CompanyEnd of 1st QuarterBeginning of YearBank of New York25.1318.51Kraft Foods39.6134.66Dupont54.5043.88Consolidated Edison61.1260.73Johnson & Johnson67.4664.08Union Pacific109.18103.94Comcast32.5122.41Applied Materials13.559.61Pfiser44.8139.22General Electric22.4716.21AT&T32.4328.84Cisco Systems22.2516.18Home Depot51.4139.24JP Morgan Chase48.3831.55Procter & Gamble69.5165.21Verizon40.5338.92Devon Energy72.8259.60Lilly41.4739.86Microsoft34.5623.76Coco Cola75.9168.87Qualcomm70.2653.00Exxon Mobil89.5382.56Pacific Gas & Electric24.2519.14Oracle Systems31.0623.08Chevron109.51104.60 The price per share of stock for a sample of 25 companies was recorded at the beginning of 2012 and then again at the end of the 1st quarterof 2012. How stocks perform during the 1st quarter is an indicator of what is ahead for the stock market and the economy. The sample dataare provided in the Excel Online file below. Construct a spreadsheet to answer the following questions.XOpen spreadsheeta. Letdi denote the change in price per share for company i whered;1st quarter of 2012 price per share minus the beginning of 2012 price per share. Use the sample mean of these values to estimate thedollar amount a share of stock has changed during the 1st quarter$ 7.06(to 2 decimals)b. What is the 95% confidence interval estimate of the population mean change in the price per share of stock during the first quarter?Interpret this result.Standard deviation (to 2 decimals): .04Confidence interval (to 2 decimals): ( 1.6729.35The mean price per share has increase between% and% over the three-month period (to 1 decimal).

company End of 1st Quarter Beginning of Year Bank of New York 25.13 18.51 Kraft Foods 39.61…

