In: Statistics and Probability
When parking a car in a downtown parking lot, drivers pay according to the number of hours or fraction thereof. The probability distribution of the number of hours cars are parked has been estimated as follows:
X | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
P(X) | 0.224 | 0.142 | 0.106 | 0.08 | 0.057 | 0.039 | 0.033 | 0.319 |
A. Mean =
B. Standard Deviation =
The cost of parking is 2.25 dollars per hour. Calculate the mean and standard deviation of the amount of revenue each car generates.
A. Mean =
B. Standard Deviation =
SOLUTION:
From given data,
When parking a car in a downtown parking lot, drivers pay according to the number of hours or fraction thereof. The probability distribution of the number of hours cars are parked has been estimated as follows:
(A) Mean :
= (1*0.224) + (2*0.142)+ (3*0.106)+ (4*0.08)+ (5*0.057)+ (6*0.039)+ (7*0.033)+ (8*0.319)
= 4.448
E(X) = 4.448
= (12*0.224) + (22*0.142)+ (32*0.106)+ (42*0.08)+ (52*0.057)+ (62*0.039)+ (72*0.033)+ (82*0.319)
E(X2) = 27.888
var(X) = E(X2) - [E(X)]2
= 27.888 - (4.448)2
= 27.888 - 19.784704
= 8.103296
(B) Standard deviation =
=
= 2.85
The cost of parking is 2.25 dollars per hour. Calculate the mean and standard deviation of the amount of revenue each car generates.
X | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
X * 2.25 =Y |
1*2.25 = 2.25 |
2*2.25 =4.5 |
3*2.25 =6.75 |
4*2.25 =9 |
5*2.25 =11.25 |
6*2.25 =13.5 |
7*2.25 =15.75 |
8*2.25 =18 |
p(X) | 0.224 | 0.142 | 0.106 | 0.08 | 0.057 | 0.039 | 0.033 | 0.319 |
(A) Mean:
= (2.25*0.224) + (4.5*0.142)+ (6.75*0.106)+ (9*0.08)+ (11.25*0.057)+ (13.5*0.039)+ (15.75*0.033)+ (18*0.319)
E(Y) = 10.008
=(2.252*0.224) + (4.52*0.142)+ (6.752*0.106)+ (92*0.08)+ (11.252*0.057)+ (13.52*0.039)+ (15.752*0.033)+ (182*0.319)
= 141.183
E(Y2) = 141.183
var(Y) = E(Y2) - [E(Y)]2
= 141.183 - (10.008)2
= 141.183 - 100.160064
= 41.022936
(B) Standard deviation =
=
= 6.40