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What is sampling precision?

Updated: 4/28/2022
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it implies the degree to which the strate choosen for research is apt

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Q: What is sampling precision?
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Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?

Answer is Quota sampling. Its one of the method of non-probability sampling.


Define the four different sampling techniques?

1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling


What is the difference between quota sampling and cluster sampling?

What is the difference between quota sampling and cluster sampling


What is optimum sample size?

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.


What is the difference between Sampling error vs sampling bias?

Sampling error leads to random error. Sampling bias leads to systematic error.

Related questions

What amount of sampling error is acceptable in a national sample of 1500 to 3000 respondents?

There can be no set value. An acceptable level of sampling error for a company making high precision machine parts is likely to be very different from the sampling error for household incomes, for example.


What are the various kind of sampling?

They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.


Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?

Answer is Quota sampling. Its one of the method of non-probability sampling.


What is sampling in research?

Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.


Is convenience sampling method not a random sampling?

You are correct; convenience sampling is not random sampling.


Define the four different sampling techniques?

1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling


What are the sources of sampling errors?

Sampling and Non sampling errors


What type of sampling (sample strategy) is it when I am sampling employees from different organizations?

Convenience sampling or quota sampling


What is the difference between quota sampling and cluster sampling?

What is the difference between quota sampling and cluster sampling


Mention different types of sampling in statistics.?

Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling


What is a dry sampling?

What is a dry sampling?


What sampling method?

Random Sampling