhead cost and the relationship with machine hours. The following are data from the most recent 12 months. Month Overhead Machine hours January 5,030 2,730 February 1,600 600 March 7,210 3,403 April 4,560 2,200 May 6,880 3,411 June 6,520 2,586 July 6,230 3,364 August 5,570 2,411 September 7,728 3,960 October 5,810 2,897 November 4,580 2,207 December 6,010 2,864 The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: a severe flue outbreak and an electrical fire that disrupted operations for about 10 working days. Required: c. Using the least square (regression) analysis, compute the fixed cost. d. Using the least square (regression) analysis, how much are the estimated overheads for…
All companies are rightly concerned about the income disparity between Males and Females and FringeTech is no different. Is there any evidence in the data that Males are earning more than Females on average? Gender Income ($000) F 94.1 F 69.4 F 81.7 F 72.1 F 90.1 F 84.4 F 77.5 F 124 F 71.2 F 72.1 F 75.7 F 79.8 F 76.7 F 65.1 F 83.8 F 85.8 F 70.6 F 93.3 F 80.1 F 80.8 F 85.5 F 62.1 F 88.5 F 88.2 F 110.3 F 124.6 F 97.6 F 82.4 F 58.2 F 75.5 F 75.1 F 70.5 F 83.9 F 95.5 F 150.2 F 84.4 F 88.7 F 135.4 F 72.3 F 65.5 F 80.3 F 136.8 F 75.8 F 47.5 F 86.6 F 64.4 F 99.3 F 40 F 69.1 F 107.7 F 74.7 F 90.3 F 82.2 F 97 F 125.3 F 111.1 F 60.4 F 102.7 F 89 F 69.4 F 61.6 F 93.1 F 87.2 F 67.7 F 130.6 F 83.2 F 50.4 F 132.7 F 69.1 F 103.6 F 80.2 F 73.9 F 56.3 F 130.2 F 80.7 M 83.1 M 95.4 M 128.2 M 127.3 M 96.8 M 94 M 125.5 M 107.2 M 92.4 M…
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 manager of Hudson Auto Repair would like to get a better picture of the distribution of costs for new parts used in the engine tune-up jobs done in the garage. A sample of 50 customer invoices for tune-ups has been taken and the costs of parts, rounded to the nearest dollar, are listed below. 91 78 93 57 75 52 99 80 73 62 71 69 72 89 66 75 79 75 72 76 104 74 62 68 97 105 77 65 80 109 85 97 88 68 83 68 71 69 67 74 62 82 98 101 79 105 79 69 62 73 Develop a frequency distribution for these cost data. Use your own judgment to determine the number of classes and class width that provide a distribution that will be meaningful and helpful to the manager. a. Develop a stem-and-leaf display showing both the rank order and shape of the data set. (3) b. Develop a stretched stem-and-leaf display using two stems for each leading digit(s). (2) c. Which display is better at revealing the natural grouping and variation in the data? (1)
3. Calculate mean and median of the following. Income (Rs) 10-20 20-30 30-40 40-50 50-60 60–70 No. of workers: 15 20 20 10 5
Suppose we have the following data available for the average number of hours spent in the Santa Fe College Math lab. Male Female 1.50 0.75 1.20 0.82 1.30 0.91 1.05 0.84 0.75 0.59 0.80 1.02 1.00 1.90 0.95 2.10 0.925 2.20 2.50 2.50 3.00 3.50 3.50 2.20 4.01 1.80 Use Data Displays to comment on the shape of the distribution, measures of center and spread, possible skew, and outliers for both genders. (Hint: Use as many displays as needed.)
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
It’s all in one question
The following data, taken from 8 towns in Alberta, are the percentage of residents who are university graduates and the median household incomes (in $ 1000's) for all households in each town. Graduates (%) Median Income ($ 1000) 47.6 34.1 31.5 41.3 34.5 28.1 23.1 20.4 61.7 50.9 57.1 56.4 42.8 42.1 33.2 19.2 Use two-decimal places in your answers. 4 (a) State the slope term and the Y -intercept term of the least squares regression line which attempts to predict the median income of a town in Alberta based on its linear relationship with the percentage of residents who are university graduates. (b) Find the correlation coefficient. (c) As the percenage of university graduates increases by 10%, the median income will change (in $ 1000s) by (make sure you include the positive or negative sign) (d) What percentage of the variation in the variable Median Income is not explained by its linear relationship to the variable Percentage of University Graduates? Use at least one place after the…
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
Jobs and productivity! How do retail stores rate? One way to answer this question is to examine annual profits per employee. The following data give annual profits per employee (in units of 1 thousand dollars per employee) for companies in retail sales. Assume o = 3.8 thousand dollars. 4.5 6.7 3.8 8.5 7.8 5.4 8.4 6.5 2.6 2.9 8.1 -1.9 11.9 8.2 6.4 4.7 5.5 4.8 3.0 4.3 -6.0 1.5 2.9 4.8 -1.7 9.4 5.5 5.8 4.7 6.2 15.0 4.1 3.7 5.1 4.2 (a) Use a calculator or appropriate computer software to find x for the preceding data. (Round your answer to two decimal places.) thousand dollars per employee (b) Let us say that the preceding data are representative of the entire sector of retail sales companies. Find an 80% confidence interval for u, the average annual profit per employee for retail sales. (Round your answers to two decimal places.) lower limit thousand dollars upper limit thousand dollars (c) Let us say that you are the manager of a retail store with a large number of employees. Suppose the…
A sample of 35 liberal-arts graduates yielded the following starting annual salaries. Data are in thousands of dollars, rounded to the nearest hundred dollars. 49.0 45.8 50.3 49.6 50.0 47.7 51.8 47.3 46.7 47.0 48.1 50.1 43.6 48.0 47.7 49.8 46.4 46.1 48.5 48.9 48.2 48.1 46.2 47.3 51.7 49.0 48.2 49.9 48.1 49.8 49.5 50.4 45.3 45.3 46.5 Construct a stem-and-leaf plot on a separate sheet of paper and answer the following questions based on your plot. a) Yes or No, the stems range from 43 to 51, inclusive. b) Yes or No, The stem 44 has no values associated with it. c) Yes or No, There are no commas in my stem and leaf plot. c) What is the shape of the distribution?

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