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The Z-score formula normalizes the data by subtracting the mean ($\mu$) from the original value ($X$) and dividing the result by the standard deviation ($\sigma$). The formula is $X' = \frac{X - \mu}{\sigma}$.

Conditions: Requires knowing the mean and standard deviation of the dataset

The Z-score formula normalizes the data by subtracting the mean ($\mu$) from the original value ($X$) and dividing the result by the standard deviation ($\sigma$). The formula is $X' = \frac{X - \mu}{\sigma}$.

Conditions: Requires knowing the mean and standard deviation of the dataset