52-52-VolNetWeek Week StockSYM Div Yld%PEHi100sLoCloseChangeHight Low73.25 45.44 Goodyear GT1.20 2.217591556.3854.3855.50+1.25Refer to the stock tables for Goodyear (the tire company) that is given below. Use the stocktable to answer the following questions. Where necessary, round dollar amounts to thenearest cent.e. What were the high and low prices for a share yesterday? Highlowf. What was the price at which a share last traded when the stock exchange closedyesterday?g. What was the change in price for a share of stock from the market close two days ago toyesterday's market close?

Answered: Image /qna-images/answer/a97fa0f5-df46-4290-b8c9-9b7ee0f639ce.jpg

Answered: 52- -7C Vol Net Week Week Stock SYM Div…

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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J. C. Penney Company, Inc. (JCP) and Macy’s, Inc. (M) are large department store chains in the United States. Information from recent annual reports for both companies is as follows (in millions): J. C. Penney Macy’s Cash (end of year) $119 $1,109 Short-term investments (end of year) 781 — Operating expenses 4,640 8,256 Depreciation expense 616 1,061 a. Determine the days’ cash on hand for each company. Round to one decimal place. J. C. Penney Macy’s Days’ Cash on Hand fill in the blank 1 days fill in the blank 2 days
43. The U.S. government wants to determine whetherimmigrants should be tested for a contagious disease,and it is planning to base this decision on financialconsiderations. Assume that each immigrant who isallowed to enter the United States and has the diseasecosts the country $100,000. Also, assume that eachimmigrant who is allowed to enter the United Statesand does not have the disease will contribute $10,000to the national economy. Finally, assume that x percentof all potential immigrants have the disease. The U.S.government can choose to admit all immigrants, admitno immigrants, or test immigrants for the diseasebefore determining whether they should be admitted. Itcosts T dollars to test a person for the disease, and thetest result is either positive or negative. A person who does not have the disease always tests negative. However, 10% of all people who do have the disease testnegative. The government’s goal is to maximize theexpected net financial benefits per potential…
A manufacturer of exercise equipment knows that 15% of their products aredefective. They also know that only 35% of their customers will actually use the equipment in the first year after it is purchased. If there is a one-year warranty on the equipment, what proportion of the customers will actually make a valid warranty claim?
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.
There is some evidence that, in the years 1981— 85, a simple name change resulted in a short-term increase in the price of certain business firms' stocks (relative to the prices of similar stocks). (See D. Horsky and P. Swyngedouw, "Does it pay to change your company's name? A stock market perspective," Marketing Science v.6 pp. 320— 35, 1987.) Suppose that, to test the profitability of name changes in the more recent market (the past five years), we analyze the stock prices of a large sample of corporations shortly after they changed names, and we find that the mean relative increase in stock price was about 0.76%, with a standard deviation of 0.12%. Suppose that this mean and standard deviation apply to the population of all companies that changed names during the past five years. Complete the following statements about the distribution of relative increases in stock price for all companies that changed names during the past five years. (a)According to Chebyshev's theorem,…
The stock numbers I chose - S&P 500: 4105.02 - Russell 2000: 1754.46 - NYSE Composite: 15379.13 - Barron's 400: 908.65 - CBOE Volatility: 18.40 - DJIA Futures: 33687 - DJIA: 33485.29 - Nasdaq Composite: 12087.97
In a staff meeting called to address the problem of returned cheques at the supermarkets where you areinterning as a financial analyst, the bank reports that 12 percent of all cheques are returned for insufficientfunds, and of those, in those 50 percent of cases, there was cash given back to the customer. overall ,10percent of customers ask for cash back at the end of their transaction with the store. For 1,000 customervisits, how many transactions will involve: (f) insufficient funds?(g) Cash back to the customer?(h) Both insufficient funds and cashback?(i) Either insufficient funds or cash back?
1.Thereis an athletic organization named Jingle Jangle plans to invest P100,000 tohost soccer game. They expect to sell tickets worth P1,500,000 .However, if itrains on the day of game, they won't sell any tickets and the organization willlose all the money invested. Will youconsider this a good investment, if the weather forecast on the day of game is20 percent possibility of rain?
2) . In February 2021, the Chicago Tribune reported:“The overdose epidemic that has ravaged Chicago has not spared the nearby suburbs, some of which have death rates comparable to anything seen in the city, according to a report released this week by the Cook County Department of Public Health. ZIP codes in the towns of Worth, Broadview, Maywood, and Forest Park, areas that “have substantially lower median household incomes and higher poverty rates,” have been especially hard-hit, the report said.”In the article, they claimed that lower incomes were associated with higher overdose death rates and that overdose death rates are increasing over time. The data you have been analyzing wasn’t focused on Chicago, obviously. But do your results support the general gist of the statistical argument being made in this Tribune excerpt? Please address:• Do overdose death rates appear to be associated with per capita income (use scatterplot)?• Do overdose death rates appear to be increasing over…
Acompanysellinglicensesofnewe-commercesoftwareadvertisedthatfirmsusingthissoftware could obtain, on average during the first year, a minimum yield (in cost savings) of 20 percent on average on their software investment. To disprove the claim, we checked with 10 different firms which used the software. These firms reported the following cost-saving yields (in percent) during the first year of their operations: {17.0, 19.2, 21.5, 18.6, 22.1, 14.9, 18.4, 20.1, 19.4, 18.9}. Do we have significant evidence to show that the software company’s claim of a minimum of 20 percent in cost savings was not valid? Test using α = 0.05. Compute a 95% confidence interval for the average cost-saving yield estimate.
In a staff meeting called to address the problem of returned cheques at the supermarkets where you are interning as a financial analyst, the bank reports that 12 percent of all cheques are returned for insufficient funds, and of those, in those 50 percent of cases, there was cash given back to the customer. overall ,10 percent of customers ask for cash back at the end of their transaction with the store. For 1,000 customer visits, how many transactions will involve:
The table below contains monthly share prices for Pfizer Inc. (PFE) and Astrazeneca Plc. (AZN). It also contains the monthly prices for the S&P 5000 index (S&PCOMP). Date Time S&PCOMP PFE AZN 2/1/2019 0 2510.03 43.25 37.80 1/2/2019 1 2706.53 42.88 36.65 1/3/2019 2 2803.69 43.36 41.76 1/4/2019 3 2867.19 42.84 41.27 1/5/2019 4 2923.73 40.77 37.35 3/6/2019 5 2744.45 41.92 37.90 1/7/2019 6 2964.33 43.77 41.31 1/8/2019 7 2953.56 38.25 44.00 3/9/2019 8 2906.27 36.12 45.27 1/10/2019 9 2940.25 35.43 43.66 1/11/2019 10 3066.91 38.39 48.39 2/12/2019 11 3113.87 38.29 48.38 2/1/2020 12 3257.85 39.14 50.39 3/2/2020 13 3248.92 37.51 48.51 2/3/2020 14 3090.23 34.88 45.87 1/4/2020 15 2470.50 31.75 43.78 1/5/2020 16 2830.71 37.64 51.86 1/6/2020 17 3055.73 35.46 55.16 1/7/2020 18 3115.86 33.74 53.32 3/8/2020 19 3294.61 38.35 56.82 1/9/2020 20 3526.65 36.88 55.38 1/10/2020 21 3380.80 36.37 54.30 2/11/2020 22 3310.24 36.23 50.62 1/12/2020 23…

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