Answer:
S^2 = sample variance
x_i = the value of the one observation
\bar{x} = the mean value of all observations
n = the number of observations
Explanation:
In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its mean. In other words, it measures how far a set of numbers is spread out from their average value.
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