To find the

**Z score**of a sample, you'll need to find the mean, variance and standard deviation of the sample. To**calculate**the**z**-**score**, you will find the difference between a value in the sample and the mean, and divide it by the standard deviation.Keeping this in consideration, what does Z stand for in statistics?

**z**-score. A

**z**-score (aka, a standard score) indicates how many standard deviations an element is from the

**mean**. A

**z**-score can be calculated from the following formula.

**z**= (X - μ) / σ where

**z**is the

**z**-score, X is the value of the element, μ is the population

**mean**, and σ is the standard deviation.

What does the Z score tell you?

Simply put, a

**z**-**score**is the number of standard deviations from the**mean**a data point is. But more technically it's a measure of how many standard deviations below or above the population**mean**a raw**score**is. A**z**-**score**is also known as a standard**score**and it can be placed on a normal distribution curve.What is Z in probability?

It is also called Gaussian distribution. The normal distribution density function f(

**z**) is called the Bell Curve because it has the shape that resembles a bell. Standard normal distribution table is used to find the area under the f(**z**) function in order to find the**probability**of a specified range of distribution.