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The test variable (independent variable) controls the outcome variable (dependent variable).

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Q: How do the test variables (independent variables) and outcome variables (dependent variables) in an experiment compare?
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Related questions

How do the independent and dependent variables in an experiment compare?

the independent variable controls the dependent variables


What is used in a way to compare values for dependent variables in many experiment?

experimental control


Compare dependent variable and independent variable?

indendent variables are pressure added dependent is like a pencil breaking


Which term describes a type of independent variable used to compare difference and dependent?

Experiment controlled


Compare an independent variable with a dependent variable?

Independent variable is what you change in the experiment group. Dependent variable is what happens because of the independent variable. It has to be measurable in degrees, inches, or other such measurements.


What is the variable part of an experiment that is being tested or the part that is changes by the person doing the experiment?

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.


What variable is the part of an experiment that is being tested or the part that is changed by the person doing the experiment?

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 is a bar graph useful?

when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.


What variables do you need to control in your experiment?

It depends on the experiment. The independent variable is what you "control" (change around) so as to produce different results from the dependent variable. Experiments must also have a control variable, or one that remains unaffected throughout the experiment, so that you can have something to compare your other results to.


What do we call the parts of an experiment that remain the same so that you can compare the results of the other tests?

You are either talking about the independent variables or the control group


What is the purpose of having a control in an experiment?

Having a control in an experiment allows you to see what happens when no variables are changed. If you do not have a control, you do not have anything to compare your results with after changing variables of the experiment.


What is purpose of having a control in a experiment?

Having a control in an experiment allows you to see what happens when no variables are changed. If you do not have a control, you do not have anything to compare your results with after changing variables of the experiment.

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