Differentiate between independent and dependent variables

Independent and dependent variables are two key types of variables in a scientific experiment or research study.

1. Independent Variable: This is the variable that the researcher manipulates or changes in an experiment. It is independent because its variation does not depend on any other variable in the experiment. The independent variable is the cause or input in the cause-and-effect relationship that the researcher is trying to establish. For example, if a researcher is studying the effect of different amounts of sunlight on plant growth, the amount of sunlight would be the independent variable.

2. Dependent Variable: This is the variable that the researcher measures or observes. It is dependent because its value depends on the changes in the independent variable. The dependent variable is the effect or outcome in the cause-and-effect relationship. In the example above, the plant growth would be the dependent variable.

In summary, the independent variable is what the researcher changes or controls and expects to have an impact on the dependent variable, while the dependent variable is what changes when the independent variable is manipulated.