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For known population, based on statistical proofs.
There is not a function in R for this (that I know of), but the book suggests that you calculate standard error by calculating (standard deviation(population)/square root (sample size).
Then you would make cut points at 97.5% and 2.5%.
The 97.5% cut point would be (mean + 2 * standard error) and the 2.5% cut point would be (mean - 2*standard error).
The text was updated successfully, but these errors were encountered:
For known population, based on statistical proofs.
There is not a function in R for this (that I know of), but the book suggests that you calculate standard error by calculating (standard deviation(population)/square root (sample size).
Then you would make cut points at 97.5% and 2.5%.
The 97.5% cut point would be (mean + 2 * standard error) and the 2.5% cut point would be (mean - 2*standard error).
The text was updated successfully, but these errors were encountered: