From the following data find :(i) The real wages for each of the years(ii) The year of the greatest buying power(iii) The percentage increase in the wages for the year 1998 required toprovide the same buying power as that of the highest real wages.Year199319941995199619971998Cost of living indexWeekly carry home wages130115110120140145150105110125140145

Answered: Image /qna-images/answer/4e0487e5-8d70-4449-8407-c83544fb2f48.jpg

Answered: From the following data find : (i) The…

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 following table shows the average monthly production of coal in tonnes for the Year Production Year Production (in tonnes) (in tonnes) 50.0 38.1 36.5 43.0 2010 2011 2012 2013 2014 44.5 38.9 2015 2016 2017 2018 2019 32.6 41.7 41.1 33.8 year 2010-2019. a) Compute the price indices from 2010 to 2019 by taking 2019 as the base year. Compare the price of 2014 and 017. c) What is the percentage (%) change in the production from 2016 to 2019?
6. The Motion Picture Association of America reports a drop-off of video disc sales. The data in the table below shows consumer spending on video discs (DVD, Blue-ray, and UltraHD Blu-ray) in the United States in the years 2015-2018. Year Consumer Spending on video discs (in billions of dollars) 2015 9.1 2016 8.0 2017 6.8 2018 5.8 (a) What was the average rate of change in consumer spending from 2015 to 2018? (Be sure to include units.) (b) Use the average rate of change calculated above to predict consumer spending on video discs in 2020?
Quarterly Glass Container Demand Year 1990 1991 1992 First Qtr. 17,446. 17,748. 17,595. Second Qtr. 17,785. 19,360. 18,338. Third Qtr. 18,971. Fourth Qtr. 19140. 17,802. 19,413. 18,315. 18,083. Question: Quarterly sales (in thousands of units) of a product over the last two years have been 26, 29, 30, 27, 28, 32, 33, and 30. Plot the data and forecast for the next period using Winter's Seasonal Model. Now, assume sales for the ninth quarter turned out to be 32. Update your parameter estimates and forecast sales for period 10.
Data for a particular country on consumer debt (as a percentage of personal income) and mortgage debt (also as a percentage of personal income) for the 10 years from 2006 to 2015 are shown in the following table. Consumer Debt r = 6.72 7.07 6.97 6.69 6.19 5.58 5.15 4.95 4.74 4.59 Mortgage Debt 5.96 5.97 5.88 5.60 5.17 5.06 4.96 5.22 5.30 5.45 (a) What is the value of the correlation coefficient for this data set? (Round your answer to four decimal places.)
8. Magazine Sales The following table shows the income, measured in thousands of dollars, from sales of a certain magazine at the start of the given year.
II.
47. Given the following data : Weekly take-home pay (wages) Consumer price index Year 109.50 112.8 2012 2013 112.20 118.2 2014 116.40 127.4 2015 125.08 138.2 2016 135.40 143.5 2017 138.10 149.8 () What was the real average weekly wage for each year ? (i) In which year did the employees have the greatest buying power ? (ii) What percentage increase in the weekly wages for the year 2017 is required (if any) to provide the same buying power that the employees enjoyed in the year in which they had the highest real wages ?
PArt C D
Suppose that a firm's sales were $3,750,000 five years ago and are $5,250,000 today. What was the geometric mean growth rate in sales over the past five years?
The following table shows the average monthly production of coal in tonnes for the year 2010-2019. Year Production (in tonnes) Year Production (in tonnes) 2010 50.0 2015 38.1 2011 36.5 2016 32.6 2012 43.0 2017 41.7 2013 44.5 2018 41.1 2014 38.9 2019 33.8 Compute the price indices from 2010 to 2019 by taking 2019 as the base year. Compare the price of 2014 and 2017. What is the percentage (%) change in the production from 2016 to 2019?
Need a Net balance graph for the given data

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