This is the best explanation for the Randomized Block Design if a co-variate exi

Question

This is the best explanation for the Randomized Block Design if a co-variate exists, we can analyze its effect on the outcome utilizing Analysis of Covariance (ANCOVA). To account for spurrious variation associated with a variable that interacts with the outcome variable, we can take random samples within levels of that variable. These random samples are called "Blocks." To account for spurrious variation associated with a pre-existing group difference, we can divide our sample into those groups, and then analyze the data for each group separately. These groups are called "Blocks." To reduce spurrious variation associated with a variable potentially interacting with the outcome variable, we can analyze our data by splitting our sample into sub-samples, each of which falls into one level of the interacting varaible. These sub-samples are called "Blocks."

Explanation / Answer

D is the best answer possible.

Related Questions

Navigate

• Browse (All)
• Browse T
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.