Hey UncleFester.
Hint: If you have two independent events A and B then the likelihood of both happening is P(A and B) = P(A)*P(B). If you have probability functions for each event, the multiply them to get the joint density function.
Hi guys,
I'm stuck on these 2 questions, but I think that once I can do the first, the other should be reasonably straightforward.
I would really appreciate some help.
I've attached a png if it's easier to read.
Thanks!
A genetic experiment on cell division can give rise to at most 2k cells,
and the probability function describing the variation in the number of
cells recorded is assumed to be
p(x) = x(1 -theta)/1-theta^(2k+1)
x = 0, 1, 2, ..., 2k
where 0 < theta < 1:
(b) Two independent replicates of the experiment are performed. What
are the probabilities
ii. that the number of cells produced in the two replicates are
the same;
iii. That the total number of cells produced from the two replicates
is exactly y, for 0 y 2k?
Hey UncleFester.
Hint: If you have two independent events A and B then the likelihood of both happening is P(A and B) = P(A)*P(B). If you have probability functions for each event, the multiply them to get the joint density function.
Could you please be more specific? Can you give a mathematical expression for the probabilities please? (Making your attempts specific will help us see your method of thinking and where you went wrong or right and this procedure is encouraged here on these forums).
Hi,
The way I like to think about such problems is with independent random variables. If you don't know about random variables, I guess this post is not much help. You were exactly right in your response 3; even if you are hazy about r.v.'s, the following attachment shows a simplification of the expression as you asked. Furthermore, the 2nd part is briefly addressed.