Independent Vs Dependant Variables. The variable that an experimenter changes or controls so that they can observe the effects on the dependent variable. The dependent variable is obviously dependent on the independent variable. This makes it easy for you to quickly see which variable is independent and which is dependent when looking at a graph or chart. A dependent variable is the variable being tested and measured in a scientific experiment.
A dependent variable is the one which we can test in a scientific experiment in order to get its values. This makes it easy for you to quickly see which variable is independent and which is dependent when looking at a graph or chart. You want to compare brands of paper towels to see which holds the most liquid. The independent and dependent variables are key to any scientific experiment but how do you tell them apart. The Independent variable is the presumed cause. In a study to determine whether how long a student sleeps affects test scores the independent variable is the length of time spent sleeping while the dependent variable is the test score.
The independent variable is the known variable that is manipulated in order to determine its effect if any on the dependent variable.
The dependent variable goes on the y-axis or vertical axis. Dependent variable changes then the independent variable will not be affected. The best way to understand the difference between a dependent and independent variable is that the meaning of each is implied by what the words tell us about the variable you are using. The variable being measured in an experiment that is dependent on the independent variable. The independent variable is the factor the researcher controls while the dependent variable is the one that is measured. Independent variable causes a change in Dependent Variable and it isnt possible that Dependent Variable could cause a change in Independent Variable.