which of the following statements is false about the principles of a good experiment?\nif we collect more…

which of the following statements is false about the principles of a good experiment?\nif we collect more information on each case (e.g. take repeated measurements on each individual) that might be helpful to obtaining more precise results in an experiment.\nconsidering (controlling) more variables in planning an experiment helps ensure each study group is similar to the other study groups.\nstudying many cases (e.g. including many patients in a study) is often more helpful than just including a few cases in the study.\nusing a control group with a placebo is important since otherwise subjects in the control group may behave differently than those in the treatment group.\nrandomizing individuals into groups is one way of preventing accidental bias from creeping into a study.\nwe can always generalize the result of a study to the greater population so long as we randomize which patients go into which study groups.

which of the following statements is false about the principles of a good experiment?\nif we collect more information on each case (e.g. take repeated measurements on each individual) that might be helpful to obtaining more precise results in an experiment.\nconsidering (controlling) more variables in planning an experiment helps ensure each study group is similar to the other study groups.\nstudying many cases (e.g. including many patients in a study) is often more helpful than just including a few cases in the study.\nusing a control group with a placebo is important since otherwise subjects in the control group may behave differently than those in the treatment group.\nrandomizing individuals into groups is one way of preventing accidental bias from creeping into a study.\nwe can always generalize the result of a study to the greater population so long as we randomize which patients go into which study groups.

Answer

Brief Explanations:

Randomization helps, but it doesn't guarantee that results can always be generalized to the greater population. There are other factors like sample - representativeness, confounding variables that also play crucial roles.

Answer:

We can always generalize the result of a study to the greater population so long as we randomize which patients go into which study groups.