Define Normal distribution and calculate its mean
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Step-by-step explanation:
In probability theory, a normal distribution is a type of continuous probability distribution for a real-valued random variable.
The mean is in the center of the standard normal distribution, and a probability of 50% equals zero standard deviations.
Formula
f(x)= {\frac{1}{\sigma\sqrt{2\pi}}}e^{- {\frac {1}{2}} (\frac {x-\mu}{\sigma})^2}
f(x) = probability density function
\sigma = standard deviation
\mu = mean
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