Statistics for Business & Economics, Revised (MindTap Course List)
Statistics for Business & Economics, Revised (MindTap Course List)
12th Edition
ISBN: 9781285846323
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: South-Western College Pub
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Chapter 20, Problem 18SE

a.

To determine

Find the price relative for each product.

b.

To determine

Find the weighted aggregate price index that reflects the shipping cost change over the four-year period.

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The table below shows monthly data collected on production costs and on the number of units produced over a twelve month period. Month Total Production Cost Level of Activity (units Produced) July $230,000 3,500 August 250,000 3,750 September 260,000 3,800 October 220,000 3,400 November 340,000 5,800 December 330,000 5,500 January 200,000 2,900 February 210,000 3,300 March 240,000 3,600 April 380,000 5,900 May 350,000 5,600 June 290,000 5,000 Using the information above answer both questions below 1.  Prepare the scatter diagram, clearly showing any outliers.2.  Using the line of best-fit, determine the company’s fixed cost per month and the variable cost per unit. (Use 0 & 5,000 units.)
The prices and the numbers of various items produced by a small machine and stamping plant are reported below. Use 2010 as the base.    2010   2018 Item Price Quantity   Price Quantity Washer $ 0.07   17,000     $ 0.10   20,000   Cotter pin   0.04   125,000       0.03   130,000   Stove bolt   0.15   40,000       0.15   42,000   Hex nut   0.08   62,000       0.10   65,000       a. Determine the simple price indexes. (Round your answers to 2 decimal places.) b. Determine the simple aggregate price index for the two years. (Round your answer to 2 decimal places.) c. Determine the Laspeyres price index. (Round your answer to 2 decimal places.) d. Determine the Paasche price index. (Round your answer to 2 decimal places.) e. Determine Fisher's ideal index. (Round your answer to 2 decimal places.)
Given the following data for demand at the XYZ Company, calculate the monthly forecast for 2003 using a 3-month moving average. Calculate the Forecast, Error, MAD (mean absolute percentage error), Bias and the TS (tracking signal) .
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