In: Statistics and Probability
The Downtown Parking Authority of Tampa, Florida, reported the following information for a sample of 230 customers on the number of hours cars are parked and the amount they are charged.
Number of Hours | Frequency | Amount Charged | |||
1 | 22 | $ | 4 | ||
2 | 38 | 6 | |||
3 | 52 | 8 | |||
4 | 45 | 12 | |||
5 | 20 | 14 | |||
6 | 12 | 16 | |||
7 | 5 | 18 | |||
8 | 36 | 22 | |||
230 | |||||
Convert the information on the number of hours parked to a probability distribution.
Find the mean and the standard deviation of the number of hours parked. (Do not round the intermediate calculations. Round your final answers to 3 decimal places.)
How long is a typical customer parked? (Do not round the intermediate calculations. Round your final answer to 3 decimal places.)
Find the mean and the standard deviation of the amount charged. (Do not round the intermediate calculations. Round your final answers to 3 decimal places.)
for number of hours parked,
probability = f/N
X | P(X) | X*P(X) | X² * P(X) |
1 | 0.096 | 0.096 | 0.0957 |
2 | 0.165 | 0.330 | 0.6609 |
3 | 0.226 | 0.678 | 2.0348 |
4 | 0.196 | 0.783 | 3.1304 |
5 | 0.087 | 0.435 | 2.1739 |
6 | 0.05 | 0.313 | 1.8783 |
7 | 0.02 | 0.152 | 1.0652 |
8 | 0.16 | 1.252 | 10.0174 |
P(X) | X*P(X) | X² * P(X) | |
total sum = | 1 | 4.03913 | 21.06 |
mean = E[X] = Σx*P(X) =
4.039
E [ X² ] = ΣX² * P(X) =
21.0565
variance = E[ X² ] - (E[ X ])² =
4.7419
std dev = √(variance) =
2.178
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4.039 hours is a typical customer parked
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for the amount charged
X | P(X) | X*P(X) | X² * P(X) |
4 | 0.096 | 0.383 | 1.5304 |
6 | 0.165 | 0.991 | 5.9478 |
8 | 0.226 | 1.809 | 14.4696 |
12 | 0.196 | 2.348 | 28.1739 |
14 | 0.087 | 1.217 | 17.0435 |
16 | 0.05 | 0.835 | 13.3565 |
18 | 0.02 | 0.391 | 7.0435 |
22 | 0.16 | 3.443 | 75.7565 |
P(X) | X*P(X) | X² * P(X) | |
total sum = | 1 | 11.41739 | 163.32 |
mean = E[X] = Σx*P(X) =
11.417
E [ X² ] = ΣX² * P(X) =
163.3217
variance = E[ X² ] - (E[ X ])² =
32.9649
std dev = √(variance) =
5.742