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12y ago

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Related Questions

What are the three variables in a scientific experiment?

There are 2 variables and they are independent and dependant.


2 types of variables?

Qualitative and quanitative are two types of variables.


How come you can't use 2 manipulated variables in an experiment?

there is only one manipulated varable in an experiment otherwise it would not be a controlled experiment


How many variables does a scientist change in an experiment?

2


How many variables should you have to change in an experiment?

2


How many variables are tested in any controlled experiment?

2


In a properly designed experiment how many mainpulated responding and controlled variables should you have why?

In a properly designed experiment, it is important to have at least 2 controlled variables. With two variables you are able to remove one at a time and see the effect in your setup.


Why using 2 manipulated variables in an experiment would not be wise explain?

Well, when something changes, you would not know which variable caused the change in the experiment.


What have you learned about variables?

1) I learned that you can have as many variables as you want. 2) You can change the variables. 3) Variables is used in an experiment. 4) A variable is something that can be changed, such as a characteristic or value. Variables are generally used in Psychology experiments to determine if changes to one thing result in changes to another.


How many variables can be tested in an experiment?

1


Definitions of the 3 types of variables in doing an experiment?

The three variable in an experiment are independent, dependent, and controlled. The independent is the variable you control, the dependent is the variable that will change according to the independent. The control is kept constant so they do not affect the dependent.


What is the purpose of controlled variables in an experiments?

The purpose of a control variable in an experiment is to allow the experiment to come out with accurate results. It makes it a lot easier to measure the results when different things aren't affecting it.