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Is simple random sampling usually done with or without replacement?

Short Answer

Expert verified
Simple random sampling is usually done without replacement.

Step by step solution

01

Understanding Simple Random Sampling

Simple Random Sampling is a type of probability sampling technique where every item in the population has an equal chance of being selected. This method is considered fair because it does not show any bias.
02

Understanding Sampling With Replacement

Sampling with replacement means that a selected item is placed back into the population and could be chosen again. This method creates the potential for a data point to be surveyed more than once.
03

Understanding Sampling Without Replacement

Sampling without replacement means that once an item is selected and recorded, it is not placed back into the population, thus ensuring that each data point can only be chosen once.
04

Conclusion

Simple random sampling is usually done without replacement. This is because, in most cases, we want to prevent the same item from being selected more than once for it to be a fair representation of the population. Furthermore, in theory, when the sample size is a small fraction (say less than 5%) of the size of the population, the difference between the results obtained from sampling with or without replacement becomes negligible.

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