Controls and Variables

What is a dependent variable in an experiment?

• The variable that is manipulated by the researcher.

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

• The variable that remains constant throughout the experiment.

• The variable that is used to compare against the experimental group.

What is the relationship between independent and dependent variables?

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

• The independent variable is always larger than the dependent variable.

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

• Independent variables do not affect dependent variables at all.

What is an independent variable in an experiment?

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

• The variable that remains constant throughout the experiment.

• The variable that is measured in response to changes in the independent variable.

• The variable that is not affected by any other variables in the experiment.

How can researchers ensure that their experiments are unbiased?

• By using random sampling, blinding, and controlling for variables.

• By conducting experiments in a controlled environment only.

• By selecting participants based on their availability.

• By using only qualitative data for analysis.

What is the purpose of conducting experiments with multiple trials?

• To ensure the reliability and accuracy of the results by minimizing the impact of random errors.

• To make the experiment more complicated and difficult to analyze.

• To reduce the time taken for the experiment to be completed.

• To increase the number of variables being tested in the experiment.

What are controls/constants in an experiment?

• Factors that are kept the same throughout an experiment to ensure that the results are due to the independent variable.

• Variables that are changed to observe their effect on the dependent variable.

• Elements that are randomly assigned to different groups in an experiment.

• Measurements taken at the end of an experiment to analyze the results.

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

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

• A control group is used to manipulate the independent variable directly.

• A control group is necessary to ensure that all variables are kept constant throughout the experiment.

• A control group is only needed in experiments involving human subjects.

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

• To keep it constant or unchanged during the experiment to prevent it from influencing the outcome.

• To change the variable frequently to observe different outcomes.

• To eliminate the variable completely from the experiment.

• To allow the variable to vary freely without any restrictions.

What role do constants play in ensuring the validity of an experiment?

• Constants ensure that the experiment is fair and that the results are due to the manipulation of the independent variable.

• Constants are used to measure the dependent variable in an experiment.

• Constants are variables that are changed during the experiment to test the hypothesis.

• Constants are irrelevant to the outcome of the experiment.

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

• The amount of sunlight the plants receive.

• The type of soil used for planting.

• The height of the plants after a certain period.

• The number of leaves on the plants.