STDEVP
Measures the population standard deviation to analyze data variability.
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Measures the population standard deviation to analyze data variability.
The STDEVP function returns the population standard deviation of a dataset. It measures how widely values are dispersed from the mean, assuming the data represents the entire population. The calculation uses (n) in the denominator.
STDEVP(number1, [number2], ...)The STDEVP function syntax has the following arguments:
number1, number2, ... - The numeric values for which you want to calculate the population standard deviation. Required.
STDEVP(10, 20, 30, 40, 50)
// Returns 14.14You can use the STDEVP function to analyze how widely values are spread from the mean by calculating the population standard deviation for metrics such as sales, revenue, or performance scores.

We used the SELECT function to select a range of columns from 1 to 4 for the 'Revenue' measure (2022 Revenue - 2025 Revenue)
STDEVS calculates the sample standard deviation using (n − 1) in the denominator and should be used when working with a sample dataset, whereas STDEVP calculates the population standard deviation using (n) in the denominator and should be used when working with the entire population.
Q1. How is STDEVP calculated?
STDEVP (Population Standard Deviation) is calculated by taking the square root of the sum of squared deviations from the mean, divided by (n).

Where:
x = each value in the dataset
= mean of the values
n = number of values
It measures how widely the values are spread from the mean by calculating the population standard deviation, which is the square root of the population variance.
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