Variance calculations measure how much the values in a data set differ from the mean or expected value. This concept is important because it helps in understanding the spread or dispersion of data points, which can indicate how consistent or varied the outcomes are. In block designs, variance calculations can provide insights into the effectiveness of different treatments and help in designing experiments that minimize variability.
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