Explanation:
Independent Variable:
An independent variable is a factor or condition that researchers manipulate or change deliberately in an experiment to observe its effect on another variable, known as the dependent variable. It is the variable that is being tested or studied to see how it influences the dependent variable. Researchers have control over the independent variable, and they use it to determine if changes in this variable lead to changes in the dependent variable.
Dependent Variable:
A dependent variable, on the other hand, is the variable that is measured or observed in an experiment. It is the outcome or response that researchers are interested in studying and is dependent on changes in the independent variable. The dependent variable is what researchers are trying to understand or explain, and its changes are a result of the manipulations made to the independent variable.
In summary, the independent variable is what researchers change or manipulate, while the dependent variable is what they measure or observe to determine the effects of those changes. The relationship between these two variables helps researchers draw conclusions about cause and effect in scientific experiments.
TL;DR:
Independent Variable: This is what researchers deliberately change in an experiment to see how it affects another variable.
Dependent Variable: This is what researchers measure or observe to understand the impact of changes made to the independent variable.