Syntax
CONFIDENCE.NORM(alpha,standard_dev,size)
Tutorial with example
In today’s video I will explain how to calculate confidence intervals in power bi and why they are useful.

Download example files:
Download the pbix and excel file here.
Remarks
If any argument is nonnumeric, CONFIDENCE.NORM returns the #VALUE! error value.
If alpha ≤ 0 or alpha ≥ 1, CONFIDENCE.NORM returns the #NUM! error value.
If standard_dev ≤ 0, CONFIDENCE.NORM returns the #NUM! error value.
If size is not an integer, it is rounded.
If size < 1, CONFIDENCE.NORM returns the #NUM! error value.
If we assume alpha equals 0.05, we need to calculate the area under the standard normal curve that equals (1 – alpha), or 95 percent. This value is ± 1.96. The confidence interval is therefore:
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