3. Construct a Fisher's Ideal Index from the following data and show that itsatisfies time reversal and factor reversal tests :20132014Itemspoqo91A1040124511501152C14301730828102912151320

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Answered: 3. Construct a Fisher's Ideal Index…

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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3.24: The data in the accompanying table are from the Organization for Economic Co-operation and Development (data.oecd.org/eduatt/population-with-tertiary-education.htm, retrieved February 18, 2018). Entries in the table are the percentage of 25- to 34-year-old people who have completed a 4-year college degree for 27 countries in 2016. Country Percentage of people age 25 to 34 with 4-year degree Country Percentage of people age 25 to 34 with 4-year degree Australia 49.3 Italy 25.6 Austria 39.7 Japan 60.1 Canada 60.6 Mexico 21.8 Colombia 28.1 New Zealand 43.4 Costa Rica 28.9 Norway 48.6 Czech Republic 32.6 Poland 43.5 Denmark 45.9 Portugal 35.0 Finland 41.1 Spain 41.0 France 44.0 Sweden 47,.2 Germany 30.5 Switzerland 48.8 Greece 41.0 Turkey 30.5 Hungary 30.4 United Kingdom 52.0 Iceland 43.3 United States 47.5 Israel 47.4…
The following two-by-two table was created from the data. TROUBLE STAYING ASLEEP [outcome] TROUBLE FALLING ASLEEP[predictor] Yes No TOTAL Yes 65 40 105 No 51 110 161 TOTAL 116 150 266 Let TP denote True Positive cases. Let TN denote True Negative cases. Let FP denote False Positive cases. Let FN denote False Negative cases. Trouble staying asleep (outcome) Yes No Trouble falling asleep (predictor) Yes TP FN No FP TN What is the positive predictive value of the predictor variable for the outcome? What is the negative predictive value of the predictor variable for the outcome? Which predictive value (negative or positive) is higher? What proportion of participants have trouble falling asleep and staying asleep? What is the prevalence of “Trouble staying asleep” among study participants?
2 20. Input the data from the table into a spreadsheet. 4 Compute the serial correlation in decade returns for each asset class and for inflation. Annual Returns, Correlation by Decade and Asset Class Serial Instructor Notes: Make sure students enter data as decimals. Point out to students that serial correlation with so few data points is inherently inaccurate. Correlation is found by comparing decade to previous decade.
Fit a linear trend curve by the least-squares method to the following data and then estimate levels of production in 2023 and 2025. Year 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Production (M Tons) 10 12 16 20 22 25 28 31 35 40 44 50 Consider the following distributions of the marks scored by 100 students in a quantitative techniques activity. The median mark is known and given as 49.8. Marks 0- 15 15- 30 30- 45 45- 60 60- 75 75 – 90 90-105 Total No. of Students 10 12 20 f1 15 f2 8 100 Find the missing frequencies f1 and f2 and then compute the Bowley coefficient skewness and comment.
(1) MII Find the 25th, 50th, and 75th percentile from the following list of 32 data 4 6. 9. 16 19 22 23 25 30 31 38 39 42 46 47 48 56 57 63 68 73 74 75 80 85 86 87 88 94 95 98 99 25th percentile = 50th percentile = 52 V 75th percentile = Enter an integer or decimal number [more.. Submit Question 99 9 Type here to search ASUS
9.15 On the basis of past data, the owner of an automobile dealership finds that, on average, 8.5 cars are sold per day on Saturdays and Sundays during the months of January and February, with the sales rate relatively stable throughout the day. Moreover, purchases appear to be independent of one another. The dealership is open for 10 hours per day on each of these days. There is no reason to believe that the sales for the upcoming year will be any different from in the past. a On the first Saturday in February, the dealership will open at 9 A.M, Find the proba- bility that the time until the first sale is more than two hours, PE(T22 hours | m = 8.5 cars per 10 hours). b Find the probability that the number of sales before 11 A.M. is equal to zero. Pp(X 0 in 2 hours m 8.5 cars per 10 hours). Compare your answer with that from part a. Can you explain why the answers are the same? C The owner of the dealership gives her salespeople bonuses, depending on the total number of cars sold. She…
2.3
3.6 With the increase in the mobility of the population in the United States and with the increasein home-based employment, there is an inclination to assume that the personal income in theUnited States will become fairly uniform across the country. The following table provides the percapita personal income for each of the 50 states and the District of Columbia.Income(thousands of dollars) Number of States22.0–24.9 525.0–27 .9 1328.0–30.9 1631.0–33.9 934.0–36.9 437 .0–39.9 240.0–42.9 2 Total 51 a. Construct a relative frequency histogram for the income data.b. Describe the shape of the histogram using the standard terminology ofhistograms.c. Would you describe per capita income as being fairly homogenous across…
12.2.10-T EQuestion Help Excellent The following data represent the level of health and the level of education for a random sample of 1617 residents. Complete parts (a) Not a H.S. graduate and (b) below. Education Good Fair Poor 57 130 112 114 H.S. graduate Some college Bachelor Degree or higher 62 128 98 125 59 137 99 133 54 137 73 99 H,: Level of education and health are dependent. O B. H: H, =E, and u, =E, and u =E, and P = E, H,: At least one mean is different from what is expected. OC. Ho: P, =p2 = P3 H,: At least one of the proportions are not equal. Calculate the test statistic. (Round to three decimal places as needed.) Enter your answer in the answer box and then click Check Answer.

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3. Construct a Fisher's Ideal Index from the following data and show that it satisfies time reversal and factor reversal tests: 2013 2014 Items po P1 91 10 40 12 45 11 50 11 52 14 30 17 30 8. 28 10 29 12 15 13 20 ABCDE