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- February 1, 2018 at 12:03 pm #434413
Hi, would you be so kind as to help me understand what I’m doing wrong in the following question, please?
Question #214 of CIMA Official Exam Practice Kit by Kaplan, published in 2017:
“A company knows that sales for a new product will either be at a high level, or at a low level. There is a 65% chance that sales will be at a high level. A market research company will predict the future sales level. Their forecasts are known to be correct 85% of the time.If the company receives a forecast of low sales from the market researchers, what is the probability that they will subsequently achieve high sales?”
Suggested Solution: “24.68%”.
I structured my answer the following way.
Forecast | High Sales (65%) | Low Sales (35%) |
—————————————————————————-|
Correct (85%) | .85*.65 = .5525 | .85*.35 = .2975 | 85%
Incorrect (15%) | .15*.65 = .0975 | .15*.35 = .0525 | 15%
—————————————————————————-|
Sales 65% 35% | 100%Since the company is correct 85% of the time the sum of that row must equal 85% and the same is true for when they are incorrect. By the same token, the columns pertaining to High Sales should be multiplied by .65 and the rows for the Correct forecast should be multiplied by .85 and so on.
So the question wants to know the probability that the forecasting company incorrectly predicts low sales (.0525), but sales actually turn out to be high (.65), therefore .0525/.65 = 8%
Thanks for the help once again.
February 11, 2018 at 10:02 pm #436479Hi, this is Bayes theory & is quite tricky
Its saying what is the probability of sales being incorrectly predicted as low but being high.
which is 65% x 15% = 9.75%Then taking this over the the total probability of predicting low sales whether prediction is incorrect or correct.
High sales – but incorrectly predicted as low…. OR (so we add) …. low sales correctly predicted as low
(65% x 15%) + (35% x 85%) = 9.75%+29.75% = 39.5%So 9.75%/ 39.5% =24.68%
Hope this makes sense.
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