22Calculate Fisher's Ideal Index Number from the data given below andshow that it satisfies Time Reversal Test.1979Quantity1980QuantityCommodityPricePrice1012182049251012152050201240

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Answered: 22 Calculate Fisher's Ideal Index…

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 contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 31 2 34 3 33 4 35 5 37 6 36 7 38 8 40 9 40 10 41 a. Calculate the single exponential smoothing forecast for these data using an α of 0.30 and an initial forecast ( F1�1 ) of 31. Note: Round your intermediate calculations and answers to 2 decimal places. b. Calculate the exponential smoothing with trend forecast for these data using an α of 0.30, a δ of 0.30, an initial trend forecast ( T1�1 ) of 1, and an initial exponentially smoothed forecast ( F1�1 ) of 30. Note: Round your intermediate calculations and answers to 2 decimal places. c-1. Calculate the mean absolute deviation (MAD) for the last nine months of forecasts. Note: Round your intermediate calculations and answers to 2 decimal places. c-2. Which is best? multiple choice Exponential smoothing with trend forecast Single exponential smoothing forecast
Period Demand seasonal factor Mar-18 31,550 0.84 Apr-18 32,125 0.86 May-18 35,700 0.95 Jun-18 40,620 1.08 Jul-18 42,810 1.14 Aug-18 44,230 1.18 Sep-18 41,482 1.11 Oct-18 38,348 1.02 Nov-18 34,722 0.93 Dec-18 36,190 0.97 Jan-19 38,450 1.03 Feb-19 33,330 0.89 total 449,557 Average 37,463 What is the forecast demand for march 2019 using simple exponential smoothing with an alpha = 0.3 ?
industrial workers during the years 1980-87. The consumer price indices for these years with 1980 as base we 10-35. The table given below shows the average wages in rupees per week of a group of are also shown: : 1980 Year Average Wage of Workers (Rs.) . Consumer Price Index () Determine the Real Wage of workers during the years 1980-87 as compared with their wages in 1981 1982 1983 1984 1985 1986 1987 119 133 144 157 175 184 189 194 100 107-6 106-6 107-6 116-2 118-9 119-8 120-2 1980. (ii) Determine the purchasing power of Rupee for the year 1987 as compared te the year 1980. What is the significance of this result ? res
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10 20 10 3 10 20 19 18 20 6 17 17 Sorted Data Minimum Quartile 1 Median Quartile 3 aximum lete Range US 96 6. 7. n
For the following claim, find the critical value. Assume that a simple random sample has been selected from a normally distributed population. Claim: The mean IQ score of statistics professors is greater than 130 Sample data: n=28, x= 131, s = 8. The significance level is a = 0.01. Click the icon to view a table of critical t-values. Find the critical value using a t-distribution table. OA. 2.771 OB. 2.473 OC. 2.763 OD. 2.467 t-table t distribution: Critical t values Degrees of Freedom 1 23455 2 3 6 7 8 9 10 5.841 4.604 5 4.032 3.707 3.499 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 1268885MINHAS 27 29 30 31 32 33 34 35 36 37 0.005 38 0.01 63.657 9.925 3.355 3.250 3.169 3.106 3.055 3.012 2.977 2.947 2.921 2.898 2.878 2.861 2.845 2.831 2.819 2.807 2.797 2.787 2.779 2.771 2.763 2.756 2.750 2.744 2.738 2.733 2.728 2.724 2.719 2.715 2.712 2709 0.01 0.02 31.821 6.965 4.541 3.747 3.365 3.143 2.998 2.896 2.821 2.764 2.718 2.681 2.650 2.624 2.602 2.583 2.567 2.552 2.539 2.528 2.518 2.508…
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Calculate Fisher's Ideal Index Number from the data given below and show that it satísfies Time Reversal Test. 1999 2000 Commodity Price Quantity Price Quantity 10 49 12 50 В 12 25 15 20 18 10 20 12 20 5 40 2
Restaurant car arrival frequency x (number of cars arriving) 1 2 3 4 6 7 8 9 10 11 12 13 14 15 16 Print Frequency SALLES NENS I NO NOM 5 4 14 24 25 31 24 26 21 15 5 2 3 2 3 Done 1 < Cars arrive at a certain restaurant's drive-through at a rate of 0.2 cars per minute between the hours of 11:00 P.M. and 1:00 A.M on Saturday evening. The restaurant begins an advertising blitz that touts its late-night service. After one week of advertising, the restaurant's officials count the number of cars, X, arriving at the restaurant's drive-through between the hours of 12:00 midnight and 12:30 A.M. for 204 of its restaurants. The results are shown in the following table. Use the table to answer parts (a) through (c) to the right. (a) Construct a probability distribution for the random variable X, assuming it follows a Poisson process with λ=0.2 and t-30. This is the probability distribution of X before the advertising. Remember that x= 0,1,2,3,...,16. (b) Compute the expected number of restaurants…
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22 Calculate Fisher's Ideal Index Number from the data given below and show that it satisfies Time Reversal Test. 1980 1979 Quantity Quantity Commodity Price Price 10 12 18 20 49 25 10 12 15 20 40 50 20 12 ABCD