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

In summary, the probability of the road flooding is \(0.03\) or \(3\%\) based on the given information.
  • #1
Dustinsfl
2,281
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?
 
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  • #2
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?
 
  • #3
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.

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

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

What is conditional probability?

Conditional probability is a measure of the likelihood that an event will occur given that another event has already occurred. It is typically denoted as P(A|B), which represents the probability of event A occurring given that event B has occurred.

How is conditional probability calculated?

Conditional probability is calculated using the formula P(A|B) = P(A and B) / P(B), where P(A and B) is the probability of both events A and B occurring, and P(B) is the probability of event B occurring.

What is the difference between conditional and unconditional probability?

Unconditional probability, also known as marginal probability, is the probability of an event occurring without any additional information. Conditional probability takes into account additional information or a specific condition, and therefore may differ from the unconditional probability.

What are some real-life applications of conditional probability?

Conditional probability has various real-life applications, such as in weather forecasting, medical diagnosis, and risk assessment. It is also commonly used in fields such as finance, marketing, and economics to make informed decisions based on past data and current conditions.

How does the concept of independence relate to conditional probability?

Two events are considered independent if the occurrence of one event does not affect the probability of the other event occurring. In this case, the conditional probability is equal to the unconditional probability. If the events are not independent, the conditional probability will differ from the unconditional probability.

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