Your question is Probability with Biased Coins. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Tell me about your approach to computing the probability that a specific coin is the biased one given outcomes from several tosses with a collection of coins that includes a biased coin.
Assume exactly one of 10 coins is biased, its head probability is known, and the remaining coins are fair. Explain how you would calculate the posterior probability for a selected coin after observing its toss outcomes. State the assumptions, show the calculation for the illustrative inputs below, and explain how the method generalizes when multiple coins have observed outcomes.
