Answer:
Step-by-step explanation:
Given that:
X(t) = be the number of customers that have arrived up to time t.
... = the successive arrival times of the customers.
(a)
Then; we can Determine the conditional mean E[W1|X(t)=2] as follows;




Now 
(b) We can Determine the conditional mean E[W3|X(t)=5] as follows;

Now; 
(c) Determine the conditional probability density function for W2, given that X(t)=5.
So ; the conditional probability density function of
given that X(t)=5 is:

Answer:
2, 4, 8, 16, 32
Step-by-step explanation:
company A :
30,000 + 0.03(37499) = 31124.97...sales less then 37500
30,000 + 0.03(37501) = 31125.03....sales exceed 37500
30,000 + 0.03(249000) = 37470 ...sales less then 250000
30,000 + 0.03(251000) = 37530....sales exceed 250000
company B :
25,000 + 0.05(37499) = 26874.95...sales less then 37500
25,000 + 0.05(37501) = 26875.05...sales exceed 37500
25000 + 0.05(249000) = 37450...sales less then 250000
25,000 + 0.05(251000) = 37550...sales exceed 250000
so i believe your answer is option b,
company A pays better when sales are less then 250,000, but company B pays better when sales exceed 250,000 <==
Answer:
1 1/2
Step-by-step explanation:
because when you divide 7.5 by 5 you get 1.5