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(a)
Obtain the chance of getting only kings in a deck.
(a)
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Answer to Problem 15SRE
The chance of getting only kings in a deck is 0.000181.
Explanation of Solution
Calculation:
In general, a standard deck of cards contains 52 cards, of which 26 are red and 26 are black, 13 are of each suit (hearts, diamonds, spades, and clubs) and of which 4 are of each denomination (A, 2 to 10, J, Q, and K). There are 4 face cards. That is, jacks J, queen Q, and kings K.
The
Here, 4 of 52 cards in the standard deck of cards are kings.
The probability is given below:
Once a king has been selected, 3 of 51 cards in the standard deck of cards are kings.
The probability is given below:
Once two kings have been selected, 2 of 50 cards in the standard deck of cards are kings.
The probability is given below:
General multiplication rule:
Therefore, the chance of getting only kings in a deck is given below:
(b)
Obtain the chance of getting no kings in a deck.
(b)
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Answer to Problem 15SRE
The chance of getting no kings in a deck is 0.7826.
Explanation of Solution
Calculation:
Here, 48 of 52 cards in the standard deck of cards are not kings.
The probability is given below:
Once a non-king has been selected, 47 of 51 cards in the standard deck of cards are not kings.
The probability is given below:
Once two non-kings have been selected, 46 of 50 cards in the standard deck of cards are not kings.
The probability is given below:
Therefore, the chance of getting no kings in a deck is given below:
(c)
Obtain the chance of getting no face cards.
(c)
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Answer to Problem 15SRE
The chance of getting no face cards in a deck is 0.4471.
Explanation of Solution
Calculation:
Here, 40 of 52 cards in the standard deck of cards are not face cards.
The probability is given below:
Once a non-face card has been selected, 39 of 51 cards in the standard deck of cards are not face cards.
The probability is given below:
Once two non-face cards have been selected, 38 of 50 cards in the standard deck of cards are not face cards.
The probability is given below:
Therefore, the chance of getting no face cards in a deck is given below:
(d)
Obtain the chance of getting at least one face card.
(d)
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Answer to Problem 15SRE
The chance of getting at least one face card in a deck is 0.5529.
Explanation of Solution
Calculation:
From Part (d), the chance of getting no face cards in a deck is 0.4471.
Therefore, the chance of getting at least one face card in a deck is given below:
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Chapter 29 Solutions
Statistics
- Theorem 1.2 (1) Suppose that P(|X|≤b) = 1 for some b > 0, that EX = 0, and set Var X = 0². Then, for 0 0, P(X > x) ≤e-x+1²² P(|X|>x) ≤2e-1x+1²² (ii) Let X1, X2...., Xn be independent random variables with mean 0, suppose that P(X ≤b) = 1 for all k, and set oσ = Var X. Then, for x > 0. and 0x) ≤2 exp Σ k=1 (iii) If, in addition, X1, X2, X, are identically distributed, then P(S|x) ≤2 expl-tx+nt²o).arrow_forwardTheorem 5.1 (Jensen's inequality) state without proof the Jensen's Ineg. Let X be a random variable, g a convex function, and suppose that X and g(X) are integrable. Then g(EX) < Eg(X).arrow_forwardCan social media mistakes hurt your chances of finding a job? According to a survey of 1,000 hiring managers across many different industries, 76% claim that they use social media sites to research prospective candidates for any job. Calculate the probabilities of the following events. (Round your answers to three decimal places.) answer parts a-c. a) Out of 30 job listings, at least 19 will conduct social media screening. b) Out of 30 job listings, fewer than 17 will conduct social media screening. c) Out of 30 job listings, exactly between 19 and 22 (including 19 and 22) will conduct social media screening. show all steps for probabilities please. answer parts a-c.arrow_forward
- Question: we know that for rt. (x+ys s ا. 13. rs. and my so using this, show that it vye and EIXI, EIYO This : E (IX + Y) ≤2" (EIX (" + Ely!")arrow_forwardTheorem 2.4 (The Hölder inequality) Let p+q=1. If E|X|P < ∞ and E|Y| < ∞, then . |EXY ≤ E|XY|||X|| ||||qarrow_forwardTheorem 7.6 (Etemadi's inequality) Let X1, X2, X, be independent random variables. Then, for all x > 0, P(max |S|>3x) ≤3 max P(S| > x). Isk≤narrow_forward
- Theorem 7.2 Suppose that E X = 0 for all k, that Var X = 0} x) ≤ 2P(S>x 1≤k≤n S√2), -S√2). P(max Sk>x) ≤ 2P(|S|>x- 1arrow_forwardThree players (one divider and two choosers) are going to divide a cake fairly using the lone divider method. The divider cuts the cake into three slices (s1, s2, and s3).If the chooser's declarations are Chooser 1: {s3} and Chooser 2: {s3}, which of the following is a fair division of the cake?arrow_forwardTheorem 1.4 (Chebyshev's inequality) (i) Suppose that Var X x)≤- x > 0. 2 (ii) If X1, X2,..., X, are independent with mean 0 and finite variances, then Στη Var Xe P(|Sn| > x)≤ x > 0. (iii) If, in addition, X1, X2, Xn are identically distributed, then nVar Xi P(|Sn> x) ≤ x > 0. x²arrow_forwardTheorem 2.5 (The Lyapounov inequality) For 0arrow_forwardTheorem 1.6 (The Kolmogorov inequality) Let X1, X2, Xn be independent random variables with mean 0 and suppose that Var Xk 0, P(max Sk>x) ≤ Isk≤n Σ-Var X In particular, if X1, X2,..., X, are identically distributed, then P(max Sx) ≤ Isk≤n nVar X₁ x2arrow_forwardTheorem 3.1 (The Cauchy-Schwarz inequality) Suppose that X and Y have finite variances. Then |EXYarrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_iosRecommended textbooks for you
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