Answer:
2/9
Step-by-step explanation:
After Caroline's share,
1 - 1/9 = 8/9 is left
Sarah gets:
1/(1+3) of 8/9
1/4 × 8/9
2/9
The mean is 0.0118 approximately. So option C is correct
<h3><u>Solution:</u></h3>
Given that , The probability of winning a certain lottery is
for people who play 908 times
We have to find the mean number of wins

Assume that a procedure yields a binomial distribution with a trial repeated n times.
Use the binomial probability formula to find the probability of x successes given the probability p of success on a single trial.



Hence, the mean is 0.0118 approximately. So option C is correct.
Answer:
ok ill do it :-)
Step-by-step explanation:
Answer:
Assume the random variable X has Poisson distribution.
The mean of X is given as
μ
=
7.
As mean of Poisson distribution is equal to...