QUESTION: Choose a topic that you would be interested in studying that would req
ID: 3150166 • Letter: Q
Question
QUESTION:
Choose a topic that you would be interested in studying that would require collecting data.
What is the question that you are trying to answer?
Describe what type of data you need to collect.
How would you collect this data – what type of sampling technique (random, stratified, etc.) would you use?
ANSWER:
The new program would try to recycle as many different consumer products as possible. Communities in this program would compost through the program, get rid of electronics, used clothing, building materials as well as the traditional recyclable materials. Everything would be picked up curbside or at frequently placed drop off locations, brought to a facility where items would be further sorted. The outcome would be to reuse the recyclable products in the most efficient way possible.
What is the question that you are trying to answer?
Would communities use the program correctly and enough for it to be a sustainable service to the community? Relatively large facilities would need to be used, transportation vehicles needed for pickup and pickup and sorting crews would need to be hired.
Describe what type of data you need to collect.
The desired data for the project would be; amount of useable recyclable material per recycling facility to generate revenue and/or the amount of tax dollars allocated to the project by the community.
How would you collect this data – what type of sampling technique (random, stratified, etc.) would you use?
This data would need to be collected by running test runs in certain designated neighborhood around the US, first using existing facilities and/or shipping recyclables to a centralized location during the test trial. Because different communities and even subcommunites will have different feelings about using the service these “test runs” will have to capture different community characteristics that may indicate whether or not there will be participation with the community. The best way to do this would to be use stratified random sampling. First, largely populated cities (50,000 +) would be used as the sampling frame. These large cities would become or be broken down into (if large enough) strata groups based on such things as income level, housing price, high tax rates, or any other testable group desired. Then, to reduce bias, simple random sampling would be used to pick between cities that qualify for the strata groups would be desired to test.
PLEASE COMMENT ON THE ANSWER
Explanation / Answer
ANSWER:
The new program would try to recycle as many different consumer products as possible. Communities in this program would compost through the program, get rid of electronics, used clothing, building materials as well as the traditional recyclable materials. Everything would be picked up curbside or at frequently placed drop off locations, brought to a facility where items would be further sorted. The outcome would be to reuse the recyclable products in the most efficient way possible.
What is the question that you are trying to answer?
Would communities use the program correctly and enough for it to be a sustainable service to the community? Relatively large facilities would need to be used, transportation vehicles needed for pickup and pickup and sorting crews would need to be hired.
Describe what type of data you need to collect.
The desired data for the project would be; amount of useable recyclable material per recycling facility to generate revenue and/or the amount of tax dollars allocated to the project by the community.
How would you collect this data – what type of sampling technique (random, stratified, etc.) would you use?
This data would need to be collected by running test runs in certain designated neighborhood around the US, first using existing facilities and/or shipping recyclables to a centralized location during the test trial. Because different communities and even subcommunites will have different feelings about using the service these “test runs” will have to capture different community characteristics that may indicate whether or not there will be participation with the community. The best way to do this would to be use stratified random sampling. First, largely populated cities (50,000 +) would be used as the sampling frame. These large cities would become or be broken down into (if large enough) strata groups based on such things as income level, housing price, high tax rates, or any other testable group desired. Then, to reduce bias, simple random sampling would be used to pick between cities that qualify for the strata groups would be desired to test.