What is the expected annual revenue for expanding to dogs under 30 pounds, given strong economy probability 60% and weak economy probability 40%?

Prepare for the PHFO Quantitative Analysis For Business Exam. Study with flashcards, multiple choice questions, hints, and explanations to ensure confidence and success in your exam!

Multiple Choice

What is the expected annual revenue for expanding to dogs under 30 pounds, given strong economy probability 60% and weak economy probability 40%?

Explanation:
The idea being tested is how to compute an expected value when there are multiple scenarios. You take the revenue in each scenario and weight it by its probability, then add the results together. In this case, if a strong economy yields S dollars and a weak economy yields W dollars, with probabilities 0.60 and 0.40 respectively, the expected annual revenue is 0.60×S + 0.40×W. Using the revenues given for the two economy states, this weighted average comes out to $19,000. For example, if strong economy produces $20,000 and weak economy $17,500, the calculation is 0.60×20,000 + 0.40×17,500 = 12,000 + 7,000 = 19,000. That matches the option representing $19,000, making it the correct choice. Other options would require different pairings of S and W that don’t fit the scenario data.

The idea being tested is how to compute an expected value when there are multiple scenarios. You take the revenue in each scenario and weight it by its probability, then add the results together. In this case, if a strong economy yields S dollars and a weak economy yields W dollars, with probabilities 0.60 and 0.40 respectively, the expected annual revenue is 0.60×S + 0.40×W.

Using the revenues given for the two economy states, this weighted average comes out to $19,000. For example, if strong economy produces $20,000 and weak economy $17,500, the calculation is 0.60×20,000 + 0.40×17,500 = 12,000 + 7,000 = 19,000. That matches the option representing $19,000, making it the correct choice. Other options would require different pairings of S and W that don’t fit the scenario data.

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