# Probability

Let Θ be a continuous random variable that represents the unknown bias (i.e., the probability of Heads) of a coin.

a) The prior PDF fΘ for the bias of a coin is of the form

fΘ(θ)=aθ9(1−θ), for θ∈[0,1],

where a is a normalizing constant. This indicates a prior belief that the bias Θ of the coin is

1. 👍 0
2. 👎 0
3. 👁 761
1. 1. High
2. 10
3. 10

1. 👍 3
2. 👎 0

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