Tuesday

October 21, 2014

October 21, 2014

Posted by **Jon** on Thursday, February 21, 2013 at 12:38am.

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.

I was thinking option A

**Answer this Question**

**Related Questions**

Statistics - Which of the following is an accurate description of Simpson's ...

Statistics - Which of the following is an accurate description of Simpson's ...

epidemiology - Assessing Random Error, Confounding, and Effect Modification ...

Statistics - Tuyns et al. (1977) carried out a case-control study of esophageal ...

scientific method - http://classweb.gmu.edu/biologyresources/writingguide/...

Biostatistics - Hi, I have answered some questions for some homework and I've ...

statistics - • Two-sample Non-parametric Test Now, we examine the relationship ...

biology - You want to design an experiment to test if a bacteria affects a ...

calculus SIMPSON RULE - Use Simpson's Rule and all the data in the following ...

Statistics - When is it appropriate to draw a causal connection between two ...