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Only one at a time, since you would not know which variable(s) made the observed changes. You would need to measure each change separately. But if you want to test multiple variables, then you would need to test every possible permutation. If you want to test two chemicals, then you should test your control (a placebo using neither substance), substance A, substance B, and both substances.
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Define a fair test?
A fair test has many differences from an unfair test. For example, a fair test is where if you have studied, there would be question-related to what you have gone through like if you are learning density, you would learn how to calculate it. But if the questions are unrelated to your research or what you have been tasked/ assigned, then that would be unfair and therefor wrong.
What is fair testing in science?
Fair testing is when you test something with many variables, but you must change one variable. e.g. testing the different types ofdrinking water. [Tap water, hose water, etc.
What is a controlled variable in a science fair project?
It is the variables you will not change to keep the experiment a fair test, they should be kept constant to show how your independent variable affects your dependant variable.
What is a fair test?
A fair test is the goal of many an enquiry. A test should not be biassed by the selection of subject, by the test method itself, nor by the method of analysis.
What does it mean by a fair test?
Any test administered at a fair, such as a County or State fair can be described as a Fair Test.
What type of experiment is it when one variable is changed while the other variables are controlled?
its called a fair test. :)
What is fair test?
A fair test is when you test something equally changing the variables but keeping everything else the same
How many independent variables should an investigation have?
There can only be one independent and one dependent variable. All other variables should be classed as control variables and must be kept constant to achieve a fair test.
What is the word for the one variable that is purposely changed to test a hypothesis?
The independent variable is the one that is changed by the scientist.Control variables are kept unchanged in an experiment.Dependant variables are those that change as a result of the independent variable being changed.
Define a fair test?
A fair test has many differences from an unfair test. For example, a fair test is where if you have studied, there would be question-related to what you have gone through like if you are learning density, you would learn how to calculate it. But if the questions are unrelated to your research or what you have been tasked/ assigned, then that would be unfair and therefor wrong.
What is fair testing in science?
Fair testing is when you test something with many variables, but you must change one variable. e.g. testing the different types ofdrinking water. [Tap water, hose water, etc.
How many variables can you test in an experiment?
one
When a experiment only has one variable that can change and all other variables are kept unchanged this type of experiment is an?
it is a fair test
Which variable is the one variable that is purposley changed to test a hypothesis?
The independent variable is the one that is purposely changed to test a hypothesis.There are 3 kinds of variables in a scientific experiment: independent, dependent, and controlled.
What is a controlled variable in a science fair project?
It is the variables you will not change to keep the experiment a fair test, they should be kept constant to show how your independent variable affects your dependant variable.
What is it called when a scientist is conducting an experiment and and it has factors that can affect the results?
If they are supposed to affect the results in the experiment ie. they are what is being tested, they are the test variables. If they must be kept the same to ensure a fair test ie. the scientist is not testing with them, they are called control variables.
What is a fair test?
A fair test is the goal of many an enquiry. A test should not be biassed by the selection of subject, by the test method itself, nor by the method of analysis.
