Refer to Table 7-3. Cross out salaries for Company F and Company G. What is mean and median for the set of Companies A through E? TABLE 7-3 Raw Compensation Survey Data for Accountantsin Atlanta, GeorgiaCompanyJob TitleAnnual Salary ($)AAccountant I33,000AAccountant I34,500AAccountant II36,000AAccountant III43,500ВAccountant I33,000BAccountant I33,000Accountant I36,000ВAccountant II37,500ВAccountant I36,000BAccountant II37,500ВAccountant III45,000ВAccountant III43,500CAccountant I34,500CAccountant II37,500CAccountant III43,500DAccountant I36,000DAccountant I36,000DAccountant III55,000EAccountant I33,000EAccountant I33,000EAccountant I34,500EAccountant II36,000EAccountant II36,000EAccountant II37,500EAccountant III45,000FAccountant I34,500FAccountant II37,500FAccountant III45,000FAccountant III45,000FAccountant III43,500GAccountant I34,500GAccountant I33,000Accountant II37,500GAccountant II37,500GAccountant III43,500

Given information: Salaries A 33000 A 34500 A 36000 A 43500 B 33000 B 33000 B…

Answered: Cross out salaries for Company F and…

Math

Statistics

Cross out salaries for Company F and Company G. What is mean and median for the set of Companies A through E?

