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This document provides a detailed breakdown of the answers to Practice Exam #3 for BE101, scheduled for May 7 from 4:00 to 5:45 PM. Key components include a maximum expected finish (MAX EF) of 24 for part (a), identification of the critical path through nodes A-C-E-F, and calculations concerning variance and standard deviation of 5.2 and 2.28, respectively. Additionally, it covers Bayes' rule applications related to profit probability. Essential concepts like cumulative probability and shortest route analyses are also highlighted, offering a thorough resource for exam preparation.
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Answers to Practice Exam #3 • Exam May 7 4:00-5:45PM since BE101 has 6:00PM class • C-4 due May 9 • Set 9 due May 9
1C: • CRITICAL PATH VARIANCE= SUM OF VARIANCES ON CP= VARIANCES OF A,C,E,F = 4+.6+.5+.1=5.2 =5.2 • STANDARD DEVIATION = SQUARE ROOT OF 5.2 = 2.28
NORMAL TABLE • Z=(27-24)/2.28 = 1.32 • ROW 1.3 • COL 0.02 = .02 • CUMULATIVE PROB = .5 + .4066 = .9066 FROM TAYLOR, P 738
3. BAYES RULE • P(PROFIT)=.52 • P(S|PROFIT)=.85 • P(S|NOT PROFIT) = .25 • S= SUCCESSFUL • P(UNPROFITABLE)=1-P(PROFIT)= 1-.52=.48
P(PROFIT|S) • .85*.52 = .79 .85*.52+ .25*.48