4 Constant Laspeyre's and Paasche's index number for the following data : Commodity Base Period Current Period Price Quantity Price Quantity 30 15 40 В 5 40 10 55 10 25 12 20
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- 53. Calculate seasonal index numbers from the following data : RATIO OF OBSERVED TO TREND VALUES (%). Year II IV 2012 108 130 107 93 2013 86 120 110 91 2014 92 118 104 88 2015 78 100 94 78 2016 82 110 98 00 86 2017 X3 If the sales of goods X by a firm in the first quarter of 2018 are worth Rs. 2,00,000, determine how much worth of the goods should be kept in stock by the firm to meet the demand in each of the remaining three quarters of 2018 by using the seasonal index numbers calcuiated above. 106 118 105 98Question 2 The imports of a company were as follows: Price per unit (in Pula) Number of units Product 2012 2022 2012 2022 A 5.00 12.00 2500 2800 B 6.50 14.50 5000 4950 C 10.00 16.00 3500 4300 Use 2012 as base year to calculate: The price index of Laspeyeres. The price index of Paasche. The quantity index of Laspeyeres. The quantity index of Paasche. Hence find the Fishers Price and Fishers Quantity Indexes.The prices of earphones (in rands) at a music shop are shown in the table below for each month in 2006. It is generally accepted that the same price pattern repeats itself three times per annum and this principal may also be applied here. Consider this partially completed tables: Period 1 2 3 4 5 6 7 8 9 10 11 12 Prices (y) OB. 46.5 OC. 34.56 OD. 56.03 54.50 54.75 55.20 56.30 56.25 56.10 55.90 56.10 56.80 56.95 56.80 56.55 3-period Moving average 54.82 55.33 93.08 56.22 56.08 A 56.27 56.62 56.85 56.77 Seasonal index 99.87 99.6 100.68 100.05 100.04 B 100.18 Calculate the value of the missing moving average located at A. Round off to two decimals. OA. 57.56
- Country China China China China China China China Scale us/billion us/billion us/billion us/billion us/billion tonnes % Items GDP GFCF EX IM FDI CO2C TO 1985 309488028132.65 94181047057.82 25801403273.95 38302403273.95 1659000000.00 1.87 20.71 1986 300758100107.25 93113390307.25 26202580690.47 33592580690.47 1875000000.00 1.94 19.88 1987 272972974764.57 83416274479.82 34072853910.00 33781853910.00 2314000000.00 2.04 24.86 1988 312353631207.82 96994617160.49 44923701330.00 48984701330.00 3194000000.00 2.15 30.06 1989 347768051311.74 89049722510.12 41190793490.00 46118793490.00 3393000000.00 2.15 25.11 1990 360857912565.97 86565315650.10 49129758920.00 38461758920.00 3487000000.00 1.91 24.27 1991 383373318083.62 98541506533.10 55542659163.76 43941659163.76 4366000000.00 2.00 25.95 1992 426915712715.86 129557475949.77 66847400125.59 61849400125.59 11156000000.00 2.08 30.15 1993 444731282435.52 164960763454.80 74280328749.70 86072328749.70 27515000000.00 2.24 36.06…From the data given below construct a business activity index number both weighted and unweighted.People living in a town are grouped according to their age into five groups. The number of persons lived during a calendar year and the number of deaths recorded during the same period are as follows: Age Group (in years) 0-10 10-30 30-50 50-70 70 and above No. of Persons 5,000 10,000 15,000 10,000 2,000 No. of Deaths 125 30 30 200 1,000 Calculate crude death rate of the town.
- Period 1 2 3 4 5 6 7 Actual 42 41 39 43 45 F ? ? 2 2. Using the same table above, compute the weighted moving average forecast for demand for four latest period. With data using a weight of .40 for the most recent, .30 for the next recent, .20 the next, and .10 for the oldest. Assume actual demand for period 6 is 44, what is the forecast for period 7?Given the following data and seasonal index: Month Sales Year 1 Year 2 Jan 8 8 Feb 7 9 Mar 5 6 Apr 10 11 May 9 12 June 12 16 July 15 20 Aug 20 25 Sept 4 4 Oct 3 2 Nov 8 7 Dec 9 9 (a) Compute the seasonal index using only year 1 data. (b) Determine the deseasonalized demand values using year 2 data and year 1's seasonal indices.he following information is on food items for the years 2010 and 2018. 2010 2018 Item Price Quantity Price Quantity Margarine (pound) $ 0.81 18 $ 2.00 27 Shortening (pound) 0.84 5 1.88 9 Milk (1/2 gallon) 1.44 70 2.89 65 Potato chips 2.91 27 3.99 33 Compute a simple price index for each of the four items. Use 2010 as the base period. (Round your answers to 2 decimal places.)
- Price elasticity of demand (supply) or simply elasticity of demand (supply) measures the relative or percentage variation experienced by the quantity demanded (supplied) as a consequence of a change in the price of one percent (1%); In other words, it measures the intensity with which buyers (sellers) respond to a change in the priceprice. Elasticity is often used with respect to the price-demand relationship or the price-supply relationship, but the applicability of this concept is not restricted to that single case, but is broader, since the elasticity is calculated in percentages, since it is the only way to obtain a common unit of measure. When calculating the elasticity in arelationship, the units of measurement are maintained, therefore, they do not measure a proportional change, but a propensity, such as the well-known propensit to Keynesian consumption. The rate at which the selling price changes and from a product, with respect to its supply "x", is given by the following…7. Calculate the weighted price index from the following data : Quantity required Price during 1995 Materia! Unit 1994 i required 2$ $ 8.0 Cement Timber Steel sheet: Bricks 500 lb. 2,000 c.ft. 50 cwt. 5.0 9.5 100 lb. c.ft. 14.2 34.0 12.0 cwt. 42.0 per '000 20,000 24.0