Describe the Relationship Between Precision and Sampling Error

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The Answer is Precision and sampling error are closely related in that precision refers to the level of consistency and accuracy in measurements, while sampling error refers to the amount of variability or uncertainty in the sample data compared to the population.

In general, a smaller sample size is likely to have a larger sampling error compared to a larger sample size. This is because a smaller sample may not accurately represent the population, leading to more variability and uncertainty in the results. On the other hand, a larger sample size is more likely to provide a more accurate representation of the population, resulting in lower sampling error.

Similarly, the relationship between precision and sample size is such that a smaller sample is likely to have lower precision compared to a larger sample. This is because a smaller sample may not capture the full range of variability in the population, leading to less precise measurements. In contrast, a larger sample size is more likely to provide more precise measurements due to its ability to capture a wider range of variability in the population.

In summary, a smaller sample is likely to have higher sampling error and lower precision compared to a larger sample. Therefore, researchers should consider the trade-offs between precision, sampling error, and sample size when designing studies and interpreting results.

Describe the Relationship Between Precision and Sampling Error

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Describe the Relationship Between Precision and Sampling Error

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Correct Answer:
Answered by ExamLex AI