The mean of a distribution, most of the times referred as , is a way of capturing the center of mass of that particular distribution.
It’s equivalent to the expected value of a random variable :
statistics related: - Variance - Standard Deviation
The mean of a distribution, most of the times referred as μ, is a way of capturing the center of mass of that particular distribution.
It’s equivalent to the expected value of a random variable X:
μ=E[X]=x∑P(X=x)xstatistics related: - Variance - Standard Deviation