In: Math
The Downtown Parking Authority of Tampa, Florida, reported the following information for a sample of 229 customers on the number of hours cars are parked and the amount they are charged.
| Number of Hours | Frequency | Amount Charged | |||
| 1 | 21 | $ | 4 | ||
| 2 | 38 | 5 | |||
| 3 | 50 | 10 | |||
| 4 | 45 | 13 | |||
| 5 | 18 | 14 | |||
| 6 | 16 | 16 | |||
| 7 | 5 | 18 | |||
| 8 | 36 | 20 | |||
| total 229 | |||||
a-1. Convert the information on the number of hours parked to a probability distribution. (Round your answers to 3 decimal places.)
a-2. Is this a discrete or a continuous probability distribution? Discrete Continuous
b-1. 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.)
b-2. 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.)
a-1)
The probability for the number of car parked for each hour is obtained by using formula,

| Number of Hours | Probability | |
| 1 | 21/229= | 0.092 | 
| 2 | 38/229= | 0.166 | 
| 3 | 50/229= | 0.218 | 
| 4 | 45/229= | 0.197 | 
| 5 | 18/229= | 0.079 | 
| 6 | 16/229= | 0.070 | 
| 7 | 5/229= | 0.022 | 
| 8 | 36/229= | 0.157 | 
| Number of Hours | Probability | 
| 1 | 0.092 | 
| 2 | 0.166 | 
| 3 | 0.218 | 
| 4 | 0.197 | 
| 5 | 0.079 | 
| 6 | 0.070 | 
| 7 | 0.022 | 
| 8 | 0.157 | 
a-2)
This is a discrete probability distribution because the variable of interest, "number of hour car parked" is discrete in nature which takes value 1, 2, 3, 4, 5, 6, 7 and 8.
b-1)
The mean of the number of hours car parked or the expected value is obtained using the formula,



The standard deviation, 
 is obtained using the formula,

| Number of Hours, x | mean | (x-mean) | (x-mean)^2 | (x-mean)^2 P(x) | 
| 1 | 4.087 | -3.087 | 9.532 | 0.874 | 
| 2 | 4.087 | -2.087 | 4.357 | 0.723 | 
| 3 | 4.087 | -1.087 | 1.182 | 0.258 | 
| 4 | 4.087 | -0.087 | 0.008 | 0.001 | 
| 5 | 4.087 | 0.913 | 0.833 | 0.065 | 
| 6 | 4.087 | 1.913 | 3.658 | 0.256 | 
| 7 | 4.087 | 2.913 | 8.484 | 0.185 | 
| 8 | 4.087 | 3.913 | 15.309 | 2.407 | 
| SUM | 4.770 | 


b-2)
The time such that how long a typical customer parked? is obtained as follow,



The mean of the amount chared is obtained as follow,
| Number of Hours | Amount Charged, y | Probability, p | y*p | 
| 1 | 4 | 0.04 | 0.16 | 
| 2 | 5 | 0.05 | 0.25 | 
| 3 | 10 | 0.1 | 1 | 
| 4 | 13 | 0.13 | 1.69 | 
| 5 | 14 | 0.14 | 1.96 | 
| 6 | 16 | 0.16 | 2.56 | 
| 7 | 18 | 0.18 | 3.24 | 
| 8 | 20 | 0.2 | 4 | 
| Total | 100 | 1 | Sum=14.86 | 

The standard deviation, 
 is obtained as follow,
| Amount Charged, y | mean | (y-mean) | (y-mean)^2 | (y-mean)^2 P(y) | 
| 4 | 14.860 | -10.860 | 117.940 | 4.718 | 
| 5 | 14.860 | -9.860 | 97.220 | 4.861 | 
| 10 | 14.860 | -4.860 | 23.620 | 2.362 | 
| 13 | 14.860 | -1.860 | 3.460 | 0.450 | 
| 14 | 14.860 | -0.860 | 0.740 | 0.104 | 
| 16 | 14.860 | 1.140 | 1.300 | 0.208 | 
| 18 | 14.860 | 3.140 | 9.860 | 1.775 | 
| 20 | 14.860 | 5.140 | 26.420 | 5.284 | 
| SUM | 19.760 | 
