10. Compute by Fisher's formula the Quantity Index Number from the data givenbefow :20042006ArticlesPriceTotal ValuePriceTotal ValueA5504488496.1820

Answered: 10. Compute by Fisher's formula 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?
2
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
9. Using Paasche's formula, compute the quantity index for the year 1983 with 1975 base. Comtiodity Quantity Units Value (in 1975 1983 1975 1983 A 100 150 500 900 B 80 100 320 500 C 60 72 150 360 D. 30 33 360 297
-111. Compute by Fisher's Index Formula, the quantity index from the data given below : Соmmodity Price Value Price Value 10 100 8 96 uptonb 96 36 16 14 98 ovideler 12 C 10 40
2. Discuss the Price Index most commonly used in your country. How is it calculated?
The table to the right gives the average sales tax rate (state plus local) in six east coast states and six western states. Complete parts (a) through (e) below. East coast states West coast states A 6.50% U 8.50% B 6.25% V 1.69% C 5.00% W 0.00% D 0.00% X 8.89% E 9.49% Y 8.50% F 8.00% Z 6.95% a. Find the mean, median, and range for each of the two data sets. The mean for the east coast states is . (Type an integer or decimal rounded to three decimal places as needed.)

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10. Compute by Fisher's formula the Quantity Index Number from the data given befow : 2004 2006 Articles Price Total Value Price Total Value 5 50 4 48 B 40 7 49 C 18 20