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3. Cards: I take a standard deck of 52 cards, consisting of 13 spades, 13 hearts, 13 diamonds, and 13 clubs. I am interesting in seeing how many non-heart cards I can draw before picking a heart. After each draw, I will put the card back in the deck, so there is a 1/4 chance I get a heart with each draw, and a 3/4 chance I do not get a heart. I think about this a ittle bi and come up with the following probability model for X, the number of non-hearts drawn before I get a heart. 72 n=0, 1, 2, . .. (a) Using the fact that the probability space must have a total measure of one, find the value of c. (Yes, I know there is another way to find c directly from the experiment description, but I want you to use/remember this important infinite series. Of course, the answer you get should be consistent with what you would expect from the experiment.) (b) Find P(X22). (c) Find P(X є {0.2, 4, 6, . . .)).

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(b) P(x>=2) = 1 - P(x = 0) - P(x = 1) - P(x = 2)

   P(x = n) = 52Cn (3/4)n(1/4)52-n

    P(x = 0) = 52C0 (3/4)0(1/4)52-0

                     = (1/4)52

   P(x = 1) = 52C1(3/4)1(1/4)52-1

                   = 156(1/4)52

     P(x = 2) = 52C2 (3/4)2(1/4)52-2

                            =11934(1/4)52

      P(x>=2) = 1 - [ 12091 ](1/4)52

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