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The permissible sampling error is required to determine sample size for
- a)estimating a mean
- b)estimating a proportion
- c)both
- d)none
Correct answer is option 'C'. Can you explain this answer?
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The permissible sampling error is required to determine sample size fo...
Estimating a Mean and Estimating a Proportion
Estimating a mean and estimating a proportion both require determining the permissible sampling error in order to calculate the appropriate sample size. The permissible sampling error is the maximum amount of error that is considered acceptable in the estimation process.
Mean Estimation
When estimating a mean, the permissible sampling error is crucial in determining the precision of the estimate. A smaller permissible sampling error indicates a more precise estimate, which requires a larger sample size. If the permissible sampling error is too large, the estimate may not accurately reflect the true population mean.
Proportion Estimation
Similarly, when estimating a proportion, the permissible sampling error is essential in determining the reliability of the estimate. A smaller permissible sampling error leads to a more accurate estimate of the proportion in the population. A larger sample size is needed to achieve a smaller permissible sampling error in proportion estimation.
Conclusion
Therefore, both estimating a mean and estimating a proportion require consideration of the permissible sampling error to determine the appropriate sample size. By understanding the level of precision or reliability needed in the estimation process, researchers can calculate the necessary sample size to achieve accurate results.
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The permissible sampling error is required to determine sample size fora)estimating a meanb)estimating a proportionc)bothd)noneCorrect answer is option 'C'. Can you explain this answer?
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