A situation in which conclusions based upon aggregated crosstabulation are different from unaggregated crosstabulation is known as

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Simpson's paradox occurs when a trend appears in different groups of data but disappears or reverses when the groups are combined. This can happen when the groups have different distributions and sizes, and the effect of these variables on the outcome is not taken into account. Therefore, conclusions based on aggregated crosstabulation can be different from unaggregated crosstabulation, leading to misleading interpretations of the data.

A Situation in Which Conclusions Based Upon Aggregated Crosstabulation Are