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Q: What is the significance of sampling?
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What is the significance of sampling in research and what are the characteristics of a good sample?

Sampling is important as data collected is used to test the hypothesis. A good sample is a true representation of the general population. In addition, it should be flexible and focus on the research objectives.


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 role does Random Sampling Distribution in hypothesis testing?

It is an assumption to hypothesis testing. I can not comment on the significance of a violation of these assumptions without knowing how the non-random sample was taken.


What has the author Otis Brooke Haslop written?

Otis Brooke Haslop has written: 'Confidence intervals and tests of significance for conditional probabilities' -- subject(s): Probabilities, Sampling (Statistics)