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The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.
The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.
Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.
The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.
The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.
Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.
The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.
The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.
Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.
The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.
The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.
Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.
The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.
The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.
Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.
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Factors to consider in determining sample size?
Factors that determine sample size
What is a sample size?
When something is a sample size, that means it is smaller than the size that is normally available for purchase. Sample size products are usually enough to let you try something before you buy it.
How does sample size affect the margin of error?
The larger the sample size, the smaller the margin of error.
Why would having a larger sample size be a better idea than having a samll sample size when doing an experiment?
less bias and error occur when sample size is larger
How does sample size affect the size of your standard error?
The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.
Which is better to use larger sample size or smaller sample size?
A larger sample size will give more accurate answers but at a greater cost. The skill of a statistician is in determining the optimum sample size in the trade off between accuracy and cost. The costs are both in terms of the cost of collecting and processing additional information against the risk of getting the answer wrong.
What is absolute sample size?
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
What is the difference between sample and sample size?
a sample is a sample sized piece given... a sample size is the amount given in one sample
Does sample size affect survey result?
Yes, sample size can significantly impact survey results. A larger sample size generally provides more representative and reliable results compared to a smaller sample size. With a larger sample size, the margin of error decreases, increasing the accuracy of the findings.
What is the difference between sample size and sample unit?
sample size is the specific size of a thing like the how long or wide. while sample unit is the whole thing not referring to specific number size.
What is the sample size definition?
Sample size is the number of samples arawn from a population. If you drew 20 samples, your sample size would be 20.
Factors to consider in determining sample size?
Factors that determine sample size
What is the optimum size for a mini laptop screen?
The optimum size for a mini laptop screen is 7". This is the smallest size for a mini laptop and they range in sizes from there. You can always visit a store to find out about other sizes.
Will margins of error for sample of size 80 be larger or smaller than those for sample size of 40?
They should be smaller for the sample size 80.
What is sample and sample size means?
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In basic statistics what is sample size and effective sample size?
sample size refers to the collection of data by only a selected size of te population through the process of sample surveys and sampling methods used in collecting data.
What is the sample size for a population of 60010?
well a sample size can be any size depending on the requirements. A sample size could be 10 people of that entire population or it could be 1000 people.
