Question

answer the question. 3.7) why is it important to control all of the variables except one in an experiment? (hint: refer back to the variable section of the example of an experiment.)

Explanation:

Controlling all but one variable in an experiment allows for clear identification of the effect of the single - variable being tested. If multiple variables change simultaneously, it's impossible to determine which variable caused the observed outcome. This helps in establishing a cause - and - effect relationship.

Answer:

To establish a clear cause - and - effect relationship by isolating the impact of the single variable being tested.