2. Let X be the number of grinders sold by Snack Bar on a particular night. X has the following distribution: 0 1 2 3 Px (x) 0.1 0.2 0.3 0.25 0.15 4 Sixty percent of all students who buy a grinder also buy fries. Let Y be the number of grinder people who also got fries. (a) Find P(X = 4, Y = 2). (Hint: using conditional probabilities, this should be P(Y = 2| X = 4) · P(X = 4). For a fixed value of X, think of Y as a binomial random variable.) (b) Calculate P(X = Y). (c) Find the joint pmf of X and Y, and the marginal pmf of Y.

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Chapter1: Combinatorial Analysis
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2. Let X be the number of grinders sold by Snack Bar on a particular night. X has the following
distribution:
1
2
3 4
Px(x) 0.1 0.2 0.3 0.25 0.15
Sixty percent of all students who buy a grinder also buy fries. Let Y be the number of grinder
people who also got fries.
(a) Find P(X = 4,Y = 2). (Hint: using conditional probabilities, this should be P(Y = 2| X =
4) · P(X = 4). For a fixed value of X, think of Y as a binomial random variable.)
(b) Calculate P(X = Y).
(c) Find the joint pmf of X and Y, and the marginal pmf of Y.
Transcribed Image Text:2. Let X be the number of grinders sold by Snack Bar on a particular night. X has the following distribution: 1 2 3 4 Px(x) 0.1 0.2 0.3 0.25 0.15 Sixty percent of all students who buy a grinder also buy fries. Let Y be the number of grinder people who also got fries. (a) Find P(X = 4,Y = 2). (Hint: using conditional probabilities, this should be P(Y = 2| X = 4) · P(X = 4). For a fixed value of X, think of Y as a binomial random variable.) (b) Calculate P(X = Y). (c) Find the joint pmf of X and Y, and the marginal pmf of Y.
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