The test variable (independent variable) controls the outcome variable (dependent variable).
Experiment controlled
The answer depends on what aspect you wish to compare: If you wish to find out if the two variables are correlated one statistical technique is the chi-square test.
A ratio uses division to compare two quantities.
Explain the similarities between two or more objects.
The test variable (independent variable) controls the outcome variable (dependent variable).
experimental control
In an experiment, the independent variable is manipulated or controlled by the researcher, while the dependent variable is measured to see the effect of the independent variable. The independent variable is the cause, while the dependent variable is the effect. Changes in the independent variable are expected to cause changes in the dependent variable.
The variable of the experiment that is being tested or the part that is changed by the person doing the experiment is called the independent variable... Thank you for letting me answer goodbye... ;)
Test variables are the factors that are intentionally changed or manipulated by the researcher in an experiment, whereas outcome variables are the factors that are measured and affected by the test variables. Test variables are the independent variables that are controlled by the researcher, while outcome variables are the dependent variables that change in response to the test variables. The relationship between the test variables and outcome variables is explored to determine the effect of the test variables on the outcome variables.
Experiment controlled
There are three kinds of variables in an experiment. The independent variable is what you change in the experiment. It is important that you have only one independent variable in your experiment. You would not be able to draw reliable conclusions from the experiment if you altered more than one experimental condition. The dependent variable is what you measure in the experiment. Unlike the independent variable, an experiment can have more than one dependent variable because variations in the independent variable can have many different effects. For example, you might measure length of leaves and weight of roots to assess the growth of radish plants. Dependent variables can include amounts as well as amount data. Such data cannot be measured but is still useful when you describe and compare it.
when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.
The Independent Variable : It is the ONE thing you plan to be different in the experiment. You decide on what is going to be different BEFORE doing the experiment. Dependent Variable or Outcome Variable : It is the result you compare of measure in the experiment. Controlled Variable : This is the part of the experiment that you DO NOT CHANGE. This is what STAYS THE SAME.
You are either talking about the independent variables or the control group
In a controlled experiment, a researcher manipulates one variable (independent variable) to observe the effect on another variable (dependent variable), while keeping all other variables constant. This allows the researcher to establish a cause-and-effect relationship between the variables being studied. Control groups are used to compare the results with the experimental group.
well a independent variable is usually the one that is manipulated and is the x axis while the dependent is the one that depends on the independent and is the responding variable and the x-axis!A little saying i use is dry mix/dependent,responding,y axis/manipulated variable,independent,x axis.tale the first letter of all of that and you get dry mix.