independant vs dependant variable explanation
In scientific experiments and studies, the terms "independent variable" and "dependent variable" are used to describe the relationship between two factors being measured or observed.
The independent variable is the factor that is intentionally manipulated or changed by the researcher. It is the variable that is believed to have an impact on the dependent variable. The independent variable is controlled in order to observe the effect it has on the dependent variable. For example, if we wanted to investigate the effect of temperature on plant growth, temperature would be the independent variable. We would change the temperature and then measure the dependent variable, which in this case would be plant growth.
The dependent variable, on the other hand, is the factor that is being measured or observed as the outcome or response to changes in the independent variable. The dependent variable is expected to change in response to the independent variable being manipulated. In the previous example, plant growth would be the dependent variable, as it is the outcome that is being measured in response to changes in temperature.
In summary, the independent variable is the one being intentionally changed or manipulated by the researcher, while the dependent variable is the outcome or response that is being measured or observed.