Exercise 1: Sampling
This group of vehicles I chose to sample was selected on September 21st, 2016. The parking lot these cars were chosen is located in Mansfield, Ohio, on Main Street, across from the Carousel, at 4:30pm.
Vehicle Type Maker Age Color State Parking Spot #
Sedan Honda 4-7 Green Ohio 32
Sedan Hyundai 0-3 Blue Ohio 56
Pick-up Chevy 0-3 Red Ohio 14
Coup Mini-Cooper 4-7 Green Ohio 9
SUV Ford 8+ Brown New York 61
SUV Toyota 0-3 Black Ohio 28
Sedan Dodge 4-7 Red Ohio 41
Sedan Ford 4-7 Brown Ohio 7
Pick-up GMC 0-3 Red Ohio 71
Van Ford 8+ Blue Ohio 48
Sample of Cars:
f=n/N f is the fractional relationship between n, or the cars that were chosen, and N, or the total amount of cars in the parking lot.
In this sample n=10, and N= 75. So, f=10/75, or f=0.13…
Questions:
1. What kind of sample have you drawn from the population? That is, what is the sample design? For this sample, I used a Simple Random Sampling method. To do this I randomly chose ten parking spaces, by using a random number …show more content…
In this exercise, in parking spot 17 I had a pick-up truck that I would consider to be white. Because of the color options available I had to classify this vehicle as red, because that is the brightest color of the options given. Also, this happened in spot 61, where I classified a vehicle as brown, but it was more gold colored. This limited my sample and created an unrepresentative sample. The state registration also limited my sample. By sampling in mid-Ohio, the sample of out of state vehicle registration decreases compared to other areas in the state, or country. I think that the sample would have more diversity in state registration if it were executed in a different region. For example, if this exercise was sampled in the northeast corner of Williams County, Ohio, the results may have vehicles from other states that border that county such as Michigan, and
This group of vehicles I chose to sample was selected on September 21st, 2016. The parking lot these cars were chosen is located in Mansfield, Ohio, on Main Street, across from the Carousel, at 4:30pm.
Vehicle Type Maker Age Color State Parking Spot #
Sedan Honda 4-7 Green Ohio 32
Sedan Hyundai 0-3 Blue Ohio 56
Pick-up Chevy 0-3 Red Ohio 14
Coup Mini-Cooper 4-7 Green Ohio 9
SUV Ford 8+ Brown New York 61
SUV Toyota 0-3 Black Ohio 28
Sedan Dodge 4-7 Red Ohio 41
Sedan Ford 4-7 Brown Ohio 7
Pick-up GMC 0-3 Red Ohio 71
Van Ford 8+ Blue Ohio 48
Sample of Cars:
f=n/N f is the fractional relationship between n, or the cars that were chosen, and N, or the total amount of cars in the parking lot.
In this sample n=10, and N= 75. So, f=10/75, or f=0.13…
Questions:
1. What kind of sample have you drawn from the population? That is, what is the sample design? For this sample, I used a Simple Random Sampling method. To do this I randomly chose ten parking spaces, by using a random number …show more content…
In this exercise, in parking spot 17 I had a pick-up truck that I would consider to be white. Because of the color options available I had to classify this vehicle as red, because that is the brightest color of the options given. Also, this happened in spot 61, where I classified a vehicle as brown, but it was more gold colored. This limited my sample and created an unrepresentative sample. The state registration also limited my sample. By sampling in mid-Ohio, the sample of out of state vehicle registration decreases compared to other areas in the state, or country. I think that the sample would have more diversity in state registration if it were executed in a different region. For example, if this exercise was sampled in the northeast corner of Williams County, Ohio, the results may have vehicles from other states that border that county such as Michigan, and