CORRELATION STATISTICS ($r$)
Global Data (n=150)-0.82
■ Simpson's Paradox:
A phenomenon in probability and statistics where a trend appears in several different groups of data but disappears or reverses when these groups are combined.
■ Common Failure Case:
Ignoring a confounding variable (like patient age, hospital department, or material type) can lead a researcher to drastically incorrect conclusions about causality. In this simulation, each subgroup has a positive correlation, but the total set exhibits a negative correlation.
A phenomenon in probability and statistics where a trend appears in several different groups of data but disappears or reverses when these groups are combined.
■ Common Failure Case:
Ignoring a confounding variable (like patient age, hospital department, or material type) can lead a researcher to drastically incorrect conclusions about causality. In this simulation, each subgroup has a positive correlation, but the total set exhibits a negative correlation.