Which of the following is an accurate description of Simpson's paradox?
A. 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. B. 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. C. When groups of data are aggregated, an association can get stronger because of a confounding variable. The confounding variable is usually the number of observations in different groups of data D. When groups of data are combined, an association can reverse direction because of inaccurate data. That inaccurate data usually concerns the number of observations in the different groups of data E. 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.
@ganeshie8 @perl i think its D but I just wanted to check, thanks!
Simpson's paradox is a paradox in probability and statistics, in which a trend that appears in different groups of data disappears or reverses when these groups are combined
simpsons paradox does not have to do with inaccurate data
the data is accurate
ohhh, i knew it had to do with reverse data and how proportions could reverse it which is how i narrowed it down but thats as much as i knew based on the definition, would it be E then?
yes i think so
ok thanks!
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