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An ideal unbiased coin might not correctly model a real coin, which could be biased slightly one way Problem 1. Given a biased coin that comes up heads with some probability greater than one-half...2. the coin is fair i.e. the probability of tails is the same as heads, P(T) <=> P(H) 3. the coin tossing is stateless operation i.e. the coin does not and can not "remember" last result 4. from the previous assumptions follows that given any sequence of coin tossing results, the next toss has the probability P(T) <=> P(H) Probability Questions with Solutions. Tutorial on finding the probability of an event. Two coins are tossed, find the probability that two heads are obtained. Note: Each coin has two possible outcomes...