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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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the independent variable controls the dependent variables

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.

To combine like terms in an algebraic equation, first of all, the variables must be the same. Ex. 2x +3x =5x 2x +3a= not able to do This is because you cannot compare things of two different kinds. Also, you must have the same amount of exponents, or the numbers must be to the same power.

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the independent variable controls the dependent variables

experimental control

indendent variables are pressure added dependent is like a pencil breaking

Experiment controlled

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.

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.

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.

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.

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

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.

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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