Given below are the data relating to the indices and weights of the consumer'sitems for the current year 1998 :ItemsIndicesWeightsFoodFuelClothingRentMisc.2005010017125121601013011It is proposed to allow dearness allowance in 1998 is such a manner that itwill fully compensate the price rise in food and clothing. Determine such dearnessallowance in terms of percentage of wages.

Answered: Image /qna-images/answer/d64349ff-e632-4b3c-b6b0-c44e4be2b89b.jpg

Answered: Given below are the data relating to…

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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53. Calculate seasonal index numbers from the following data : RATIO OF OBSERVED TO TREND VALUES (%). Year II IV 2012 108 130 107 93 2013 86 120 110 91 2014 92 118 104 88 2015 78 100 94 78 2016 82 110 98 00 86 2017 X3 If the sales of goods X by a firm in the first quarter of 2018 are worth Rs. 2,00,000, determine how much worth of the goods should be kept in stock by the firm to meet the demand in each of the remaining three quarters of 2018 by using the seasonal index numbers calcuiated above. 106 118 105 98
Maryland Café Using the following information to answer the questions, Please take 2 decimals in calculation. Month Sales ('000s) January 24 37 February March 24 42 24 39 April 2$ 29 May June 49 40 July August September 39 40 43 October ?? 1. What is the forecast for October using a 5-month moving average approach? $42,200 2. What is the forecast for October using a 3-month weighted moving average approach? In order from most recent to least recent month, assign weights of 0.5, 0.2 and O.1 $41,470 3. What is the forecast for October using exponential smoothing with alpha = 0.2, July forecast was 30 $35.350
Which of the following belongs to lagging indicators A. Manufacturers' new orders B. Stock prices, 500 common stocks C. Average duration of unemployment D. Industrial production
The following table shows the Consumer Price Index (CPI), which uses the year 1983 as a baseline (1983 100%). What is the equivalent 1983 yearly salary to a worker who earned $40,000 in the year 2010? Round to the nearest cent. Year 2010 CPI 220.22 2009 216.69 2008 211.14 2007 211.08 2006 202.42 2005 198.3 2004 190.7
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?
Below are the CPIS for three different European countries from 2016 to 2019: Country CPI in 2016 CPI in 2017 CPI in 2018 CPI in 2019 United Kingdom 99.4 101.5 104.2 106.3 France 99 100.6 101.7 103.1 Germany 99.1 100.8 102 103.3 (a) Which country / countries experienced inflation from 2016 to 2019? (b) Calculate the percentage changes in CPIS from 2018 to 2019 for each country. (c) If the prices of a country, it was the cheapest in 2019? roduct wer the same in these three countries in 2018, in which
(e) Test the hypothesis Ho : B1 = 10 versus H1 :ß, # 10 using a = 0.01. Ho and conclude the slope v 10 at a = 0.01. (d) Test the hypothesis Ho : Bo = 0 versus H1 : Bo + 0 using a = 0.01. Ho and conclude that the intercept be included in the model.
Johnson Wholesale Company manufactures a variety of products. The prices and quantities produced for April 2010 and April 2019 are: 2010 2019 2010 Quantity 2019 Quantity Product Price Price Produced Produced Small motor (each) $ 23.92 $ 28.29 1,413 4,234 Scrubbing compound (gallon) 2.32 3.70 86,827 62,984 Nails (pound) 0.19 0.86 9,332 22,336 Click here for the Excel Data FileUsing April 2010 as the base period, find the value index of goods produced for April 2019. (Round your answer to 2 decimal places.)
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 ?

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