Chapter 2: Problem 18
Show that when \(r=2\) the multinomial reduces to the binomial.
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Chapter 2: Problem 18
Show that when \(r=2\) the multinomial reduces to the binomial.
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Suppose a dic is rolled twice. What are the possible values that the following random variables can take on? (i) The maximum value to appear in the two rolls. (ii) The minimum value to appear in the two rolls. (iii) The sum of the two rolls. (iv) The value of the first roll minus the value of the second roll.
An individual claims to have extrasensory perception (ESP). As a test, a fair coin is flipped ten times, and he is asked to predict in advance the outcome. Our individual gets seven out of ten correct. What is the probability he would have done at least this well if he had no ESP? (Explain why the relevant probability is \(P[X \geq 7\\}\) and not \(P(X=7) .\) )
An urn contains \(n+m\) balls, of which \(n\) are red and \(m\) are black. They are withdrawn from the urn, one at a time and without replacement. Let \(X\) be the number of red balls removed before the first black ball is chosen. We are interested in determining \(E[X]\). To obtain this quantity, number the red balls from 1 to \(n\). Now define the random variables \(X_{i}, i=1, \ldots, n\), by \(X_{i}=\left\\{\begin{array}{ll}1, & \text { if red ball } i \text { is taken before any black ball is chosen } \\ 0, & \text { otherwise }\end{array}\right.\) (a) Express \(X\) in terms of the \(X_{1}\). (b) Find \(E[X]\).
An airline knows that 5 percent of the people making reservations on a certain flight will not show up. Consequently, their policy is to sell 52 tickets for a flight that can only hold 50 passengers. What is the probability that there will be a seat available for cvery passenger that shows up?
Suppose five fair coins are tossed. Let \(E\) be the event that all coins land heads. Define the random variable \(I_{E}\) $$ I_{E}=\left\\{\begin{array}{ll} 1, & \text { if } E \text { occurs } \\ 0, & \text { if } E^{c} \text { occurs } \end{array}\right. $$ For what outcomes in the original sample space does \(I_{E}\) equal 1? What is \(P\left[I_{E}=1\right] ?\)
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