Final answer:
In scientific experiments, the independent variable is what is manipulated or changed, whereas the dependent variable is what is measured in response to these changes. Control variables are kept constant to ensure a reliable experiment. Typically, one dependent variable is ideal for clear and concise results.
Step-by-step explanation:
In experimental design, we work with different types of variables to understand how one variable affects another. The independent variables are the ones that are manipulated, controlled or changed by the researcher to observe the effects on other variables. In contrast, dependent variables are the outcome variables that are measured to see how they change in response to the independent variables.
Control variables are of great importance as they help in maintaining the reliability of an experiment. They are the variables that researchers keep constant to ensure that the effect on the dependent variable is solely due to the manipulation of the independent variable. Having multiple dependent variables in an experiment is generally not advisable because it can complicate the analysis and interpretation of the data. Typically, researchers aim to have one dependent variable to maintain the experiment's clarity and integrity.