Answered: ods 39.61 34.66 Dupont 54.50 43.88…

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 table shows the annual compensation of 40 randomly chosen CEOS (millions of dollars). Saved 5.12 1.81 17.55 18.07 194.40 24.11 6.06 12.84 24.08 6.56 15.81 87.73 8.63 2.58 2.71 25.37 13.12 4.10 25.99 15.46 5.69 11.02 4.25 37.30 18.31 5.49 6.05 14.04 21.08 8.94 1.74 5.43 6.27 2.78 0.74 8.54 4.81 3.34 1.61 4.50 picture Click here for the Excel Data File (a) Select the correct histogram for the above data. Histogram A Histogram B Histogram 35 Histogram C Histogram 30 35 Histogram 25 30 40 35 20 25 30 15 20 25 15 20 10 15 10 0. 20 40 120 20 40 60 Compensation 120 60 80 180 20 Compensation 100 140 Compensation O Histogram A O Histogram B O Histogram C (b) Describe the shape of the histogram. Type here to search 83% Percent 10 09 08 180 Percent 80 140 Percent 120 180
A B C 7.98 5.09 9.18 14.22 9.45 17.9 14.88 9.92 18.83 10.35 6.75 12.5 16.52 11.07 21.13 23.46 15.92 30.84 14.02 9.31 17.63 14.55 9.68 18.37 8.65 5.56 10.11 18.49 12.44 23.89 9.94 6.46 11.92 21.16 14.31 27.62 12.41 8.19 15.38 18.1 12.17 23.34 11.45 7.51 14.03 20.54 13.87 26.75 17.2 11.54 22.09 14.35 9.55 18.09 15.41 10.29 19.58 13.08 8.65 16.31 13.14 8.7 16.4 18.47 12.43 23.85 21.47 14.53 28.06 17.13 11.49 21.98 14.93 9.95 18.9 9.89 6.43 11.85 13.63 9.04 17.08 9.75 6.32 11.65 15.74 10.52 20.04 27.14 18.5 36
Price Lot size Trees Distance 105.4 41.2 24 42 91.2 44.8 5 71 183.3 21.3 72 43 93.8 43.9 58 14 207.5 57.7 52 12 130.9 33.4 78 26 162.3 31.4 65 51 18.8 27.4 22 0 80.5 26.2 68 83 38.3 40 57 76 71.3 47.6 53 35 55.5 31.6 36 26 85.7 21.6 23 24 110.5 36.3 48 98 85.1 47.2 61 59 78.3 30.5 41 55 27.2 41.8 1 60 70.9 20.6 20 33 101.4 35.3 38 75 133.3 40.1 68 0 117.7 35.6 24 41 49.7 20.6 16 77 49.6 22.4 32 86 83.2 45.8 77 19 81.3 29.4 40 0 152.5 51.7 60 34 112.2 27.2 0 16 37.1 37 50 49 130.2 38.9 48 63 39.1 32.5 25 45 81.9 34 12 0 24.6 35.8 16 34 101.9 32.9 44 42 117.6 46.4 62 48 148.8 51.9 59 39 60.2 28.9 0 66 43.7 35.2 57 77 113.1 30.4 70 78 38.1 38.3 24 62 89.2 49.2 61 0 3 21.5 46 83 55.8 41.9 10 69 89.7 21.8 79 62 136.1 66.3 56 34 44.7 28.2 73 77 63.2 41.9 64 65 163.4 46.7 69 27 64.1 32.1 12 0 98.7 38.5 59 77 139.9 27.6 0 0 92 47 65 37 66.6 20.7 24 51 16.4 34 12 75 131.9 31.9 76 63 11…
The store manager of a business that sells jackets is curious if the weather temperature (in degrees Celsius) per day is related to the daily sales (in pesos) earned by the store. He took some random samples and recorded the temperatures and sales for the selected days, which can be found in the next slide. Calculate the correlation coefficient and interpret the result.
What is the confidence level of each of the following confidence intervals for u? Complete parts a through e. Click the icon to view the table of normal curve areas. a. x+1.96 % (Round to two decimal places as needed.) b. x+1.645 % (Round to two decimal places as needed.) c. X+2.575 % (Round to two decimal places as needed.) d. x+1.282 % (Round to two decimal places as needed.) e. x+0.99 % (Round to two decimal places as needed.)
Following are the quantities and prices for the years 2010 and 2018 for Kinzua Valley Geriatrics. Use 2010 as the base period. 2010 2018 Item Price Quantity Price Quantity Syringes (dozen) 6.22 1,220 6.64 1,065 Thermometers 8.54 12 15.64 10 Advil (bottle) 3.05 370 6.39 341 Patient record forms (box) 7.13 1,194 11.36 1,505 Copier paper (box) 12.27 33 14.56 58 d. Determine the Paasche price index. (Round your answer to 2 decimal places.) e. Determine Fisher's ideal index. (Round your answer to 2 decimal places.)
4.764.724.744.554.914.744.784.714.804.784.784.754.794.824.914.834.684.744.704.804.704.764.704.834.934.744.844.824.764.774.724.784.834.754.744.684.844.714.714.764.664.784.734.744.924.774.804.794.864.644.784.704.754.784.764.834.664.774.834.784.694.814.684.784.884.724.854.854.814.744.804.824.844.704.854.704.814.724.794.63 What is the mean, median, and mode? (you may want to use your calculator or the average and median functions in Excel!) What could be some reasons for variation in the weights of the Kisses®? Note: Take time answering this one. There are lots of things to consider here and I'll be looking for a well thought out answer with several given reasons contributing to the variation. Of course, the wrappers and tags could vary but what about the drops of chocolate themselves? Why aren't they all the same? Would you say that there are any two Kisses that have exactly the same weight? (I mean exactly the same weight!) Explain why or why not. How many Kisses® were there in the…
