The proper way to describe errors of prediction is to compute
A)the variance.
B)the range.
C)a z-score.
D)a T-score.

Question

Quizplus · Accepted Answer

The variance is a statistical measure of how spread out a set of data is, and it is commonly used to describe the errors of prediction. By calculating the variance of the predicted values compared to the actual values, we can quantify how accurate the predictions are and identify any patterns or outliers in the data. The range, z-score, and T-score are also useful statistical measures, but they are not as directly relevant to describing errors of prediction.

The Proper Way to Describe Errors of Prediction Is to Compute