Why do experiments enable cause-and-effect conclusions?

Experiments enable cause-and-effect conclusions by isolating variables and controlling conditions, allowing researchers to determine how changes in one variable directly influence another. By randomly assigning subjects to different groups and manipulating independent variables while keeping other factors constant, experiments minimize confounding influences. This systematic approach helps establish a clear causal relationship, as the outcomes can be attributed specifically to the manipulated variable. Thus, experiments provide stronger evidence for causation compared to observational studies.