In an experiment, the dependent variables are those that change or are affected as a result of changes made to the independent variables. The dependent variables are the measurable outcomes or responses that depend on the independent variables. They are the variables being observed and measured in the experiment to determine the effects of the independent variables.

Dependent variables are often represented on the vertical axis (y-axis) of a graph, while independent variables are represented on the horizontal axis (x-axis). The relationship between the independent and dependent variables is shown through the pattern or trend observed in the graph.

Here are some examples of dependent variables in different experiments:

1. Plant Growth Experiment:

- Dependent Variable: Plant height (measured in centimeters)

- Independent Variable: Amount of sunlight received by the plant

2. Chemical Reaction Experiment:

- Dependent Variable: Temperature change (measured in degrees Celsius)

- Independent Variable: Concentration of reactants

3. Psychology Experiment:

- Dependent Variable: Reaction time (measured in milliseconds)

- Independent Variable: Level of distraction during a task

4. Medical Trial:

- Dependent Variable: Patient's recovery rate

- Independent Variable: Type of medical treatment received

5. Education Study:

- Dependent Variable: Test scores (measured as percentage)

- Independent Variable: Teaching method used

6. Economics Experiment:

- Dependent Variable: Consumer spending (measured in dollars)

- Independent Variable: Income level

In each of these examples, the dependent variable is the outcome that is being measured to understand the impact of changes made to the independent variable. The values of the dependent variable are observed, recorded, and analyzed to draw conclusions about how the independent variable influences the outcome.