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When is an experimental variable good and when should it be reduced or eliminated?
There are generally 3 variable in an experiment : the dependent, independent and the control variable. The independent variable is something you change in your experiment and affects the dependent variable, while the control variable is there to make sure the experiment is a fair test. (eliminate external factors) A variable is considered good when it allows you to find a relationship or to investigate your theory. eg. A simple experiment : To investigate whether length of pendulum affects the period of a pendulum. IN this case, your independent variable would be the length of pendulum(to be changed) while your dependent variable is the time taken for 1 oscillation. You can plot x-y graphs to find the relationship between the two to help you conclude your experiment. ( Wind factor should be eliminated as it will affect your readings). There is no control variable for this experiment as period is dependent only on length and gravity.(unless gravitational force changes) There are times when a variable can be affected by many other factors. So in your experiment, you might want to eliminate those factor so that you can make a conclusion.
Who is group that is exposed to the variable to be tested is called the?
Experiments typically involve:1) Experimental group: the group of subjects exposed to the variable being tested.2) Control group: should be as identical as possible to the experimental group, but is deliberately not exposed to the experimental variable - this provides a baseline measure from which the effect of the variable can be determined.
In an experiment the group that is exposed to the variable to be tested is called the?
control group
What is control set-up?
Control Set-up is the one which does not contain any independent variable and is the basis by which the experimental result should be evaluated.
When is an experimental variable good?
A experimental variable is good when you are trying to test an experiment. A variable may be easily controlled, isolated, and measured. For instance a difficult experimental variable may be a persons gender. You can control if a man or woman participates in your experiment, you may even easily identify which gender they are. But it may be difficult to determine if the results are due to inherent genetic differences, or social influence on their lives. that isn't to say it can't be used, it just is more complicated than a "good" variable. A good variable could be something like Height, eye color, etc. that don't have that confounding aspect. In summary - The primary variable should be controllable, where you can directly manipulate it. The more controllable, the better. The variable you measure, and the one you control, should be isolated. You should be able to distinguish it from other complicating factors. The variable should be measurable. Some things are easy, such as height. Others not so easy, such as pain, or opinion. Developing tools to measure such variables are key.
When is an experimental variable good and when should it be reduced or eliminated?
There are generally 3 variable in an experiment : the dependent, independent and the control variable. The independent variable is something you change in your experiment and affects the dependent variable, while the control variable is there to make sure the experiment is a fair test. (eliminate external factors) A variable is considered good when it allows you to find a relationship or to investigate your theory. eg. A simple experiment : To investigate whether length of pendulum affects the period of a pendulum. IN this case, your independent variable would be the length of pendulum(to be changed) while your dependent variable is the time taken for 1 oscillation. You can plot x-y graphs to find the relationship between the two to help you conclude your experiment. ( Wind factor should be eliminated as it will affect your readings). There is no control variable for this experiment as period is dependent only on length and gravity.(unless gravitational force changes) There are times when a variable can be affected by many other factors. So in your experiment, you might want to eliminate those factor so that you can make a conclusion.
Who is group that is exposed to the variable to be tested is called the?
Experiments typically involve:1) Experimental group: the group of subjects exposed to the variable being tested.2) Control group: should be as identical as possible to the experimental group, but is deliberately not exposed to the experimental variable - this provides a baseline measure from which the effect of the variable can be determined.
In an experiment the group that is exposed to the variable to be tested is called the?
control group
What is the only thing that should differ between experimental treatments?
The only thing that should differ between experimental treatments is the variable being tested, also known as the independent variable. All other factors should be kept constant to ensure that any observed effects can be attributed solely to the variable being tested.
What is the only thing that should differ experimental treatments?
independent variable
How do you use experimental variable in a sentence?
Scientists try to control for experimental bias.An experimental bias often goes unrecognized if the student does not carefully consider sources of potential biases.A desire for a specific outcome is an experimental bias.
How many experimental variables should you have?
It is recommended to only have one experimental variable in a scientific study to properly isolate its effects and draw valid conclusions. Multiple variables can complicate the results and make it difficult to determine which variable is responsible for the observed effects.
What is control set-up?
Control Set-up is the one which does not contain any independent variable and is the basis by which the experimental result should be evaluated.
What is controlled set up?
Control Set-up is the one which does not contain any independent variable and is the basis by which the experimental result should be evaluated.
What is the only that that should differ between experimental treatment?
independent variable
When is an experimental variable good?
A experimental variable is good when you are trying to test an experiment. A variable may be easily controlled, isolated, and measured. For instance a difficult experimental variable may be a persons gender. You can control if a man or woman participates in your experiment, you may even easily identify which gender they are. But it may be difficult to determine if the results are due to inherent genetic differences, or social influence on their lives. that isn't to say it can't be used, it just is more complicated than a "good" variable. A good variable could be something like Height, eye color, etc. that don't have that confounding aspect. In summary - The primary variable should be controllable, where you can directly manipulate it. The more controllable, the better. The variable you measure, and the one you control, should be isolated. You should be able to distinguish it from other complicating factors. The variable should be measurable. Some things are easy, such as height. Others not so easy, such as pain, or opinion. Developing tools to measure such variables are key.
Reasons why middle men should be eliminated?
why should middle men be eliminated
