Identify the sampling techniques used, and discuss potential sources of bias (if any). Explain. Carrots 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. Simple random sampling is used, since each sample of carrot plants of the same amount has the same chance of being selected. OB. Convenience sampling is used, since the carrot plants closest to the barn are sampled. OC. Cluster sampling is used, since the field is divided into subplots, a number of subplots are selected, and every carrot plant in the selected subplots is sampled. OD. Stratified sampling is used, since the field is divided into subplots and a random sample is taken from each subplot. What potential sources of bias are present, if any? Select all that apply. A. It is possible that, due to sampling error, the sample will not be representative. B. Certain subplots may have more or fewer carrot plants than others. Samples from these subplots may bias the overall sample. C. The sample only consists of the carrot plants that are easiest to reach. This may not be representative of the entire population.
Identify the sampling techniques used, and discuss potential sources of bias (if any). Explain. Carrots 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. Simple random sampling is used, since each sample of carrot plants of the same amount has the same chance of being selected. OB. Convenience sampling is used, since the carrot plants closest to the barn are sampled. OC. Cluster sampling is used, since the field is divided into subplots, a number of subplots are selected, and every carrot plant in the selected subplots is sampled. OD. Stratified sampling is used, since the field is divided into subplots and a random sample is taken from each subplot. What potential sources of bias are present, if any? Select all that apply. A. It is possible that, due to sampling error, the sample will not be representative. B. Certain subplots may have more or fewer carrot plants than others. Samples from these subplots may bias the overall sample. C. The sample only consists of the carrot plants that are easiest to reach. This may not be representative of the entire population.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Transcribed Image Text:### Identifying Sampling Techniques and Potential Sources of Bias in Agricultural Data Collection
Carrots 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.
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**What type of sampling is used?**
- **A.** Simple random sampling is used since each sample of carrot plants of the same amount has the same chance of being selected.
- **B.** Convenience sampling is used since the carrot plants closest to the barn are sampled.
- **C.** Cluster sampling is used since the field is divided into subplots, a number of subplots are selected, and every carrot plant in the selected subplots is sampled.
- **D.** Stratified sampling is used since the field is divided into subplots and a random sample is taken from each subplot.
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**What potential sources of bias are present, if any? Select all that apply.**
- **A.** It is possible that, due to sampling error, the sample will not be representative.
- **B.** Certain subplots may have more or fewer carrot plants than others. Samples from these subplots may bias the overall sample.
- **C.** The sample only consists of the carrot plants that are easiest to reach. This may not be representative of the entire population.
- **D.** There are no potential sources of bias.
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In summary, it’s crucial to understand the different sampling techniques and identify any potential sources of bias to ensure that the data collected is as accurate and representative as possible. Selecting the appropriate method and identifying possible biases can significantly enhance the validity of the research conclusions.
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