Explain why the formulas for sample variance and population variance are different. A. Variance is defined as the mean deviation, and, for a population, is computed as the sum of deviations divided by N. The sample variance will be biased and will consistently underestimate the corresponding population value.
B. Variance is defined as the mean squared deviation, and, for a population, is computed as the sum of squared deviations divided by N. The sample variance will be biased and will consistently underestimate the corresponding population value.
C. Variance is defined as the mean squared deviation, and, for a population, is computed as the sum of deviations divided by N. The sample variance will be biased and will consistently underestimate the corresponding population value.