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Fisher transformation is a mathematical method to convert the correlation coefficient into a normal distribution, which can help us perform hypothesis testing.
The syntax of the function is FISHER(x), where x is the value that needs to be transformed.
The transformed value
If X is nonnumeric, the FISHER function returns the #VALUE! error value.
If X ≤ -1 or X ≥ 1, the FISHER function returns the #NUM! error value.
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