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Sample size greatly reduces any error to randomness in a given sample.
Each experiment requires a proper size of a sample. The better it is fitted to the experiment, the better is the result.
For example, if you are trying to find out the study habits of students at your school of 1000 kids, a sample size of 50 would be sufficient. However, if you are trying to find out the study habits of students across the US, a sample size of at least several hundred-thousand would be required, preferably several million.
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How does sample size affect the validity of an experiment?
The sample size has no effect on the validity of an experiment: instead, it is the experimental procedure and integrity of the experimenters.The sample size can affect conclusions that may be drawn from an experiment. The larger the sample is, the more reliable these conclusions are.
What is the benefit of using a large sample size in an experiment?
Statistically the larger the sample size the more significant the results of the experiment are. Chance variation is ruled out.
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 margin of error?
The larger the sample size, the smaller the margin of error.
What happens when you increase the sample size in an experiment?
Estimates based on the sample should become more accurate.
