A controlled experiment is one that
a. Proceeds slowly enough that a scientist can make careful records of the results.
b. Tests experimental and control groups in parallel.
c. Is repeated many times to make sure the results are accurate.
d. Keeps all variables constant.

검증된 단계별 안내

Understand the concept of a controlled experiment: A controlled experiment is designed to test the effect of a single variable while keeping all other variables constant.

Identify the key components of a controlled experiment: It typically involves an experimental group and a control group. The experimental group is exposed to the variable being tested, while the control group is not.

Consider the purpose of having a control group: The control group serves as a baseline to compare the results of the experimental group, helping to isolate the effects of the variable being tested.

Evaluate the options given in the problem: Analyze each option to determine which one accurately describes the nature of a controlled experiment.

Select the option that best fits the definition of a controlled experiment: The correct choice should reflect the parallel testing of experimental and control groups, which is a fundamental aspect of controlled experiments.

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주요 개념

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Controlled Experiment

A controlled experiment is a scientific test where all variables are kept constant except for the one being tested. This allows researchers to isolate the effects of the independent variable on the dependent variable, ensuring that any observed changes are due to the manipulation of the independent variable alone.

Experimental and Control Groups

In a controlled experiment, the experimental group is exposed to the independent variable, while the control group is not. This parallel testing allows scientists to compare outcomes between the two groups, helping to determine the effect of the independent variable by providing a baseline for comparison.

Variable Control

Variable control involves maintaining all other variables constant except the one being tested. This is crucial in experiments to ensure that any changes in the dependent variable are directly attributable to the independent variable, thus eliminating confounding factors and enhancing the reliability of the results.