EBK OM
EBK OM
6th Edition
ISBN: 9781305888210
Author: Collier
Publisher: YUZU
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Chapter 12, Problem 2PA
Summary Introduction

Interpretation: Average Inventory value needs to be calculated based on the given information.

Concept Introduction: Inventory turnover helps in finding how many numbers of times a company must purchase inventory over a specified period to sustain in the market.

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Josh Smith, the materials manager at a retail store, has determined that a particular product experienced 5 turns last year, with an annual sales volume of $15 million. What was the average inventory value for this product last year? $2.5 million $2.75 million $3 million $5 million
Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows:   MONTH DEMAND (UNITS) January 4,120 February 4,220 March 3,920 April 4,320 May 4,920 June 4,620 July 5,220 August 4,820 September 5,320 October 5,620 November 6,220 December 5,920     a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.)     b. To be reasonably confident of meeting demand, Nina decides to use 3 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round…
Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows:  MONTH          DEMAND (UNITS)  January                4,220  February              4,320  March                  4,020  April                     4,420   May                     5,020  June                    4,720  July                     5,320  August               4,920  September         5,420  October             5,720  November         6,320  December         6,020 Using linear regression analysis, what would you estimate demand to be for each month next year? (Round two decimal places)  To be reasonably confident of meeting demand, Nina decides to use 3 standard errors of estimate for safety. How many additional units…
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