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AFFDLTR655700CeqQGAUSSIAN APPROXIMATIONS TO THE DISTRIBUTION OF SAMPLE COHERENCE. D. ENOCH N. R. GOODMAN[MEASUREMENT ANALYSIS CORPORA \” FOR FA.ii. \” TECHNICAL REPORT AFFDDLTnRZZQJUNE 1965AIR
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Calculate the mean of the data set.
02
Calculate the standard deviation of the data set.
03
Use the mean and standard deviation to calculate the z-score for each data point.
04
Use the standard normal distribution table to find the area under the curve for each z-score.
05
Multiply the area under the curve by the standard deviation and add the mean to get the approximate value for each data point.

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Gaussian approximations to form are used to approximate complex distributions with simpler Gaussian distributions.
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The purpose of gaussian approximations to form is to simplify the analysis of complex distributions and make calculations more manageable.
On gaussian approximations to form, information such as the mean, variance, and standard deviation of the distribution being approximated must be reported.
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