Here's a breakdown:
* Independent Variable: The factor that is being changed or manipulated by the experimenter.
* Dependent Variable: The factor that is being measured or observed as a result of the changes made to the independent variable.
Think of it like this:
* Independent Variable: The "cause" or the factor that influences the outcome.
* Dependent Variable: The "effect" or the outcome that's being studied.
Example:
Experiment: Investigating the effect of fertilizer on plant growth.
* Independent Variable: Amount of fertilizer (the experimenter changes this)
* Dependent Variable: Height of the plant (the outcome being measured)
In this case, the height of the plant depends on the amount of fertilizer used. The experimenter would change the amount of fertilizer (independent variable) and observe how the height of the plant (dependent variable) changes in response.
Key Points:
* The dependent variable is always plotted on the y-axis of a graph.
* It's important to keep all other variables constant except for the independent variable to isolate the effect of the independent variable on the dependent variable.
Understanding the dependent variable is crucial for interpreting experimental results and drawing valid conclusions.
