A distribution with mean (μ) equals to zero and variance (σ2) equals to one is called Standard Normal Variate. It is denoted by 'z'. It is also called z-score.
z-score tells us how an element of the dataset is close to mean. It can find the under-performing elements from the dataset. If z-score is low then, the element is close to the mean and if z-score is large then the element is far from the mean.
Formula to calculate z-score:
Let, X~N(μ,σ2),
X belongs to normal distribution (N) with mean μ and variance σ2. Then,
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