From the following data construct a price index number of the group of four commodities by using fisher's ideal formula: Base year Price per unit Current year Expenditute ($) price per unit Expenditure ($) commodity 40 75 16 8 40 10 2 24 D 25 10 60 15
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- Suppose one canoe rents for 40,and2 is taken off the price for each additional canoe rented by a ground. What size group gives the most income? Assume that there are 20 canoes available.Construct index number of price from the following data byapplying: Marshall-Edgeworth’s methodand comment on the results. Commodity Price Quantty Price QuanttyA 2 8 4 6B 5 10 6 5C 4 14 5 10D 2 19 2 13The following table is a selection of average prices for a gallon of gas in the United States. Year Gas Price Index Value 2000 $1.48 [A] 2001 $1.42 [B] 2004 $1.85 [C] 2007 $2.80 [D] Build an index from these values, using 2001 as the base year. Round each index value to the nearest tenth. [A] = [B] = [C] = [D] =
- Construct index number of price from the following data byapplying: 1)Paasche’s method Commodity Price Quantty Price QuanttyA 2 8 4 6B 5 10 6 5C 4 14 5 10D 2 19 2 13In a particularly small region in the Philippines, the consumer price index C depends onThe following table indicates the unit prices (in Rands) and quantities of three goods held in the national warehouse of a DIY (“do it yourself”) store for the years 2020 and 2021. ITEM 2020 unit price 2020 quantity 2021 unit price 2021 quantity MINERAL SPIRITS R 17.70 30 R20.70 45 10mm spanner R37 60 R49 50 25mm brush R 42 30 R48 40 Again, using 2020 as the base year, compute the Paasche price index for all of the items for 2021. Interpret your answer.
- The following table provides information on the number of claims (in 1 000s), as well as the average value of claims (in R 1000) for the year 2003 and 2006 at a certain medical aid. Type of claim 2003 2006 Number of claims Average claim Number of claims Average claims G.practitioners 22 42 32 56 Medicine 55 120 78 158 Dental 16 190 26 180 Specialist 36 220 28 260 Hospitalisation 18 360 20 420 Find the Paasche quantity indices for 2006 with 2003 as the base period for the claims of the medical aid company.The following table gives the prices of some food items in the base year and current year and the quantities sold in the base year and current year. Commodity 2000 2005 Price (K) Quantity Price (K) Quantity A 15 15 22 12 B 20 5 27 4 C 4 10 7 5 Compute the following price index numbers for 2005 from the above table: Laspeyre’s price index number Paasche’s price index numberBelow are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants. Annual Sales Growth (px;) and Loyalty Card Usage (px; of Net Sales)(n = 74 restaurants) Store Growth% Loyalty% Store Growth% Loyalty% 1 -7.8 0.7 38 7.3 1.5 2 -6.9 2.5 39 7.4 1.7 3 -5.1 1.6 40 7.7 2.3 4 -4.7 1.4 41 8.0 2.0 5 -3.8 2.5 42 8.0 1.6 6 -1.7 1.5 43 8.3 1.9 7 -1.7 2.6 44 8.4 2.0 8 -1.6 2.4 45 8.6 2.2 9 -1.1 2.2 46 8.6 1.6 10 -1.0 1.9 47 8.7 0.9 11 0.4 1.2 48 8.9 1.7 12 0.6 0.5 49 9.4 1.6 13 0.6 2.1 50 9.5 1.3 14 1.0 1.3 51 9.5 2.1 15 1.3 2.0 52 10.5…
- Suppose the table gives the number N(t), measured in thousands, of minimally invasive cosmetic surgery procedures performed in the United States for various years t. t N(t) (thousands) 2000 5,490 2002 4,897 2004 7,455 2006 9,138 2008 10,882 2010 11,561 2012 13,075 Construct a table of estimated values for N'(t). (Use a one-sided difference quotient with an adjacent point for the first and last values, and the average of two difference quotients with adjacent points for all other values. Round your answers to two decimal places.)Which EWMA chart below will yield ARL performance most close to that of cusum chart with k=1/2 and h=5? a. L=2.814, lamda=0.10 b. L=2.615, lamda=0.05 c. L=2.998, lamda=0.25 d. L=3.054, lamda=0.40 e. L=2.962, lamda=0.20The following table shows the weekly total sales (in dollars) at a small roadside fruit stand for the months of April through July. Month Weekly Sales April 839 1271 1109 1075 May 868 1233 986 966 June 1168 1037 1130 1185 July 888 1017 913 1178 Can you conclude that the weekly sales varies with the month? Use the 2% level of significance.