Question

Which of the following is an accurate description of Simpson's paradox? When groups of data are aggregated, an association can get stronger because of a confounding variable. That confounding variable is usually the number of observations in different groups of data. When groups of data are combined, an association can get stronger because of a lurking variable. That lurking variable is usually the number of observations in the different groups of data. When groups of data are separated, an association can get stronger because of a lurking variable. That lurking variable is usually the number of observations in the different groups of data. When separate groups of data are combined, an association can reverse direction because of a lurking variable that was lost when the different groups of data were lumped together.

Answer 1

Answer:

When separate groups of data are combined, an association can reverse direction because of a lurking variable that was lost when the different groups of data were lumped together.

Description: Simpsons paradox relates to a pattern or trend which is apparent when groups are analyzed separately, but this pattern/trend gets lost when the groups are combined.

For the table below which of the following are true?

I. The sum of the values of all the conditional distributions must be 1.

II. Temperature and crime rate appear to be related (the warmer the temperature, the higher the crime rate).

III. The conditional distribution for Normal Crime Rate is roughly similar to the marginal distribution Temperature.