Chapter 7: Problem 35
Cards from an ordinary deck are turned face up one at a time. Compute the expected number of cards that need to be turned face up in order to obtain (a) 2 aces; (b) 5 spades; (c) all 13 hearts.
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Chapter 7: Problem 35
Cards from an ordinary deck are turned face up one at a time. Compute the expected number of cards that need to be turned face up in order to obtain (a) 2 aces; (b) 5 spades; (c) all 13 hearts.
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A certain region is inhabited by \(r\) distinct types of a certain species of insect. Each insect caught will, independently of the types of the previous catches, be of type \(i\) with probability $$ P_{i}, i=1, \ldots, r \quad \sum_{1}^{r} P_{i}=1 $$ (a) Compute the mean number of insects that are caught before the first type 1 catch. (b) Compute the mean number of types of insects that are caught before the first type 1 catch.
A die is rolled twice. Let \(X\) equal the sum of the outcomes, and let \(Y\) equal the first outcome minus the second. Compute \(\operatorname{Cov}(X, Y)\)
In Example \(6 \mathrm{c},\) suppose that \(X\) is uniformly distributed over (0,1) . If the discretized regions are determined by \(a_{0}=0, a_{1}=\frac{1}{2},\) and \(a_{2}=1\) calculate the optimal quantizer \(Y\) and compute \(E\left[(X-Y)^{2}\right]\)
Successive weekly sales, in units of one thousand dollars, have a bivariate normal distribution with common mean \(40,\) common standard deviation 6 and correlation .6. (a) Find the probability that the total of the next 2 weeks' sales exceeds \(90 .\) (b) If the correlation were .2 rather than \(.6,\) do you think that this would increase or decrease the answer to (a)? Explain your reasoning. (c) Repeat (a) when the correlation is .2.
Each of \(m+2\) players pays 1 unit to a kitty in order to play the following game: A fair coin is to be flipped successively \(n\) times, where \(n\) is an odd number, and the successive outcomes are noted. Before the \(n\) llips, each player writes down a prediction of the outcomes. For instance, if \(n=3\) then a player might write down \((H, H, T),\) which means that he or she predicts that the first flip will land on heads, the second on heads, and the third on tails. After the coins are flipped, the players count their total number of correct predictions. Thus, if the actual outcomes are all heads, then the player who wrote \((H, H, T)\) would have 2 correct predictions. The total kitty of \(m+2\) is then evenly split up among those players having the largest number of correct predictions. since each of the coin flips is equally likely to land on either heads or tails, \(m\) of the players have decided to make their predictions in a totally random fashion. Specifically, they will each flip one of their own fair coins \(n\) times and then use the result as their prediction. However, the final 2 of the players have formed a syndicate and will use the following strategy: One of them will make predictions in the same random fashion as the other \(m\) players, but the other one will then predict exactly the opposite of the first. That is, when the randomizing member of the syndicate predicts an \(H,\) the other member predicts a \(T .\) For instance, if the randomizing member of the syndicate predicts \((H, H, T),\) then the other one predicts \((T,\) \(T, H)\) (a) Argue that exactly one of the syndicate members will have more than \(n / 2\) correct predictions. (Remember, \(n\) is odd.) (b) Let \(X\) denote the number of the \(m\) nonsyndicate players that have more than \(n / 2\) correct predictions. What is the distribution of \(X ?\) (c) With \(X\) as defined in part (b), argue that \(E[\text { payoff to the syndicate }]=(m+2)\) $$ \times E\left[\frac{1}{X+1}\right] $$(d) Use part (c) of Problem 59 to conclude that \(\begin{aligned} E[\text { payoff to the syndicate }]=& \frac{2(m+2)}{m+1} \\\ & \times\left[1-\left(\frac{1}{2}\right)^{m+1}\right] \end{aligned}\) and explicitly compute this number when \(m=\) \(1,2,\) and \(3 .\) Because it can be shown that $$ \frac{2(m+2)}{m+1}\left[1-\left(\frac{1}{2}\right)^{m+1}\right]>2 $$ it follows that the syndicate's strategy always gives it a positive expected profit.
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