ie 10Construct Index Number for each year from the following averageannual price of cotton with 1974 as the base.Price (Rs.)YearPrice (Rs.)Year197419751976197719787550656072197919801981198219837069758480

In this question we have to construct index numbers using Simple (unweighted) Aggregate method. This…

Answered: Construct Index Number for each year…

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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Find the nominal rate p.a. convertible quarterly corresponding to an effective rate of 8% p.a.
6. From the following data, Calculate Price Index Number for the current year by Using. (a) Passche's Method and (b) Laspeyre's Method Base Year Current Year Commodity Price Quantity Price Quantity 8 50 20 60 15 6. 10 1 20 8. 10 1 1 40 3. 30 ABCDE
Calculate approximately to 3 decimal places the composite price index for all three stock between 2008 and 2011. A. 1.24B. 0.88C. 0.780D. 1.42
"mar 35. A customer deposits $2000 in a savings account that pays 5.2% interest compounded quarterly. How much money will the customer have in the account after 5 years? a. $2589.52 b. $2576.97 c. $2133.42 d. $2592.40 68,
Illustration 56. Assuming that there is no trend, deseasonalise the following data relating to the cash balances of a firm for the vear , 1998 : (use multiplicative model Month Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec Balance (in '000 Rs.) : 150 160 196 | 256 274 204 | 208 200 204 164 | 146 238 Seasonal Index : 75 80 98 128 | 137 119 102 104 100 102 82 73
Year Quarter Revenue 2005 Qtr1 5,206 Qtr2 6,310 Qtr3 6,037 Qtr4 5,551 2006 Qtr1 5,226 Qtr2 6,476 Qtr3 6,454 Qtr4 5,932 2007 Qtr1 6,103 Qtr2 7,733 Qtr3 7,690 Qtr4 7,331 2008 Qtr1 7,379 Qtr2 9,046 Qtr3 8,393 Qtr4 7,126 2009 Qtr1 7,169 Qtr2 8,267 Qtr3 8,044 Qtr4 7,510 2010 Qtr1 7,525 Qtr2 8,674 Qtr3 8,426 Qtr4 10,494 State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.) yt = + t + Q1 + Q2 + Q3 Use the regression equation to make a prediction for each quarter in 2011. (Enter your answers in millions rounded to 3 decimal places.) Quarter Predicted Q1 Q2 Q3 Q4
Calculate the index number using both the Aggregate Expenditure Method and Family Budget Method for the year 2013 with 2000 as the base year from the following : Quantity in Units in 2000 Price per Unit in 2000 ( ) Price per Unit in 2013 ( .) Commodity 100 8.00 12.00 25 6.00 7.50 10 5.00 5.25 D 20 48.00 52.00 25 15.00 16.50 30 9.00 27.00
Year Quarter Revenue 2005 Qtr1 5,196 Qtr2 6,300 Qtr3 6,027 Qtr4 5,541 2006 Qtr1 5,109 Qtr2 6,455 Qtr3 6,402 Qtr4 5,895 2007 Qtr1 6,065 Qtr2 7,695 Qtr3 7,652 Qtr4 7,293 2008 Qtr1 7,360 Qtr2 9,035 Qtr3 8,299 Qtr4 7,015 2009 Qtr1 7,130 Qtr2 8,212 Qtr3 8,015 Qtr4 7,468 2010 Qtr1 7,700 Qtr2 8,655 Qtr3 8,407 Qtr4 10,475 Quarter 2005 2006 2007 2008 2009 2010 Qtr1 5,196 5,109 6,065 7,360 7,130 7,700 Qtr2 6,300 6,455 7,695 9,035 8,212 8,655 Qtr3 6,027 6,402 7,652 8,299 8,015 8,407 Qtr4 5,541 5,895 7,293 7,015 7,468 10,475 (b) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.) yt = + t + Q1 + Q2 + Q3 (c) Use the regression equation to make a prediction for each quarter in 2011. (Enter your answers in millions rounded to 3 decimal places.) Quarter Predicted Q1 Q2…

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Construct Index Number for each year from the following average annual price of cotton with 1974 as the base. Price (Rs.) Year Price (Rs.) Year 1974 1975 1976 1977 1978 75 50 65 60 72 1979 1980 1981 1982 1983 70 69 75 84 80