The formula used to gain information about an individual data value when the variable is normally distributes is, Z = (X - μ)/σ.
What is standard normal distribution?
The standard normal distribution, also known as the z-distribution, is a unique type of normal distribution in which the mean and standard deviation are both equal to 1.
Any normal distribution's values can be transformed into z scores to standardize it.
Z scores indicate the number of standard deviations away from the mean that each value represents.
The Z score is determined by the number of standard deviations above or below the mean for the standard normal distribution.
When a variable (let's say X) is normally distributed, then to get insights from its distribution, we transform it (i.e. X) into standardized variable (which constitutes "Standard" Normal Distribution).
Standardized variable, Z, is given by (X - μ)/σ
Hence, option B is correct answer. Z = (X - μ)/σ.
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