An economics consulting firm has created a model to predict recessions. The model predicts a recession with a probability of 80% when a recession is indeed coming and with a probability of 10% when no recession is coming. The unconditional probability of falling into a recession is 20%. If the model predicts a recession, what is the probability that a recession will indeed come?
P(Predict recession | recession coming) = 0.80
P(Predict recession | no recession coming) = 0.10
P(recession coming) = 0.20
By using the Bayes theorem formula:
P(recession coming | Predict recession) "= \\frac{P(Predict \\;recession | recession \\;coming) \\times P(recession \\;coming)}{P(Predict \\;recession | recession \\;coming) \\times P(recession \\;coming) + P(Predict \\;recession | recession \\; not \\; coming) \\times P(recession \\; not \\; coming)}"
P(recession not coming) = 1 -P(recession coming) = 1 -0.20 = 0.80
P(recession coming | Predict recession) "= \\frac{0.80 \\times 0.20}{0.80 \\times 0.20 + 0.10 \\times 0.80}"
"= \\frac{0.16}{0.24} \\\\\n\n= 0.6666"
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