You have an unfair coin with probability p of landing on heads. This probability is a random variable uniform in the interval [ 0 , 1 ] .
Now, you flip it and get heads. What is the probability that p > 2 1 ?
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Let H = The event that heads is flipped.
Using Baye's Theorem :
P ( p > 2 1 ∣ H ) = P ( H ) P ( H ∣ p > 2 1 ) × P ( p > 2 1 ) = ∫ 0 1 r d r ∫ 2 1 1 r d r = 4 3
Another approach is to consider the pictorial representation, which avoids having to do calculus (but it's essentially the same). I like it because it's easier to see at a glance what is happening.
Just added that as a seperate solution.
The pictorial approach is terrible.
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I like it because it allows you to visually see why the result is 4 3
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Let's take the pictorial approach. Since the distribution is uniform, the probability is represented by the corresponding area.
The cases that we land on a H are indicated by the upper right triangle.
The cases where p > 2 1 are indicated by the green region.
Hence, the probability is 4 3 .