Answer :
If a variable is normally distributed, approximately , the value of mean will have limit ( -∞ , ∞) and limit of variance is greater than 0
A probability distribution known as a "normal distribution" is symmetric about the mean and indicates that data that are close to the mean are more likely to occur than data that are far from the mean.
The normal distribution is depicted graphically as a "bell curve."
With a mean of 0 and a standard deviation of 1, the standard normal distribution is a normal distribution.
The standard deviation, which indicates how much a given measurement deviates from the mean, is given by the standard normal distribution, which has zero as its centre.
Using the normal distribution as a reference, 68% of observations are within one standard deviation of the mean
95% are within two standard deviations
99.9% are within three standard deviations.
The question is incomplete so I've answered in general
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