Controls and Variables

Front

What is a dependent variable in an experiment?

Back

The dependent variable is the variable that is measured or observed in an experiment, which is affected by changes in the independent variable.

Front

What is an independent variable in an experiment?

Back

The independent variable is the variable that is manipulated or changed in an experiment to observe its effect on the dependent variable.

Front

What are controls/constants in an experiment?

Back

Controls/constants are the factors that are kept the same throughout an experiment to ensure that the results are due to the independent variable.

Front

In the context of an experiment, what does it mean to 'control' a variable?

Back

To control a variable means to keep it constant or unchanged during the experiment to prevent it from influencing the outcome.

Front

Why is it important to identify the dependent variable in an experiment?

Back

Identifying the dependent variable is crucial because it helps to determine what is being measured and how it responds to changes in the independent variable.

Front

How can you determine the independent variable in a given experiment?

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The independent variable can be determined by identifying what is being changed or manipulated in the experiment.

Front

What is the relationship between independent and dependent variables?

Back

The independent variable is the cause that is manipulated, while the dependent variable is the effect that is measured.

Front

Give an example of a dependent variable in a study about plant growth.

Back

An example of a dependent variable in a study about plant growth could be the height of the plants after a certain period.

Front

What is the significance of having a control group in an experiment?

Back

A control group serves as a baseline to compare the effects of the independent variable, helping to validate the results.

Front

What is the purpose of conducting experiments with multiple trials?

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Conducting multiple trials helps to ensure the reliability and accuracy of the results by minimizing the impact of random errors.