Ехample 1Find index numbers for the years 1973, 1974 and 1975 from the following dartaking 1972 as base and using Mean as an average.Price of CommoditiesYearsC2.803.003.253.401.501.20197219731.752.002.251.40197419751.501.60

The price change over the period of time is calculated using the index number. It is broadly…

Answered: Example 1 Find index numbers for 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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From the following data construct Laspayres Price index number in 1989 with 1986 as base year. Commodity Price in Price in Quantity in Quantity in 1986 1989 1986 1989 i 10 11 16 ii 10 16 15 21 iii 12 14 5 12 iv 16 18 7 V 20 22 13 19
Please help with the corrected answers in details: The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 What type of pattern exists in the data? The data appear to follow a trend pattern. The data appear to follow a horizontal pattern. The data appear to follow a cyclical pattern.The data appear to follow a seasonal pattern. (b) Use ? = 0.2 to compute the exponential smoothing values for the time series. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (c) Use a smoothing constant of ? = 0.4 to compute the exponential smoothing forecasts. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135…
From the data given below, using the simple average of price relative comput: (i) Index number for 1998 with 1995 as the base and (ii) Index number for 1995 with 1998 as the base. Comment upon the result, if any. Price Items Unit 1995 1998 6. Rice Dal Ghee kg kg kg 15 20 40 50
The population of a certain city is shown in the following table during 1910 to 1950. Year 1910 1920 1930 1940 1950 Рорulation (in thousands) 22.6 45 26 48 60 Find the population increase between I. 1918 to 1920 II. 1932 to 1936 III. 1947 to 1950
From the following indices calculate the weighted cost of living index numbers for the years 1996, 1997 and 1998. Indices S.No. Items Weights 1995 1996 1997 1998 100 110 115 Food Clothing Housing Fuel Sundries 1. 50 120 30 100 100 110 105 2. 20 100 95 120 104 3. 15 100 105 108 106 4. 100 102 112 110 5.
Provide an appropriate chart for the following data
Review the following line graph. 0.90 0.80 0.70 0.60 0.50 0.40 0.30 0.20 0.10 0.00 9/94 0.61 34% 10/95 © 2019 StrongMind A line graph of Total Good (in decimals) and Total Bad (in percents). 63% The broken scale is not properly shown on the x-axis. O The graph is not labeled properly. 0.30 9/05 58% 0.38 4/07 77% 0.21 1/09 72% 0.22 9/09 -Total Good 72% 0.23 1/10 Total Bad 71% 0.26 11/11 52% 0:44 7/13 0.57 40% 12/14 0.74 24% 7/16 0.70 26% 9/17 ANB News polled people in the United States from September 1994 to September 2017. They asked: "In general, do you think your school system is totally good or totally bad?" How is this chart misleading? O The timeline moves from right to left. O The scale is too big on the y-axis.
Q3. Consider the following data. Period Rate of Return (%) 1 -6.0 2 -8.0 3 -4.0 4 2.0 5 5.4 What is the mean growth rate over these five periods?
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
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From the following data compute the consumer price Index for the year 1998 w.r.t. the price level of 1997. Food Items Food Rent Clothing Fuel Weight Percentage of increase in prices over the price of 1997 Misc. 7.5 2 2.5 Rice Whe Pul 3 1 50 60 40 20 30
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

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Example 1 Find index numbers for the years 1973, 1974 and 1975 from the following d taking 1972 as base and using Mean as an average. Price of Commodities Years A B 2.80 3.00 3.25 3.40 1.50 1.75 1.20 1972 1973 1.40 1974 1975 2.00 2.25 1.50 1.60