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This will return a value (that functions as a 'standard-deviation multiplier') marking where 95% of data points would be contained if our data is a normal distribution. To get the exact number, we take the norm.ppf() output and multiply it by our standard deviation for the distribution in question. A Two-Tailed Test
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