Final answer:
In an experiment, the independent variable is manipulated by the researcher, while the dependent variable is the observed result that may change due to the manipulation of the independent variable.
Step-by-step explanation:
Understanding Independent and Dependent Variables in Experiments
In an experiment, the independent variable is the factor that the researcher changes or manipulates, while the dependent variable is the factor that is observed or measured to see if it is affected by changes in the independent variable. For instance, when a scientist is testing if bacteria grow faster on gel A or gel B, gel type (A or B) is the independent variable because it is what is being changed. The number of bacteria that grow, which is observed after 24 hours, is the dependent variable as it is what the scientist is measuring and depends on which gel is used.
Designing an experiment requires careful consideration of these variables to ensure that any observed effects can be attributed to changes in the independent variable, not to other factors. The control of other potential variables is critical to establish a cause-and-effect relationship.