Describe and derive estimation of error.
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The difference between an estimated value and the true value of a parameter or, sometimes, of a value to be predicted.
First, take the square of the difference between each data point and the sample mean, finding the sum of those values. Then, divide that sum by the sample size minus one, which is the variance.
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