Suppose there is a chance for a newly constructed building to collapse whether the design is faulty or not. The chance that the design faulty is 10%.the chance that the building collapse is 95% if the design is faulty and otherwise it is 45%.It is seen that the building collapsed. What is the probability that it is due to faulty design issued by suburbs?
Let us denote the events as follows:
F= The design is faulty
C=The building collapses
Then, we are given the probabilities:
"P(F)=10\\; \\%=0.1 \\\\\n\nP(\\bar{F})=1-0.1=0.9 \\\\\n\nP(C|F)=95\\; \\%=0.95 \\\\\n\nP(C| \\bar{F})=45\\; \\%=0.45"
The required probability is P(F|C), which, using Bayes’ theoreme, can be obtained as:
"P(F|C)= \\frac{P(F)P(C|F)}{P(F)P(C|F) +P(\\bar{F})P(C| \\bar{F})}\\\\\n\n=\\frac{0.1 \\times 0.95}{0.1 \\times 0.95 + 0.9 \\times 0.45} \\\\\n\n= 0.19"
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