SOLUTION: 8.The probability function for the number of insurance policies John will sell to a customer is given by f(x) .5 - (x/6) for x = 0, 1, or 2 a.Is this a valid probability fu

Algebra ->  Probability-and-statistics -> SOLUTION: 8.The probability function for the number of insurance policies John will sell to a customer is given by f(x) .5 - (x/6) for x = 0, 1, or 2 a.Is this a valid probability fu      Log On


   

Question 576057: 8.The probability function for the number of insurance policies John will sell to a customer is given by f(x) .5 - (x/6) for x = 0, 1, or 2
a.Is this a valid probability function? Explain your answer.
b.What is the probability that John will sell exactly 2 policies to a customer?
c.What is the probability that John will sell at least 2 policies to a customer?
d.What is the expected number of policies John will sell?
e.What is the variance of the number of policies John will sell?
Answer by jim_thompson5910(35256) About Me  (Show Source):
You can put this solution on YOUR website!
a)
It's only a valid probability function if all the individual probabilities add to one.

f(0) = 0.5 - 0/6 = 0.5, so f(0) = 0.5 or f(0) = 1/2

f(1) = 0.5 - 1/6 = 1/3, so f(1) = 1/3

f(2) = 0.5 - 2/6 = 1/6, so f(2) = 1/6

Now add up the individual probabilities:

f(0) + f(1) + f(2) = 1/2 + 1/3 + 1/6 = 3/6 + 2/6 + 1/6 = (3+2+1)/6 = 6/6 = 1

Since they all add to 1, this is a valid probability function

============================================================
b)
P(X = 2) = 1/6 = 0.1667 and this was found in part a)
=============================================================
c)
P(At least 2) = 1 - P(None)

P(At least 2) = 1 - 1/2

P(At least 2) = 1/2

P(At least 2) = 0.5

So the probability of selling at least two policies to a customer is 0.5 ( which is 50% chance)
===========================================================
d)

Expected number = Expected value = Sum of values*probabilities = (0)*(1/2)+(1)*(1/3)+(2)*(1/6) = 2/3 = 0.667

So the expected number is 0.667, which means that he expects to sell somewhere between 0 and one policy (with more weight/chance towards selling 1 policy)
===========================================================
e)

E(X^2) = Sum(X^2*probability)

E(X^2) = (0^2)*(1/2) + (1^2)*(1/3) + (2^2)*(1/6)

E(X^2) = 0 + 1/3 + 2/3

E(X^2) = 1

Variance

sigma^2 = E(X^2) - (E(X))^2

sigma^2 = 1 - (2/3)^2

sigma^2 = 1 - 4/9

sigma^2 = 5/9

sigma^2 = 0.556

So the variance of the number of policies John will sell is roughly 0.556