Discrete Mathematics
# Conditional Probability

You flip a coin and roll a die. Let \(H\) be the event you flip a heads and let \(F\) be the event that you roll a 4. What is \(P\left(H\ | \ F\right)?\)

Note: \(P\left(H\ | \ F\right)\) denotes the probability of \(H\) occurring *given that* \(F\) occurs.

A disease test is advertised as being 99% accurate: if you have the disease, you will test positive 99% of the time, and if you don't have the disease, you will test negative 99% of the time.

If 1% of all people have this disease and you test positive, what is the probability that you actually have the disease?

In general, the probability that it rains on Saturday is 25%.

If it rains on Saturday, the probability that it rains on Sunday is 50%. If it does not rain on Saturday, the probability that it rains on Sunday is 25%.

Given that it rained on Sunday, what is the probability that it rained on Saturday?

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