The probability that a store will have exactly k customers on any given day is
PK(k)=15(45)k,k=0,1,2,3....
Every day, out of all the customers who purchased something from the store that day, one
is randomly chosen to win a prize. Every customer that day has an equal chance of being
chosen. Assume that no customer visits this store more than once a day, and further assume
that the store can handle an infinite number of customers.
(c). Given a customer who has won a prize, what is the probability that he was in the store
on a day when it had a total of exactly k customers?(d).Since the store owner’s birthday is in July, he decides to celebrate by giving two prizes each
day in the month of July. At the end of each day, after one customer is randomly chosen to
win the first prize, another winner is randomly chosen from the remaining k−1 customers,
and given the second prize. No one can win both prizes.
Let X denote the customer number of the first winner, and let Y denote the customer
number of the second winner.
Determine the joint pdf, P(x,y|k),for1≤x,y≤k.
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My answer for (c) is P=15(45)k1k,not sure if it is right.
For the part (d),don't really know how to do that.
Answer
Let's call the event of a price pr.
You're right that P(pr∧K=k)=1k15(45)k for k>0:
first we need we need k customers and then there is a 1k chance that this customer won it. Also P(pr|K=k)=1k.
But the asked for probability is P(X=k|pr) so this reeks of Bayes' law, which comes down to (in this case, where the different K=i are the mutually disjoint events):
P(K=k|pr)=P(pr|K=k)P(K=k)∑∞i=0P(pr|K=i)P(K=i)
and the numerator is your 1k15(45)k
and the denominator is (the term for i=0 equals 0, no customers, no price)
∞∑i=11i15(45)i.
Now it's just calculus. Remember the series ∑n≥11nxn=∑n≥0(∫(xndx)=∫(∑n≥0xn)dx etc.
As to (d), this seems simpler. P(X=x,Y=y|K=k) is only non-zero for k≥2 and x≠y and 1≤x,y≤k and it that case equals 1k1k−1 (there is a 1 in k chance that x will be chosen as winner 1, and then a 1 over k−1 chance that y≠x will be chosen as winner nr 2. Note that given k there are k(k−1) possible winner pairs all
of which have the same chance.
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