8 Selling electric power. Researchers for the University of Maryland Department of Civil and Environmental Engineering used stochastic dynamic programming to determine optimal load estimates for electric power (Journal of Energy Engineering, Apr. 2004). One objective was to determine the probability that a supplier of electric power would reach or exceed a specific net profit goal for varied load estimates. All load estimates in the study yielded a probability of .95. Consider two different suppliers of electric power (Supplier A and Supplier B) acting independently. a. What is the probability that both suppliers reach their net profit goal? b. What is the probability that neither supplier reaches its net profit goal? c. What is the probability that either Supplier A or Supplier B reaches its net profit goal?

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8 Selling electric power. Researchers for the University of
Maryland Department of Civil and Environmental Engineering used stochastic dynamic programming to determine optimal load estimates for electric power (Journal of
Energy Engineering, Apr. 2004). One objective was to determine the probability that a supplier of electric power
would reach or exceed a specific net profit goal for varied
load estimates. All load estimates in the study yielded a
probability of .95. Consider two different suppliers of electric power (Supplier A and Supplier B) acting independently.
a. What is the probability that both suppliers reach their
net profit goal?
b. What is the probability that neither supplier reaches its
net profit goal?
c. What is the probability that either Supplier A or Supplier
B reaches its net profit goal?

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