The independent variable is said to have been confounded whenever
A) the response differences could have been caused by other factors
B) the response differences are significant
C) null is rejected
D) the Type 1 error is committed

Question

Quizplus · Accepted Answer

A confounded independent variable is a variable that may have been caused by other factors rather than the one being studied. This means that the response differences observed may not actually be due to the independent variable being studied but could be due to other variables that were not accounted for. Therefore, option A is the correct choice. The other options (B, C, and D) are not relevant to the concept of a confounded independent variable.

The Independent Variable Is Said to Have Been Confounded Whenever