Author Question: Without some correction, sample variability is said to be biased.. Define the term biased, and ... (Read 114 times)

sam.t96 · **on:** Jun 20, 2018

Without some correction, sample variability is said to be biased.. Define the term biased, and explain how this bias is corrected in the formula for sample variance.

What will be an ideal response?

Question 2

For the following sample, use the computational formula to calculate SS and then compute the sample variance and standard deviation. Scores: 1, 3, 1, 1

What will be an ideal response?

vish98 · **Reply #1 on:** Jun 20, 2018

Answer to Question 1

Without some correction, sample variability tends to be smaller than the population variability. Whenever a statistic consistently underestimates (or overestimates) the corresponding population parameter, the statistic is said to be biased. The bias in sample variability is corrected by dividing the sum of squared deviations (SS) by n 1 (instead of n) in the formula for sample variance.

Answer to Question 2

SS = 3, 2 = 1, and = 1