Answer:
Given that the forecast is a favorable market. there is a 91% of chances the market will actually be favorable.
Step-by-step explanation:
This problem can be solved applying the Bayes theorem.
List of events:
F: market favorable
FF: forecast a favorable market
NF: market not favorable
FNF: forecast a not-favorable market
The information we have is:
P(FF | F) = 0.85
P(FF | NF) = 0.20
P(F) = 0.70
Now we need to calculate the chances of having a favorable market given that the forecast gives a favorable market P(
[tex]P(F|FF)=\frac{P(FF | F)*P(F)}{P(FF | F)*P(F)+P(FF|NF)*P(NF)}\\\\P(F|FF)=\frac{0.85*0.70}{0.85*0.70+0.20*0.30}=\frac{0.595}{0.595+0.060}=\frac{0.595}{0.655}= 0.91[/tex]
Given that the forecast is a favorable market. there is a 91% of chances the market will actually be favorable.