Examine the Paasche's weighted aggregative method and the weighted price relative method in the light of the order reversal test with reference to the data given below : 1995 1998 Items Price Quantity Price Quantity 4 50 10 40 3 10 9 12 2 5 4 3 5 20 8 Also examine the Laspeyre's method in the same light. PORS
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- Only 2.44. I was able to convince the plan manager to allow me to make the change to the larger production plant. My job's on the line now! So I am monitoring it pretty closely. Here are the results for the day: Table 4. Production rate from pilot plant demonstration tests. Run # 1 2 3 4 5 P (pounds per hour) 2200 2200 2300 2200 2300 From these data, please estimate: a. Estimate the Type A uncertainty in these measurements. Be sure to include the units. b. Estimate the Type B uncertainty associated with these measurements. Be sure to include units. C. Determine the uncertainty in the measurement of pressure in the cylinder. Be sure to include units. State your answer as average +/- uncertainty.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.
- A group of researchers carried out a survey of household expenditure for an average family and the data are shown in Table 3. Table 3 Commodity 2016 2017 Quantity 105 Price Quantity 100 Price Rice (kg) Bread (loaf) Cocoa powder (kg) Milk (liter) Sugar (kg) 7.30 8.60 3.02 16 3.10 18 10.26 25 7.83 33 6.10 56 6.55 78 2.85 11 2.95 15 (i) Compute the Average Price Relative (APR) index for 2016 and 2017, using 2016 as the base year. (ii) Calculate Paasche Price Index for 2017 (year 2016 = 100). Interpret the answer. (iii) Calculate Laspeyres Price Index for 2017 (year 2016 = 100). Interpret the answer. (iv) Calculate the Fisher's Price index.3) Two suppliers are bidding for a customer's business. Both are similar in cost, percentage of on-time deliveries, etc. The final decision will be based on which supplier provides the "best" quality. The process outputs for suppliers A and B are displayed below. Supplier A's process has half the variation as B's, but is centered halfway between the middle of the tolerance and the USL, with 0.1% above the USL. Supplier B, on the other hand, is centered exactly at the middle of the tolerance, with 0.1% of its output outside each of the two specifications. Other estimates: SD (A): 0.809 SD (B): 1.618 Supplier A 52.5 Supplier B Supplier A has 0.5% 0.5% defects 0.25% 0.25% Supplier B has 0.25 % defective both sides LSL-45 50 USL-56 Questions 3||3a) What is the Cp of Supplier A? 4||3b)What is the Cp of Supplier B? 5||3c) What is the Cpk of supplier A? 6||3d) What is the Cpk of Supplier b? 7||3e) Who should get the bid award? 8||3f) Per 1000 products, how many good products has Supplier A…A large manufacturer purchases an identical component from three independent suppliers that differ in unit price and quantity supplied. The relevant data for 2012 and 2014 are given here. Unit Price ($) Supplier Quantity (2012) 2012 2014 A 150 5.95 6.50 B 100 5.60 5.95 160 5.50 6.70 (a) Compute the price relatives (index number) for each of the component suppliers separately using 2012 as the base year. (Round your answers to the nearest integer.) Item Price Relative A В Compare the price increases by the suppliers over the two-year period. --Select--- v prices increased, with the greatest price relative being from supplier -Select--- v and the smallest price relative being from supplier -Select--- v (b) Compute an unweighted aggregate price index for the component part in 2014. (Round your answer to the nearest integer.) I 2014 = (c) Compute a 2014 weighted aggregate price index for the component part. (Round your answer to the nearest integer.) I2014 - What is the interpretation of…
- Table 1. The manager of Carpet City outlet store needs to be able to forecast accurately demand for Soft Shang carpet. Demand for the past 20 weeks appears in table 1 below. week Demand Forecast Error ABS. Dev Squared Error APE 1 20 2 28 3 22 4 18 5 22 6 22 7 22 8 26 9 23 10 23 11 23 12 27 13 25 14 22 15 23 16 14 17 14 18 15 19 11 20 16 21 22 23 24…An article in Technometrics by S. C. Narula and J. F. Wellington ["Prediction, Linear Regression, and a Minimum Sum of Relative Errors" (Vol. 19, 1977)] presents data on the selling price and annual taxes for 24 houses. The data are shown in the following table. Xis taxes paid. Taxes (Local, School), Price/1000 County)/1000 Sale 25.9 4.9176 29.5 5.0208 27.9 4.5429 25.9 4.5573 29.9 5.0597 29.9 3.8910 30.9 5.8980 28.9 5.6039 35.9 5.8282 31.5 5.3003 31.0 6.2712 30.9 5.9592 (a) Assuming that a simple linear regression model is appropriate, obtain the regression equation applicable and compute for the coefficient of determination. (b) Test the significance of the correlation coefficient. (c) Find the mean selling price given that the taxes paid is 6.111. (d) Construct a 95% Confidence Interval for the mean selling price computed in (C). Use the editor to formot your answeri am super confused
- 6. From the following data construct a price index number of the group of four commodities by using the appropriate formula : Commodity Pog Expenditure (Rs.) Price per unit Base Year Current Year Price per unit Expenditure (Rs.) TAT 40 75 bodlomvtisgos datow ordt 1 esvitsleo ogerovA beeioW bairigiev.C slil Viisle Dlo sg.SoVs bo 5tow siugmo 25 ofdieeoq oe 10 el di boriem 60slot 8 40 24 1 bolugmoo jol0 STOW eovitslonoohq ovods btupeibSuppose there are three fare classes in an airline fares p1 = $300, p2 = $200, and p3 = $100. You want to utilize the EMSR-b heuristic to calculate the protection level for classes 1 and 2 together. The demand distribution for class 1 is Normal with mean 50 and standard deviation 5. The demand distribution for class 2 is Normal with mean 75 and standard deviation 12. What is the price for the virtual class 1-2 under EMSR-b?A. Identify the Level of Measurement for each of the following variables 1. Price of raw materials 2. Aperson's occupation 3. Advertising costs 4. Length of time before a device fails 5. "Star" rating of hotels. 6. Product satisfaction as "Very Unsatisfied, Fairly unsatisfied, until Very satisfied" 7. Types of investments (Stocks, Bonds, others) 8. Standardized exam score (eg. Board exam score) 9. Time (in minutes) it takes students to complete a statistics test 10. Time to execute a command in a computer program B. Identify if the quantity reported is a Parameter or a Statistic 1. Inastudy of Filipino Airlines flights from Japan tothe Philippines, 68 flights are randomly selected and the average (mean) arrival time is 9.2 minutes late. 2. A sample of 120 employees of a company is selected, and the average age is found to be 37 years. 3. Ina study of 320 babies born at four different hospitals in Baguio, it was found that the average weight at birth was 3.175 kgs. 4. Afterinterviewing…