statistics
Chat with our AI personalities
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
The two types of variables are: independent variables and dependent variables.Independent variables are variables (ideally only one or very few per experiment) that the experimenter manipulates in the experiment. For example, if you were testing the effect of temperature on plant growth rates, you would likely have similar plants in similar conditions but in areas with different temperatures. The experimenter is changing the temperature between the groups of plants, so the temperature would be the independent variable.The dependent variables are the effects the independent variable has on the experimental subjects. They are changes not being directly controlled or manipulated by the experimenter. In the above temperature vs. plant growth example, the rate of plant growth would be the dependent variable; it depends on the temperature.
It is easier to control independent variables
Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
control variables: the things that are not changing.Independent variables: the things that you change.Dependent variables: the things that are changed due to the independent variable