There are many factors that could affect the results of an experiment. Some of these factors include temperature, substances used and the apparatus among others.
variable
Variable
Variable
A factor that confuses the result of an experiment is called a confounding variable. This variable affects the dependent variable and makes it difficult to determine the true effect of the independent variable being studied. Controlling for confounding variables is important in ensuring the validity and reliability of experimental results.
The factor that is measured as a result of the change in an experiment is termed the dependent variable. It is the variable that is observed and measured to determine the effect of the independent variable, which is the factor being manipulated in the experiment.
It depends. The dependent variable affects the result
The factor that is manipulated by the investigator in a psychological experiment is called the independent variable. It is the variable that the researcher changes or controls to see how it affects the dependent variable.
The factor that the scientist changes or manipulates in an experiment is called the independent variable. It is the variable that is intentionally varied to observe its effect on the dependent variable, which is the outcome being measured in the experiment.
Dependent variable. The independent variable is the factor that is changed during the experiment. The dependent variable is the factor that is measured. Written in an "if-then" statement, the IV follows the "if" and the DV follows the "then."
The initial velocity of the projectile is the only factor that affects its range. Increasing the initial velocity will result in a longer range, while decreasing it will result in a shorter range.
The dependent variable is the factor that is being measured or observed in response to changes in the independent variable. It is the outcome or result of the experiment that is affected by the independent variable.
So scientists can know for certain if the factor they're testing affects the outcome and isn't caused by another factor which isn't being measured. It elimiantes the chance of another factor affecting the outcome of an experiment.