In general it's better to only change one variable at a time. This may not be practical depending on exactly what you're working on. Astronomers, for example, can't just go change a star's mass and see what happens; they have to work with the data they can get. Dealing with more than one variable complicates matters, but may be possible if you've got a good grasp on the underlying theory (or at least a good working hypothesis) and take enough measurements; you'll wind up solving a system of simultaneous equations, which is a lot more complicated.
The factor in an experiment that responds to the manipulated variable
because you can focus more on the only variable you need in an expirement and get the results accuratly
The outcome of the experiment may not be linked to any one specific variable.
in an experiment we usually make two or more set ups. the first set up where all the conditions are normal is known as the control. the rest of the set ups which may have different conditions is called as the variable set up.example:suppose we are performing an experiment to check the growth of plants in absence of carbon dioxide.The control will have carbon dioxide (normal condition).the variable will not have carbon dioxide.this is done for a comparison between normal and abnormal conditions.Thank you.
The variable of the experiment that is being tested or the part that is changed by the person doing the experiment is called the independent variable... Thank you for letting me answer goodbye... ;)
A dependent variable is a factor in an experiment that is influenced by another factor. An example might help to clarify. You are performing an experiment in which you are observing how sunlight affects plant height. Plant height is the dependent variable because it is dependent upon how much sunlight the plant receives. Sunlight is an example of an independent variable. It is not influenced by anything in this experiment, but may be changed to observe its effect on the dependent variable. It is possible to have more than one dependent variable in an experiment, but only one independent variable.
If you change more that one variable in an experiment, then when the result occurs, you won't know which variable caused the change.
Because you can't be sure what about the variable is changing or how it changes. The different factors of the variable can also change the experiment in different ways, therefore making the experiment more complicated.
Dependent Variable
The factor in an experiment that responds to the manipulated variable
because you can focus more on the only variable you need in an expirement and get the results accuratly
The outcome of the experiment may not be linked to any one specific variable.
in an experiment we usually make two or more set ups. the first set up where all the conditions are normal is known as the control. the rest of the set ups which may have different conditions is called as the variable set up.example:suppose we are performing an experiment to check the growth of plants in absence of carbon dioxide.The control will have carbon dioxide (normal condition).the variable will not have carbon dioxide.this is done for a comparison between normal and abnormal conditions.Thank you.
The variable of the experiment that is being tested or the part that is changed by the person doing the experiment is called the independent variable... Thank you for letting me answer goodbye... ;)
Independent, it is in the name, more variables are: dependant variable- the one you keep the same control variable- mearsuring variable
Hello, Well what you would be looking for is what an independent variable means. Assuming you understand what a variable is and a dependant variable is, here goes: An independant variable is the variable which you change in an experiment. Note you can only have 1 variable that can change in an experiment and more than one independent variable will result in an unfair experiment. An example is an experiment looking at the growth of trees in the Dark, in a dimly lit room and in the direct sun. The independant variable is the location of the experiment, because this is what is being changed. Simply: The Independent Variable is the variable that is independent and you change. The dependant variable is what changes when the independent variable changes. To conduct an experiment, you will have an independent variable and change that to see how the dependant variable changes with the independent one. Hope I Helped
It really depends on what the experiment is.