Before the board meeting the CEO obtained a market demand forecast report. in the past, when the demand was high, the forecast indicated high demand 80% of the time. When the demand was low, the forecast indicated low demand 70% of the time. The latest forecast indicates high demand. a Compute the revised probabilities with Bayes rule now that you know that the latest forecast indicates bigb demand. b. Interpret the impact of the latest forecast on the prior probabilities

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The CEO must present a plan to the board whether to build a small plant or a large plant for the company. The payoff table (in S) is as follows:
Action
Event
Probability Small plant
Large plant
High demand 0.65
270
195
480
Low demand 0.35
100
Before the board meeting, the CEO obtained a market demand forecast report. in the past, when the demand was high, the forecast indicated high demand 80% of the
time. When the demand was low, the forecast indicated low demand 70% of the time. The latest forecast indicates high demand.
a. Compute the revised probabilities with Bayes' rule now that you know that the latest forecast indicates high demand.
b. Interpret the impact of the latest forecast on the prior probabilities
Transcribed Image Text:ve Aswe The CEO must present a plan to the board whether to build a small plant or a large plant for the company. The payoff table (in S) is as follows: Action Event Probability Small plant Large plant High demand 0.65 270 195 480 Low demand 0.35 100 Before the board meeting, the CEO obtained a market demand forecast report. in the past, when the demand was high, the forecast indicated high demand 80% of the time. When the demand was low, the forecast indicated low demand 70% of the time. The latest forecast indicates high demand. a. Compute the revised probabilities with Bayes' rule now that you know that the latest forecast indicates high demand. b. Interpret the impact of the latest forecast on the prior probabilities
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