Why Is It Important to Divide by Df to Compute

question 60

Multiple Choice

Why is it important to divide by df to compute sample variance?

• A) Doing so makes the sample variance an unbiased estimator of the population variance.
• B) Doing so ensures that the value for sample variance varies between 0 and 1.
• C) Doing so minimizes the likelihood that the sample variance will be a negative value.
• D) It is not important; there is no advantage for dividing by df.

---

Definitions:

Observational

Pertaining to research methods that involve watching and recording behaviors or outcomes in their natural setting without manipulation.

Nested Case-Control

A study design used within a cohort study, where a subset of participants with a specific outcome is compared to a subset without the outcome from the same cohort.

Recall Bias

A systematic error caused by differences in the accuracy or completeness of the recollections retrieved by study participants.

Economical

Related to economics or economy, often used to describe something that is cost-effective or does not waste resources.