Chapter 2: Problem 7
Suppose a coin having probability \(0.7\) of coming up heads is tossed three times. Let \(X\) denote the number of heads that appear in the three tosses. Determine the probability mass function of \(X\).
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Chapter 2: Problem 7
Suppose a coin having probability \(0.7\) of coming up heads is tossed three times. Let \(X\) denote the number of heads that appear in the three tosses. Determine the probability mass function of \(X\).
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Suppose that each coupon obtained is, independent of what has been previously obtained, equally likely to be any of \(m\) different types. Find the expected number of coupons one needs to obtain in order to have at least one of each type. Hint: Let \(X\) be the number needed. It is useful to represent \(X\) by $$ X=\sum_{i=1}^{m} X_{i} $$ where each \(X_{i}\) is a geometric random variable.
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Show that the sum of independent identically distributed exponential random variables has a gamma distribution.
For the multinomial distribution (Exercise 17), let \(N_{i}\) denote the number of times outcome \(i\) occurs. Find (i) \(E\left[N_{i}\right]\); (ii) \(\operatorname{Var}\left(N_{i}\right)\) (iii) \(\operatorname{Cov}\left(N_{i}, N_{j}\right)\); (iv) Compute the expected number of outcomes that do not occur.
If a fair coin is successively flipped, find the probability that a head first appears on the fifth trial.
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