The following information is taken from Johnson & Johnson's annual reports. Its common stock is listed on the New York Stock Exchange, using the symbol JNJ. Year 2016 2017 2018 2019 2020 Year 2016 2017 Johnson & Johnson 2018 2019 2020 Domestic Sales International ($ million) Sales (5 million) 34,079 36,587 39,697 37,811 39,863 41,884 39,962 43,133 42,097 39,451 Click here for the Excel Data File Using the period 2016 to 2017 as the base period, compute a simple index of domestic sales for each year from 2018 to 2020. Note: Round your answers to 2 decimal places. The index (2016 to 2017= 100) for selected years is: Simple Index Employees (thousands) 126.4 134.0 135.1 132.2 135.5
Household Paper Plastic 1 15.09 9.11 2 16.39 9.7 3 6.33 3.86 4 9.45 3.02 5 6.98 2.65 6 8.72 9.2 7 11.42 12.81 8 6.67 6.09 9 6.16 5.88 10 16.08 14.36 11 13.61 8.95 12 11.08 12.47 13 9.41 3.36 14 6.44 8.4 15 12.43 8.57 16 7.98 6.09 17 3.27 0.63 18 13.31 19.7 19 7.72 3.86 20 12.73 14.83 21 6.96 7.6 22 17.65 11.26 23 14.33 6.43 24 2.8 5.92 25 9.83 6.26 26 9.55 9.2 27 11.36 10.25 28 7.57 5.92 29 12.32 11.17 30 20.12 18.35
AaBb AaBbCcDdl Heading 1 Heading 2 Normal Title No Spacing Company Actual Estimated 0.38 2.31 AT&T 1.29 American Express Citigroup Coca-Cola Dupont Exxon-Mobil General Electric Johnson & Johnson McDonald's Wal-Mart 2.01 2.59 1.60 3.43 1.78 2.18 1.84 2.19 1.71 2.72 1.51 2.28 2.18 0.77 1.55 1.81 1.74 Total 18.42 19.45 Difference: 1.03 Use a level of significance of .05 and test for any difference between the population mean actual and population mean predicted earnings per share. What is the p-value? What is a. your conclusion? What is the point estimate of the difference between the two means? Did the analysts tend to underestimate or over estimate the earnings? b. At 95% confidence, what is the margin of error for the estimate in part b? What would you recommend based on this information? 8. English (United States) Focus 26 IG MacBook Air 20 F3 F2 F4 F5 F6 F7 F8 F9 F10 F11 23 & 4 8. 9.
The table shows the annual compensation of 40 randomly chosen CEOS (millions of dollars). 5.54 1.88 17.40 15.42 12.03 13.03 25.31 25.19 25.79 20.28 20.74 7.31 7.45 6.23 4.61 6.44 13.90 10.15 9.10 8.15 8.94 5.82 192.84 84.66 25.86 33.46 2.61 2.66 1.22 3.95 15.58 4.79 3.71 4.56 4.33 4.33 4.79 2.06 0.93 1.29 Click here for the Excel Data File (a) Select the correct histogram for the above data. Histogram A Histogram B Histogram C Histogram 40 Histogram 35 40 Histogram 30 35 40 25 30 35 20 25 30 15 20 25 10 15 20 10 15 10 5 180 Compensation 120 180 120 140 160 180 Compensation Compensation O Histogram A O Histogram B O Histogram C (b) Describe the shape of the histogram. O The distribution is skewed to the right. O The distribution is symmetric. O The distribution is skewed to the left. ( Prev 5 of 19 Next > Percent Percent 140 091 Percent

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Company	End of 1st Quarter	Beginning of Year
Bank of New York	25.13	18.51
Kraft Foods	39.61	34.66
Dupont	54.50	43.88
Consolidated Edison	61.12	60.73
Johnson & Johnson	67.46	64.08
Union Pacific	109.18	103.94
Comcast	32.51	22.41
Applied Materials	13.55	9.61
Pfiser	44.81	39.22
General Electric	22.47	16.21
AT&T	32.43	28.84
Cisco Systems	22.25	16.18
Home Depot	51.41	39.24
JP Morgan Chase	48.38	31.55
Procter & Gamble	69.51	65.21
Verizon	40.53	38.92
Devon Energy	72.82	59.60
Lilly	41.47	39.86
Microsoft	34.56	23.76
Coco Cola	75.91	68.87
Qualcomm	70.26	53.00
Exxon Mobil	89.53	82.56
Pacific Gas & Electric	24.25	19.14
Oracle Systems	31.06	23.08
Chevron	109.51	104.60

ods 39.61 34.66 Dupont 54.50 43.88 Consolidated Edison 61.12 60.73 Johnson & Johnson 67.46 64.08 Union Pacific 109.1