What type of sampling is used? O A. Stratified sampling is used, since the field is divided into subplots and a random sample is taken from each subplot. O B. Cluster sampling is used, since the field is divided into subplots, a number of subplots are selected, and every soybean plant in the selected subplots is sampled. O C. Convenience sampling is used, since the soybean plants closest to the barn are sampled. O D. Simple random sampling is used, since each sample of soybean plants of the same amount has the same chance of being selected.
What type of sampling is used? O A. Stratified sampling is used, since the field is divided into subplots and a random sample is taken from each subplot. O B. Cluster sampling is used, since the field is divided into subplots, a number of subplots are selected, and every soybean plant in the selected subplots is sampled. O C. Convenience sampling is used, since the soybean plants closest to the barn are sampled. O D. Simple random sampling is used, since each sample of soybean plants of the same amount has the same chance of being selected.
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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![Identify the sampling techniques used, and discuss potential sources of bias (if any). Explain.
Soybeans are planted on a 45-acre field. The field is divided into one-acre subplots. A sample is taken from each subplot to estimate the harvest.
What type of sampling is used?
O A. Stratified sampling is used, since the field is divided into subplots and a random sample is taken from each subplot.
O B. Cluster sampling is used, since the field is divided into subplots, a number of subplots are selected, and every soybean plant in the selected subplots is sampled.
O C. Convenience sampling is used, since the soybean plants closest to the barn are sampled.
O D. Simple random sampling is used, since each sample of soybean plants of the same amount has the same chance of being selected.
What potential sources of bias are present, if any? Select all that apply.
O A. Certain subplots may have more or fewer soybean plants than others. Samples from these subplots may bias the overall sample.
O B. It is possible that, due to sampling error, the sample will not be representative.
O C. The sample only consists of the soybean plants that are easiest to reach. This may not be representative of the entire population.
O D. There are no potential sources of bias.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb102d73f-a34d-4f52-8605-568e37b449a5%2F7edd547d-1c50-4321-9399-8d116151e717%2Fz75xcyr_processed.png&w=3840&q=75)
Transcribed Image Text:Identify the sampling techniques used, and discuss potential sources of bias (if any). Explain.
Soybeans are planted on a 45-acre field. The field is divided into one-acre subplots. A sample is taken from each subplot to estimate the harvest.
What type of sampling is used?
O A. Stratified sampling is used, since the field is divided into subplots and a random sample is taken from each subplot.
O B. Cluster sampling is used, since the field is divided into subplots, a number of subplots are selected, and every soybean plant in the selected subplots is sampled.
O C. Convenience sampling is used, since the soybean plants closest to the barn are sampled.
O D. Simple random sampling is used, since each sample of soybean plants of the same amount has the same chance of being selected.
What potential sources of bias are present, if any? Select all that apply.
O A. Certain subplots may have more or fewer soybean plants than others. Samples from these subplots may bias the overall sample.
O B. It is possible that, due to sampling error, the sample will not be representative.
O C. The sample only consists of the soybean plants that are easiest to reach. This may not be representative of the entire population.
O D. There are no potential sources of bias.
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