The following data gives prices of commodities in 1986 and1984. Calculate a price index number using Arithmetic mean.СоmmodityIIIIIIIVVPrice in 19861622123036Price in 1984111572530

Given: commodity price in 1984 price in 1986 I 11 16 II 15 22 III 7 12 IV 25 30 V 30…

Answered: The following data gives prices of…

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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Calculate the appropriate measure of skewness from the following distribution. Monthly income Upto 100 100-150 151-200 201-300 301-500 501-750 751-1000 1000 & above Frequency 9 51 120 240 136 33 9 2
22. Construct a cost of living index from the following indices, the weighte being food 55, rent 20, clothing 15, fuel and lighting 15 and miscellaneous 5: Year Food Rent Clothing Fuel and Lighting Miscellaneous 2014 2015 2016 2017 100 105 110 100 104 112 115 100 100 100 101 103 100 110 115 120 98 102 112 105
Calculate mean, mode, median from the following frequency table. Class frequency (f) 4 - 6 4 7 - 9 6 10 - 12 9 13- 15 5 16-18 3
Using the index on housing starts in the United States per year from 2006 to 2017 given in the table below, forecast the index for 2018 using a three-year and a five year moving average. Year Actual Sales 2006 116 2007 122 2008 121 2009 121 2010 111 2011 97 2012 113 2013 125 2014 146 2015 142 2016 156 2017 162 2018
Suppose that a company's annual sales were $1,200,000 in 1999. The annual growth rate of sales from 1999 to 2000 was 16%, from 2000 to 2001 was -5%, and from 2001 to 2002 was 22%.The geometric mean growth rate of sales over this three-year period is calculated as 10.37%. Use the geometric mean growth rate and determine the forecasted sales for 2004.A. 1,780,678B. 1,200,014C. 1,965,337D. 1,613,371E. 1,422,197
Compute by Fisher's Index Formula, the quantity index from the data given below : Commodity Price Value Price Value A 10 100 8 96 B 16 96 14 98 12 36 10 40
From the data given below construct the quantity index number for the current year using arithmetic mean under the weighted relative method. Base Year Current Year Commodity Price Quantity Price Quantity M 2 40 50 4 50 8. 40 20 9. 30 P 8. 10 6. 20 Q 10 10 5 20
48. From the data given below, calculate seasonal indices for I, II, III and IV quarters assuming the trend is absent : Quarter Year 2014 2015 2016 2017 2013 41 45 44 40 42 35 36 38 35 37 II 38 36 38 38 39 II 40 41 42 IV 40 38
From the data given below, compute price index numbers using (i) weighted arithmetic average of price relatives, (ii) weighted geometric mean of price relatives. Group Prices in 2010 () .) Prices in 2013 ) Weights Food 100 90 30 Rent 20 20 15 Clothing 70 60 20 Fuel Others 20 15 10 40 55 25
2. Median Home Value | school rating 300 2 500 7 600 8 900 7.5 990 10 Find the predicted median home value change when school rating moves from 5 to 7.
The following distribution shows the annual average cost of a given commodity (100 pound bag of cement) for the given years. 1. Complete the table by computing the 4-year and 5-year SMAS and EMAs using your own commodity. Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Commodity Four- Price Year $6.75 $6.70 $7.75 $6.72 $5.75 $6.70 $5.99 $6.25 $6.35 $7.15 $6.95 $6.45 $8.75 $8.50 $9.25 $9.33 $8.95 $9.15 $9.55 $8.85 Four-Year Five-Year Exponential Simple Moving Averages (SMA Simple Moving Moving Averages Averages (EMA) (SMA) Five-Year Exponential Moving Averages (EMA)

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The following data gives prices of commodities in 1986 and 1984. Calculate a price index number using Arithmetic mean. Commodity I II III IV V Price in 1986 16 22 12 30 36 Price in 1984 11 15 7 25 30