Lesson 4.10 Independent and Dependent Variables

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.

What is an independent variable?

• A variable that is measured in an experiment

• A variable that is kept constant throughout the experiment

• A factor that is changed or controlled to test its effects on the dependent variable

• A variable that does not affect the outcome of the experiment

Why is it important to have a control group in an experiment?

• A control group provides a baseline for comparison, helping to determine the effect of the independent variable.

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

• A control group eliminates the need for randomization in experiments.

• A control group ensures that all variables are kept constant throughout the experiment.

Example of an independent variable in a study about plant growth:

• The amount of sunlight received by the plants.

• The type of fertilizer used.

• The size of the pots used for planting.

• The temperature of the environment.

What is a dependent variable?

• A variable that is manipulated in an experiment.

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

• A constant that remains unchanged throughout the experiment.

• A variable that does not affect the outcome of the experiment.

In an experiment, how do you identify the independent variable?

• The independent variable is the one that is manipulated or changed by the experimenter.

• The independent variable is the one that remains constant throughout the experiment.

• The independent variable is the one that is measured as a result of the experiment.

• The independent variable is the one that is observed and recorded during the experiment.

In an experiment, how do you identify the dependent variable?

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

• The dependent variable is the variable that is manipulated by the researcher.

• The dependent variable is the variable that remains constant throughout the experiment.

• The dependent variable is the initial condition set before the experiment begins.

What is the purpose of controlling variables in an experiment?

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

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

• To simplify the experiment by removing unnecessary factors.

• To make the experiment more complex and challenging.

What is the difference between qualitative and quantitative data?

• Qualitative data involves numerical measurements, while quantitative data describes characteristics or qualities.

• Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements.

• Qualitative data is always more accurate than quantitative data.

• Quantitative data is subjective, while qualitative data is objective.

What does it mean to have a positive correlation between two variables?

• A positive correlation means that as one variable increases, the other variable also tends to increase.

• A positive correlation means that as one variable increases, the other variable tends to decrease.

• A positive correlation means that there is no relationship between the two variables.

• A positive correlation means that both variables are constant and do not change.