1. Independent Variables:
* Definition: The factor that is intentionally changed or manipulated by the experimenter.
* Purpose: To see what effect this change has on the dependent variable.
* Example: In an experiment studying plant growth, the independent variable could be the amount of water given to each plant.
2. Dependent Variables:
* Definition: The factor that is measured or observed in an experiment. It is expected to change in response to the independent variable.
* Purpose: To see how the independent variable influences it.
* Example: In the plant growth experiment, the dependent variable could be the height of the plant after a certain period.
Other important types of variables:
* Controlled Variables: These are factors that are kept constant throughout the experiment to ensure that any changes in the dependent variable are solely due to the independent variable.
* Extraneous Variables: These are variables that are not intentionally manipulated but could potentially influence the dependent variable. They are often controlled for or accounted for in the experiment design.
It's crucial to understand the distinction between independent and dependent variables to design and interpret scientific experiments effectively.