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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Table #7.3.8: Economic Dynamism of Middle Income Countries 25.8057 37.4511 51.915 43.6952 47.8506 43.7178 58.0767 41.1648 38.0793 37.7251 39.6553 42.0265 48.6159 43.8555 49.1361 61.9281 41.9543 44.9346 46.0521 48.3652 43.6252 50.9866 59.1724 39.6282 33.6074 21.6643 7.3.8 Maintaining your balance may get harder as you grow older. A study was conducted to see how steady the elderly is on their feet. They had the subjects stand on a force platform and have them react to a noise. The force platform then measured how much they swayed forward and backward, and the data is in table #7.3.10 ("Maintaining balance while," 2013). Do the data show that the elderly sway more than the mean forward sway of younger people, which is 18.125 mm? Test at the 5% level. Table #7.3.10: Forward/backward Sway (in mm) of Elderly Subjects 19 30 20 19 29 25 21 24 50
Would you include ros in a final model explaining CEO compensation in terms of firm performance?
Table 2 Department Mean SD CoefVar Min Q1 Median Q3 Max IQR Skewness Finance 6.052 3.874 64.01 1.630 3.393 4.585 7.500 22.860 4.107 2.00 HR 5.441 3.235 59.45 2.000 3.200 4.100 6.430 21.860 3.230 1.24 IT 5.880 3.887 66.10 0.530 3.250 4.630 6.8 24.980 3.550 2.18 Marketing 6.010 3.737 62.18 1.670 3.475 5.000 6.645 22.200 3.170 2.14 Training 6.095 3.719 61.02 1.500 3.330 5.000 7.640 20.000 4.310 2.00 CoefVar stands for coefficient of variation graph (1) The company has hired you to answer the following questions: Do you think that the salaries in the departments are skewed, justify your answer with proper measure from table (2).
Incomes, rounded to the nearest $1,000, from 2 different socioeconomic groups of 10 members each were collected and are presented below. GROUP 1 INCOME GROUP 2 INCOME Member 1 $25,000 Member 1 $27,000 Member 2 $29,000 Member 2 $38,000 Member 3 $18,000 Member 3 $45,000 Member 4 $31,000 Member 4 $41,000 Member 5 $22,000 Member 5 $36,000 Member 6 $22,000 Member 6 $24,000 Member 7 $12,000 Member 7 $62,000 Member 8 $33,000 Member 8 $41,000 Member 9 $45,000 Member 9 $39,000 Member 10 $38,000 Member 10 $48,000 Which is the best measure of central tendency for these groups? a) The mode b) The mean c)…
Nas corporation's manager in the stamping department have been studying the overhead cost and the relatioship machine hours. 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…
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?
Earnings and Height Earnings Height Sex 84004.75 59 0 84075.75 59 0 7822.854004 59 0 84110.75 59 0 84098.75 60 0 44138.16016 60 0 17116.26367 60 0 84070.75 60 0 84058.75 60 0 84089.75 60 0 38917.33594 60 0 33729.96875 60 0 44165.16016 61 0 33715.96875 61 0 49407.10938 61 0 84118.75 61 0 33613.96875 61 0 28509.38672 61 0 44145.16016 61 0 84033.75 61 0 44218.16016 61 0 33661.96875 61 0 84025.75 61 0 84117.75 61 0 28601.38672 61 0 33784.96875 61 0 49462.10938 61 0 33632.96875 62 0 18198.8418 62 0 44153.16016 62 0 83967.75 62 0 83994.75 62 0 44121.16016 62 0 83961.75 62 0 10807.42871 62 0 83980.75 62 0 23410.87305 62 0 38952.33594 62 0 84014.75 62 0 83979.75 62 0 84043.75 62 0 23369.87305 62 0 44170.16016 62 0 84056.75 62 0 44205.16016 62 0 84100.75 62 0 84116.75 62 0 23388.87305 62 0 23400.87305 63 0 49370.10938 63 0 9938.505859 67 1 84063.75 67 1 23422.87305 67 1 38867.33594…
Consider the following monthly revenue data for an up-and-coming cyber security company.Sales Data Month Revenue (Thousands of Dollars) Month Revenue (Thousands of Dollars) 11 326326 1010 816816 22 552552 1111 827827 33 535535 1212 846846 44 571571 1313 850850 55 636636 1414 849849 66 685685 1515 854854 77 700700 1616 867867 88 705705 1717 875875 99 787787 1818 881881 The summary output from a regression analysis of the data is also provided.Regression Statistics Multiple R 0.9183542530.918354253 R Square 0.8433745340.843374534 Adjusted R Square 0.8335854420.833585442 Standard Error 63.399295263.3992952 Observations 1818 ANOVA dfdf SSSS MSMS FF Regression 11 346,295.581011346,295.581011 346,295.581011346,295.581011 86.1545245186.15452451 Residual 1616 64,311.53010064,311.530100 4019.4706314019.470631 Total 1717 410,607.111111410,607.111111 Coefficients Standard Error tt Stat P-value Intercept…
Dave Fletcher, the general manager of North Carolina Engineering Corporation (NCEC), thinks that his firm’s engineer-ing services contracted to highway construction firms are directly related to the volume of highway construction business contractedwith companies in his geographic area. He wonders if this is reallyso, and if it is, can this information help him plan his operationsbetter by forecasting the quantity of his engineering servicesrequired by construction firms in each quarter of the year? Thefollowing table presents the sales of his services and total amountsof contracts for highway construction over the past eight quarters: a) Using this data, develop a regression equation for predictingthe level of demand of NCEC’s services. b) Determine the coefficient of correlation and the standard errorof the estimate.
Table 1 Patterns of disease in Mainland Tanzania Age group (Years) # of people Total # of deaths # of deaths gastroenteritis # of deaths respiratory disease # of deaths heart disease 00-09 5,000 40 24 8 2 10-19 6,000 70 20 10 1 20-29 5,400 84 4 4 2 30--39 5,000 40 2 2 4 40-49 4,400 40 2 6 10 50-59 5,400 70 2 14 20 60-69 6,200 90 4 12 30 70-79 3,800 180 20 40 80 80+ 3,000 240 40 50 150 Local authorities in Mainland Tanzania are concerned about the health status of its community. A review of annual health statistics shows the following pattern of diseases. What is the ratio of deaths from gastroenteritis to heart disease in the total population, and in the 0-9 and 70-79 age groups respectively? What do you notice?…
The following data were taken from the annual reports of Big Bang Inc., a manufacturer of fireworks, and Orange Inc., a manufacturer of computers. Big Bang, Inc. Orange, Inc. Cost of goods sold $830,000 $11,540,000 Inventory, end of year 190,000 320,000 Inventory, beginning of year 240,000 290,000 What is the inventory turnover for Big Bang and Orange. a. Big Bang, Inc.: 3.86Orange, Inc.: 37.84 b. Big Bang, Inc.: 3.86Orange, Inc.: 9.65 c. Big Bang, Inc.: 94.55Orange, Inc.: 37.84 d. Big Bang, Inc.: 94.55Orange, Inc.: 9.65
Here are selected entries from the 2010 tax table that show the federal income tax owed by those married and filing jointly. The taxable income and the tax are both in dollars. Taxable income Tax 67,500 9291 67,600 9306 67,700 9321 67,800 9336 67,900 9351 68,000 9369 68,100 9394 68,200 9419 68,300 9444 68,400 9469 68,500 9494 68,600 9519 Over what two parts of this table is the tax T a linear function of the taxable income t? 67,500 ≤ t ≤ 68,200 and 68,300 ≤ t ≤ 68,600 67,500 ≤ t ≤ 68,100 and 68,200 ≤ t ≤ 68,600 67,500 ≤ t ≤ 68,000 and 68,100 ≤ t ≤ 68,600 67,500 ≤ t ≤ 67,900 and 68,000 ≤ t ≤ 68,600 67,500 ≤ t ≤ 67,700 and 67,800 ≤ t ≤ 68,600 Find formulas for both linear functions. (Let T be tax and t taxable income.) lower range T = 320t+58294 upper range T = Explain in practical terms what the slopes mean

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	Salaries
A	33000
A	34500
A	36000
A	43500
B	33000
B	33000
B	36000
B	37500
B	36000
B	37500
B	45000
B	43500
C	34500
C	37500
C	43500
D	36000
D	36000
D	55000
E	33000
E	33000
E	34500
E	36000
E	36000
E	37500
E	45000