What is the Probability of Road Flooding Given Rain and Sewer Overflow?

Click For Summary
SUMMARY

The probability of road flooding given rain and sewer overflow is calculated using the formula \(P[\text{flooding}] = P[A] \cdot P[B|A] \cdot P[C|A,B]\). With a \(20\%\) chance of rain, a \(50\%\) chance of sewer overflow if it rains, and a \(30\%\) chance of road flooding if the sewer overflows, the overall probability of flooding is \(0.03\) or \(3\%\). This calculation corrects the misunderstanding of conditional probabilities in the original discussion, where an incorrect approach yielded \(0.375\).

PREREQUISITES
  • Understanding of conditional probability
  • Familiarity with probability notation and events
  • Basic knowledge of probability multiplication rule
  • Ability to interpret and manipulate mathematical formulas
NEXT STEPS
  • Study the law of total probability
  • Learn about Bayesian probability and its applications
  • Explore advanced topics in conditional probability
  • Review examples of real-world applications of probability in risk assessment
USEFUL FOR

Students of statistics, data analysts, meteorologists, and anyone interested in understanding the mathematical modeling of risk and probability in environmental contexts.

Dustinsfl
Messages
2,217
Reaction score
5
It is known that if it rains, there is a \(50\%\) chance that a sewer will overflow. Also, if the sewer overflows, then there is a \(30\%\) chance that the road will flood. If there is a \(20\%\) chance that it will rain, what is the probability that the road will flood?

Let A be the probability that it will rain, B the probability that the road will flood, and C the probability that the sewer will flood.
What have is then
\[
P[B|A] = \frac{P[A|B]P}{P[A|B]P + P[A|C]P[C]}
\]
However, this is incorrect. The book says the answer is \(0.03\), and I get \(0.375\).
How should the conditional probability be broken up?
 
Physics news on Phys.org
dwsmith said:
It is known that if it rains, there is a \(50\%\) chance that a sewer will overflow. Also, if the sewer overflows, then there is a \(30\%\) chance that the road will flood. If there is a \(20\%\) chance that it will rain, what is the probability that the road will flood?

Let A be the probability that it will rain, B the probability that the road will flood, and C the probability that the sewer will flood.
What have is then
\[
P[B|A] = \frac{P[A|B]P}{P[A|B]P + P[A|C]P[C]}
\]
However, this is incorrect. The book says the answer is \(0.03\), and I get \(0.375\).
How should the conditional probability be broken up?


We are not asked to find $P[B|A]$ because it isn't given that $A$ occurs. We also don't have a way to find $P[A|B]$ and $P[A|C]$ from this info. Using the events you've listed, we are asked to find $P$.

Think of it this way. In order to flood, it must rain, the sewer must overflow and the road must flood (since this doesn't always happen). How can we account for all of these events at once?
 
Just to wrap up the thread for future reference, the probability of the road flooding can be found by multiplying the three events I mentioned in the post above.

Let $A$ be the probability that it will rain, $B$ be the probability that the sewer will overflow and $C$ be the probability that the road will flood.

$P[ \text{flooding}]=P[A] \cdot P[B|A] \cdot P[C|A,B]=(.2)(.5)(.3) = .03$
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 7 ·
Replies
7
Views
876
  • · Replies 29 ·
Replies
29
Views
4K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 36 ·
2
Replies
36
Views
5K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
Replies
3
Views
1K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K