Explanation:
Lets interpret Z with M trials. First we have M trials, each trial can be a success or not. The number of success is called N. Each trial that is a success becomes a trial, and if it is a success it becomes a success for Z. Thus, in order for a trial to be successful, it needs first to be successful for the random variable N (and it is with probability q), and given that, it should be a success among the N trials of the original definition of Z (with probability p).
This gives us that each trial has probability pq of being successful. Note that this probability is pq independently of the results of the other trials, because the results of the trials of both N and the original definition of Z are independent. This shows us that Z is the total amount of success within M independent trials of an experiment with pq probability of success in each one. Therefore, Z has Binomial distribution with parameters pq and M.
Answer:
0.24
Step-by-step explanation:
first card probability 50%
second card probability 47%
0.50 • 0.47 = 0.235 (0.24)
It would be 574 over 1000, but it can be simplified to: 287 over 500. So the final answer simplified would be 287/500.
I’m not completely sure, but I would say about 3/5 because of the fact that the X is not directly in the middle, so it can’t be 1/2 but it’s very close to the middle which could make it possible that it is 3/5?
2/3 - 3/4
x - 3
x= (2/3 * 3) / (3/4) = 2 * (4/3) = 8/3 = 2 and 2/3 of tablespoon of salt
