In: Statistics and Probability
Please give an example of when using the probability
an event will occur is important to decision making.
Why?
=>probability can be used to aid the decision–making process.
=>For example, suppose we’re considering launching a new product on the market.
=>We conduct a pre–launch questionnaire and 86 out of the 100 questionnaire respondents say that they would buy our product if it was on the market.
=>We might translate this into the following probability statement:
P(product successful) = 86 100 = 0.86,
=>which is quite good, and so surely we should launch the product. It looks promising! But . . . we should also consider the financial outcome of our situation.
=>For example, if the product is successful, we might make a reasonable profit, but if the product is not successful, we could stand to lose a lot more than we would gain under success (set–up costs, advertising, production costs etc), and such financial considerations could outweigh the high probability of success alone.
=>So, in real–life scenarios, not only do we use probability to aid the decision–making process, but we also take into account the financial implications of our decisions.
=>This is achieved by weighting the probability of different outcomes by their value, which is often financial.
=>The Expected Monetary Value (EMV ) of a single event is simply the probability of that event multiplied by the monetary value of that outcome
Another Example:
=> When rolling a die, if it’s a six you have to pay £5 but if it’s any other number you receive £2.50. Would you take on this bet?
Probability Financial outcome
P(6) = 1/6 –£5
P(Not a 6) = 5/6 £2.50
Therefore
EMV (Six) = 1 6 × −5.00 = −0.833
EMV (Not a Six) = 5 6 × 2.50 = 2.0833
and hence the expected monetary value of the bet is
EMV (Bet) = −0.833 + 2.083 = 1.25.
Therefore, in the long run, this would be a bet to take on as it has a positive expected monetary value.