28. The Business School at State University currentlyhas three parking lots, each containing 155 spaces.Two hundred faculty members have been assignedto each lot. On a peak day, an average of 70% of alllot 1 parking sticker holders show up, an average of72% of all lot 2 parking sticker holders show up, andan average of 74% of all lot 3 parking sticker holdersshow up.a. Given the current situation, estimate the probabilitythat on a peak day, at least one faculty memberwith a sticker will be unable to find a spot. Assumethat the number who show up at each lot is independent of the number who show up at the othertwo lots. Compare two situations: (1) each personcan park only in the lot assigned to him or her, and(2) each person can park in any of the lots (pooling).(Hint: Use the RISKBINOMIAL function.)b. Now suppose the numbers of people who showup at the three lots are highly correlated (correlation 0.9). How are theresults different from thosein part a

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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28. The Business School at State University currentlyhas three parking lots, each containing 155 spaces.Two hundred faculty members have been assignedto each lot. On a peak day, an average of 70% of all
lot 1 parking sticker holders show up, an average of72% of all lot 2 parking sticker holders show up, andan average of 74% of all lot 3 parking sticker holdersshow up.a. Given the current situation, estimate the probabilitythat on a peak day, at least one faculty memberwith a sticker will be unable to find a spot. Assumethat the number who show up at each lot is independent of the number who show up at the othertwo lots. Compare two situations: (1) each personcan park only in the lot assigned to him or her, and
(2) each person can park in any of the lots (pooling).
(Hint: Use the RISKBINOMIAL function.)
b. Now suppose the numbers of people who show
up at the three lots are highly correlated (correlation 0.9). How are theresults different from thosein part a

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