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The estimated true proportion of success is required to determine sample size for
- a)estimating a mean
- b)estimating a proportion
- c)both
- d)none
Correct answer is option 'B'. Can you explain this answer?
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The estimated true proportion of success is required to determine samp...
Estimating a Proportion
Estimating a proportion involves determining the sample size needed to estimate the true proportion of success in a population. The estimated true proportion of success is essential in this case to ensure that the sample size is adequate for obtaining reliable results.
Why is the estimated true proportion of success required?
- The estimated true proportion of success helps in calculating the margin of error for the estimated proportion.
- It also aids in determining the confidence interval around the estimated proportion.
- The accuracy of the estimate depends on the estimated true proportion of success, as it influences the variability in the sample data.
Significance of sample size determination
- A larger sample size is required when the estimated true proportion of success is closer to 0.5, as this results in higher variability.
- Conversely, a smaller sample size can be used when the estimated true proportion of success is closer to 0 or 1, as there is lower variability.
- By knowing the estimated true proportion of success, researchers can optimize the sample size to achieve the desired level of precision in their estimates.
In conclusion, estimating a proportion requires the knowledge of the estimated true proportion of success to determine the appropriate sample size. This ensures that the study results are reliable and accurate, reflecting the true proportion in the population being studied.
Estimating a proportion involves determining the sample size needed to estimate the true proportion of success in a population. The estimated true proportion of success is essential in this case to ensure that the sample size is adequate for obtaining reliable results.
Why is the estimated true proportion of success required?
- The estimated true proportion of success helps in calculating the margin of error for the estimated proportion.
- It also aids in determining the confidence interval around the estimated proportion.
- The accuracy of the estimate depends on the estimated true proportion of success, as it influences the variability in the sample data.
Significance of sample size determination
- A larger sample size is required when the estimated true proportion of success is closer to 0.5, as this results in higher variability.
- Conversely, a smaller sample size can be used when the estimated true proportion of success is closer to 0 or 1, as there is lower variability.
- By knowing the estimated true proportion of success, researchers can optimize the sample size to achieve the desired level of precision in their estimates.
In conclusion, estimating a proportion requires the knowledge of the estimated true proportion of success to determine the appropriate sample size. This ensures that the study results are reliable and accurate, reflecting the true proportion in the population being studied.
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The estimated true proportion of success is required to determine sample size fora)estimating a meanb)estimating a proportionc)bothd)noneCorrect answer is option 'B'. Can you explain this answer?
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The estimated true proportion of success is required to determine sample size fora)estimating a meanb)estimating a proportionc)bothd)noneCorrect answer is option 'B'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about The estimated true proportion of success is required to determine sample size fora)estimating a meanb)estimating a proportionc)bothd)noneCorrect answer is option 'B'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for The estimated true proportion of success is required to determine sample size fora)estimating a meanb)estimating a proportionc)bothd)noneCorrect answer is option 'B'. Can you explain this answer?.
The estimated true proportion of success is required to determine sample size fora)estimating a meanb)estimating a proportionc)bothd)noneCorrect answer is option 'B'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about The estimated true proportion of success is required to determine sample size fora)estimating a meanb)estimating a proportionc)bothd)noneCorrect answer is option 'B'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for The estimated true proportion of success is required to determine sample size fora)estimating a meanb)estimating a proportionc)bothd)noneCorrect answer is option 'B'. Can you explain this answer?.
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