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
Q: Which of the following statements belong/s to the area of descriptive statistics? a. An economist…
A: As per our guidelines we are supposed to answer only one question per post so I am solving first…
Q: Determine the type and level of measurement of the following variables: LEVEL TYPE (qualitative,…
A: It is been asked to find the type and level of measurement of given variables.
Q: From the following data relating to the annual wages and the price indi; determine by deflation :…
A:
Q: 49. From the following data, construct the Fisher's ideal index number : Commodity Bae year Current…
A:
Q: 26. Use the following graph to find the average rate of change of the U.S. trade deficit with Japan…
A: Given, Year Goods and services (in billions of dollar) 2007 84.3 2009 44.7 2011 63.2 2013…
Q: The variables in the data include: ID: subject ID number Age: age in years FEV: FEV in liters…
A:
Q: llustration 13.2. Construct index number of prices from the following data using (a) Laspeyre's (b)…
A:
Q: Evaluate the Paasche Price index for 2020 using 2010 as the base year for the above data. A. 117.7…
A:
Q: EXAMPLE 25. Calculate the index number for the year 2016 with 2010 as base from the following data…
A:
Q: Based on the information in the following table, use the THREE-MONTH MOVING AVERAGE Approach to…
A: Given: Period Month Demand 1 Jan 129 2 Feb 57 3 Mar 66 4 Apr 138 5 May 183 6 Jun 54…
Q: 3.9 Kenya 55 380 2.9 6.8 Indonesia 35 530 4.1 3.4 Panama 30 1910 3.1 8.6 Chile 25…
A: Country Birth rate GNP Growth Income ratio Bangladesh 47 140 0.3 2.3 Tanzania 47 280 1.9 3.2…
Q: Using the data given below calculate Price Index Numbers for the year 1958 by (i) Laspeyre's formula…
A:
Q: Compute the one-step-ahead 3-month and 6-month moving-average forecasts for July through December.…
A: Given information: The data presents the sample for the months January through December.
Q: For the data given below compare series of Simple Aggregative Price and Quantity Indices for the two…
A:
Q: The average price of a medium coffee at Wakeup Coffee Shop in each of the past ten years is given in…
A: It is required to find the average annual percentage change in price of coffee from 2005 to 2010.
Q: 10-7. Compute by Fisher's formula the Quantity Index Number from the data given belas 1996 1994…
A:
Q: A mutual find achieved the following rates of growth over an 11-month period: 3 , 2 , 7, 8 , 2 , 4 ,…
A:
Q: 16. Table 3.15 shows the number of items (in thousands) produced from a factory pro- duction line…
A: An index number may be defined as the specialised average designed to measure the change in the…
Q: Considering the aggregated demand for coffee beans for the following months shown below, what would…
A: The following information has been provided: Period (Month) Actual demand 1 455300 2 249422…
Q: e 8. From the data given below compute quantity index for 1983. Commodity Quantity in Price in 1982…
A:
Q: Tuna 50,779 1.87 1.97 (a) Compute the index number (price relative) for each type of seafood. (Round…
A:
Q: The records shown in the table provide an excellent opportunity for you to assist them with their…
A:
Q: 8. From the data given below compute quantity index for 1983. Commodity Quantity in Price in 1982…
A:
Q: Compute by a suitable method the Index Number of quantity from the data given below : 2010 2016…
A: Index number is a measure that used to measure the variability in the variable with respect to time,…
Q: 9. Using Paasche's formula, compute the quantity index for the year 1983 with 1975 as base.…
A: Paasche's quantity index formula for the current year with the base year is given by…
Q: My Data: 0.061 g/mL Class Data: 0.0497 g/mL 0.0449 g/mL Based on my data value of 0.061, is the…
A:
Q: ollowing le 10-19. An enquiry into the budgets of middle class familles information : Fuel Others…
A: i) Weighted A.M. of price-relatives is mathematically given as: I01=∑ip1ip0iwi∑iwi Here, wi is the…
Q: Table 1. Violent victimization, by type of crime, 2016, and 2017 Appendix table 3. Standard errors…
A: The 95% confidence interval for the estimation of the number of Rape/sexual assault is .
Q: Min 3+.. 2%,+322 1x, 7,125 1x₁ + 1x₂ 71 350 2x + 1x₂ = 600 24x2710 Demand for Pr Total Profuc…
A: Topic:- application of algebra
Q: Choose the best description for the given variable: a. country of birth O qualitative-nominal O…
A: Given, country of birth Period of birth
Q: calculate the geometric mean of the annual hpr and hpy
A: Given the data…
Step by step
Solved in 2 steps with 2 images
- 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
