Independent variables are factors that can be manipulated or changed in an experiment to observe their effect on dependent variables. Five examples include: 1) Temperature in a study on the rate of chemical reactions, 2) Amount of sunlight in a plant growth experiment, 3) Dose of medication in clinical trials, 4) Type of fertilizer used in agricultural research, and 5) Duration of exercise in a fitness study. Each of these variables can be controlled to assess their impact on the outcomes being measured.
doesn't have to have a variable of any thing !!!
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
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.
True. Good examples are shown in related links.
Some examples of a scientific variable is Independent Variable Control Variables :)
doesn't have to have a variable of any thing !!!
Independent and dependent variables are the variables that change during the course of an experiment. An example might be an experiment on how temperature affects plant growth. Changing the temperature is the independent variable, while the level of plant growth that results is the dependent variable.
Its a element, feature, or factor that is liable to vary or change.
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
Independent and dependent are types of variables. These variables are used mostly in science and math. When using independent variables you can control them dependent variables you cannot.
It depends on the number of variables and their nature: 2 variables, both independent: either axis 2 variables, one independent: x-axis 3 variables, all independent: any axis 3 variables, 2 independent: x or y-axis. 3 variables, 1 independent: x-axis. and so on.
Experimental variables include independent variables, which are manipulated by the researcher to observe their effect, and dependent variables, which are measured as the outcome of the experiment. For example, in a study on plant growth, the amount of sunlight (independent variable) can be varied, while the growth rate of the plants (dependent variable) is recorded. Other examples include control variables, which are kept constant to ensure a fair test, such as soil type and water amount.
It is easier to control independent variables
Constants stays the same independent variables is the variable that is being manipulated
The types of variables according to functional relationship are independent variables and dependent variables. Independent variables are inputs that are manipulated or controlled in an experiment, while dependent variables are the outputs that are affected by changes in the 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.