In: Statistics and Probability
Use the data and develop 95% and 99% prediction intervals for
the following A. the hours per week that an individual will spend in his vehicle B. the number of miles driven per week |
Vehicle Driven | Type | Satisfaction with vehicle | Gender | Age | # of hours per week in vehicle | Miles driven per week | Number of Children | Average number of riders | Miles from work |
Truck | Domestic | Yes | Male | 31 | 10 | 450 | 0 | 1 | 30 |
Truck | Domestic | Yes | Male | 29 | 5 | 370 | 1 | 1 | 22 |
Truck | Foreign | No | Male | 26 | 12 | 580 | 0 | 1 | 15 |
Truck | Domestic | No | Male | 18 | 6 | 300 | 0 | 1 | 20 |
SUV | Domestic | Yes | Male | 49 | 21 | 1000 | 0 | 1 | 22 |
SUV | Foreign | Yes | Male | 50 | 16 | 840 | 2 | 1 | 45 |
SUV | Domestic | Yes | Male | 48 | 15 | 1400 | 3 | 4 | 25 |
SUV | Foreign | Yes | Male | 45 | 5 | 300 | 2 | 2 | 20 |
SUV | Domestic | Yes | Male | 45 | 15 | 850 | 0 | 1 | 25 |
SUV | Domestic | Yes | Male | 44 | 10 | 700 | 2 | 1 | 40 |
SUV | Foreign | Yes | Male | 41 | 5 | 350 | 1 | 1 | 20 |
SUV | Domestic | Yes | Male | 41 | 30 | 1500 | 4 | 3 | 15 |
SUV | Foreign | No | Female | 39 | 6 | 280 | 1 | 1 | 17 |
SUV | Foreign | Yes | Female | 36 | 4 | 400 | 0 | 1 | 20 |
SUV | Foreign | Yes | Female | 33 | 3 | 420 | 0 | 1 | 25 |
SUV | Domestic | Yes | Male | 31 | 10 | 675 | 0 | 1 | 35 |
SUV | Domestic | No | Female | 31 | 15 | 800 | 1 | 1 | 50 |
SUV | Domestic | No | Female | 29 | 4 | 300 | 1 | 1 | 20 |
SUV | Domestic | Yes | Male | 28 | 3 | 400 | 1 | 1 | 15 |
Mini Van | Domestic | Yes | Female | 55 | 8 | 400 | 0 | 2 | 0 |
Mini Van | Domestic | No | Female | 43 | 10 | 700 | 2 | 3 | 0 |
Mini Van | Domestic | Yes | Female | 41 | 10 | 720 | 1 | 2 | 15 |
Mini Van | Foreign | Yes | Female | 38 | 10 | 450 | 4 | 5 | 0 |
Mini Van | Foreign | Yes | Female | 39 | 15 | 1000 | 1 | 2 | 0 |
Mini Van | Domestic | No | Male | 35 | 5 | 350 | 2 | 2 | 0 |
Mini Van | Domestic | Yes | Female | 33 | 10 | 800 | 2 | 3 | 0 |
Mini Van | Foreign | Yes | Female | 32 | 2 | 200 | 4 | 5 | 5 |
Mini Van | Foreign | Yes | Female | 28 | 8 | 350 | 3 | 4 | 0 |
Car | Domestic | Yes | Female | 21 | 4 | 150 | 0 | 1 | 0 |
Car | Domestic | No | Female | 62 | 5 | 175 | 0 | 2 | 0 |
Car | Domestic | Yes | Female | 61 | 5 | 355 | 0 | 1 | 15 |
Car | Foreign | Yes | Male | 60 | 5 | 150 | 0 | 1 | 10 |
Car | Domestic | No | Male | 58 | 10 | 600 | 0 | 1 | 35 |
Car | Domestic | Yes | Female | 51 | 11 | 600 | 0 | 1 | 40 |
Car | Domestic | Yes | Female | 47 | 4 | 300 | 0 | 1 | 21 |
Car | Domestic | No | Male | 46 | 4 | 275 | 0 | 1 | 18 |
Car | Domestic | No | Male | 44 | 6 | 285 | 2 | 3 | 16 |
Car | Foreign | No | Female | 42 | 5 | 400 | 2 | 3 | 22 |
Car | Foreign | Yes | Female | 41 | 5 | 350 | 2 | 2 | 23 |
Car | Domestic | No | Female | 41 | 10 | 600 | 1 | 2 | 34 |
Car | Domestic | Yes | Female | 39 | 10 | 700 | 1 | 2 | 45 |
Car | Foreign | Yes | Female | 34 | 10 | 600 | 1 | 2 | 16 |
Car | Foreign | Yes | Male | 33 | 5 | 400 | 1 | 2 | 22 |
Car | Foreign | Yes | Male | 30 | 5 | 350 | 1 | 2 | 18 |
Car | Domestic | Yes | Female | 29 | 5 | 250 | 0 | 1 | 19 |
Car | Foreign | Yes | Female | 27 | 6 | 355 | 0 | 2 | 23 |
Car | Foreign | Yes | Female | 26 | 5 | 175 | 0 | 1 | 11 |
Car | Domestic | No | Female | 24 | 5 | 300 | 0 | 1 | 4 |
Car | Domestic | Yes | Female | 22 | 5 | 350 | 0 | 1 | 3 |
Car | Foreign | No | Female | 19 | 5 | 500 | 0 | 2 | 4 |
Critical t-value for the 95% and 99% prediction interval are 2.0096 and 2.68 respectively.
Sample size =50
Obtained using Excel formula,=T.INV.2T(1-alpha, 49)
Now the sample mean and sample standard deviation are
Sample Mean | Sample Standard deviation | |
hours per week individual will spend in the vehicle | 8.16 | 5,1641 |
Number of miles driven per week | 502.1 | 292.1648 |
Now Prediction interval formula for the unknown standard deviation of the population is
PI =x_bar
a.
95% Prediction Interval