In: Statistics and Probability
). A farmer knows from experience that his wheat harvest Q (in
bushels) has the probability distribution given by:
Q = 150 with probability 0.30 ,
= 170 with probability 0.45,
=200 with probability 0.25;
note that the probabilities add up to 1 as they are required by a probability
distribution. Suppose the demand function he faces in the market place is given by:
p = 320 - 0.5 Q
where p = price in dollars per bushel. Let R = total revenue = p x Q. [Note: You may find it
convenient to first derive the probability distribution of R.]
Find E ( R ).
Also, define his Profits as :
Profits = R - C ,
where the total cost C (in dollars) is a function of Q given by
C = 150 - 10 Q + 2 Q2.
Find E(Profits).
Pdf of Q | |
O | P(Q) |
150 | 0.3 |
170 | 0.45 |
200 | 0.25 |
total | 1 |
p = 320 - 0.5 Q
R = p * Q
= (320 - 0.5 Q) * Q
=
We know that R is dependent on Q so Rs probablties will also be dependent on Q's
For the distribution we will substitute each value of Q in R with the corresponding probability
Pdf of R | |||
O | R | P(R) | R*P(R ) |
150 | 36750 | 0.3 | 11025 |
170 | 39950 | 0.45 | 17977.5 |
200 | 44000 | 0.25 | 11000 |
total | 1 | 40002.5 |
Expected Value of R =
Exp (R) = 40002.5
Profits = R - C
C= 150 - 10 Q + 2
We sub 'C' and 'R' formula in the profits
Profits =
=
Again now profits is a function of Q. So its probabilties will be dependent on Q.
Pdf of Profits | |||
O | Profits | P(Profits) | Profits*P(Profits |
150 | 80100 | 0.3 | 24030 |
170 | 95900 | 0.45 | 43155 |
200 | 121850 | 0.25 | 30462.5 |
total | 1 | 97647.5 |
Expected profits =
E(profits) = 97647.5