When variables have effects on the outcome which cannot be distinguished from each other, those variables are said to be:
A) correlated.
B) confounded.
C) Well designed.
D) Dependent.

Question

Quizplus · Accepted Answer

When variables have effects on the outcome which cannot be distinguished from each other, those variables are said to be confounded. This means that the effects of each variable cannot be separated from one another, making it difficult to determine the true cause and effect relationship between variables. Correlation refers to the relationship between variables, but it does not necessarily imply that the variables are confounded. Well-designed variables refer to variables that are carefully planned and controlled in an experiment. Dependence refers to a statistical relationship between variables.

When Variables Have Effects on the Outcome Which Cannot Be