Example 20.19 Calculate the chain base index number from the following data:Price in RsCommodity1991199219931994234292018ABCсD234 LO34562712+0048111995731622

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Answered: Example 20.19 Calculate the chain base…

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?
From the following data construct an index for 2016 taking 2017 as base : Commodity Price in 2016 50 40 80 110 20 Price in 2017 70 60 90 120 20 (BCDE
3. The following data shows prices of three types of fruits over ten years. Year Mango Orange Blackberry 50 100 150 55 115 155 60 100 125 4 55 110 130 63 120 120 65 110 125 7 70 105 140 8 75 120 170 60 130 160 10 65 135 175 Take year 1 as the base year. In that year the production of Mango, Orange, and Blackberry was 50, 25, and 15 thousand kilograms respectively. a) Find the un-weighted index of prices. b) Find the Laspeyres index for fruit prices. c) What is the change in price from year 6 to year 7 if you use un-weighted index. d) What is the change in price from year 6 to year 7 if you use Laspeyres index. e) Is answer to c is different from answer to d. Explain your answer
Given the following data and seasonal index: Month Sales Year 1 Year 2 Jan 8 8 Feb 7 9 Mar 5 6 Apr 10 11 May 9 12 June 12 16 July 15 20 Aug 20 25 Sept 4 4 Oct 3 2 Nov 8 7 Dec 9 9 (a) Compute the seasonal index using only year 1 data. (b) Determine the deseasonalized demand values using year 2 data and year 1's seasonal indices.
Example 1 From the data given below, calculate the index number of prices for all the years with reference to 1980 as the base year, using Simple Aggregative Method. Items 1980 1981 1982 1983 Rice wheat 57.2 130.3 51.7 56.4 58.7 60.4 121.3 124.6 50.3 135.5 53.3 Sugar 48.2
The following information was recorded in a toy store: Year 2016 Year 2017 Year 2018 Price Quantity Price Quantity Price Quantity Slime 6. 50 9. 60 10 56 Sticky tact 100 2 105 120 Stinky egg Teddy Bear 4 60 4 50 60 10 30 11 26 12 24 Tortoise 8 40 11 39 12 36 (a) By using the above data, compute the Laspeyres Price Index for year 2018 by using year 2016 as base year. (b) Interpret your answer in part (a)). (c) By using the above data, compute the Paasche Price Index for year 2018 by using year 2016 as base year. (d) Which item has experienced the greatest inflation rate from year 2017 to year 2018? (Just state vour answer, no calculation is needed in part (d)).
Assist the analyst to obtain the index value forecasts
From the following data construct a price index number of the group of four commodities by using the appropriate formula : Commodity Base Year Current Year Price per unit Expenditure Price per unit Expenditure A 40 75 4 16 40 C 1 10 2 24 5 25 10 60
Table 1. VITAL STATISTICS OF COUNTRY Y 2020 2018 2015 Total population 109,035,343 100,981,437 92,337,852 Total marriages (Based on civil registration) 240,183 431,972 449,169 Total population of women 15-44 years old 32,962,017 28,625,793 26,417,734 Total Births (Based on civil registration) Male 990,390 750,871 632,870 Female 952,126 972,802 487,798 Total Deaths (Based on civil registration) Timely 506,530 509,762 473,987 Late 106,820 110,382 116,803 Deaths during pregnancy 7,938 7,099 6,759 Fetal deaths Early 1,942 1,236 1,326 Intermediate 1,435 1,161 1,288 Late 1,157 1,311 1,046 Infant deaths Less than 7 days 839 623 795 Less than 28 days 1,961 1,911 1,863 Less than 1 year 3,534 3,658 3,080 Top 3 Leading Causes of Mortality 1. Diseases of the circulatory system 691,225 625,213…
56. From the following data calculate the cost of living index number by the family budget mehtod. Also obtain the expenditure of the person in the year 2013 if his ex- penditure is 2010 is Rs. 600. Price 2010 Price 2013 Weight Group Food Clothing Rent 12 60 16 32 30 60 30 10 10 20 15 Education Misc. 15 10
The following data relate to the prices and quantities of 4 commodities in the years 2012 and 2013. Construct the following index numbers of price for the year 2013 by using 2012 as the Base year, . (i) Laspeyre's Index, (ii) Paasche's Index, (iii) Fisher's Ideal Index, 2012 2013 Commodity Price Quantity Price Quantity A 100 6. 150 B 4 80 5 100 C 2.5 60 5 72 D 12.0 30 33

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Example 20.19 Calculate the chain base index number from the following data: Price in Rs Commodity 1991 1992 1994 ABCD 2345 3627 1993 4 9 20 18 2481 11 1995 7 3 16 22