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. 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.

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Chapter1: Starting With Matlab
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AP statistics which is the correct 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.
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.
Transcribed Image Text: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. 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.
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 the
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.
Transcribed Image Text: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 the 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.
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