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It is called the x-variable. It can be the independent variable but there may be no independent variable.
This is the variable which changes as a result of what you change in the experiment. If you change the height from which you drop a ball, you may observe the height to which it bounces. The height of the bounce is the outcome variable.
Dependant Veriable. :)
Well in the case that it does have a variable, even just one, it would still be a variable experiment because that one part of the experiment may still cause a different effect/result when changed!!!
Uniform acceleration simply means that the acceleration doesn't change over time. Variable acceleration may change over time. For practical purposes, problems with uniform acceleration (such as the one provided by gravity, near the Earth's surface) are much easier to calculate. Variable acceleration requires integration, which isn't taught in high school, but may appear at college if you study in a career in engineering.
'Variables' are any factors that can be controlled, changed or measured. There are two types: the independent variable and the dependent variable. The independent variable is the condition that you change and the dependent variable is what you are observing. So if you are trying to measure the effect of water on plant growth the water would be the independent variable and the plant growth would be the dependent variable.
An independent variable is something that you, as the experementer, change to try and get a set of results. E.g, in an electrical ciurcut you may change the voltage to see how it affects resistance. Voltage is the independent variable as your changing it, resistance is the dependant variable as it changes due to the change in the independent variable.
Yes The independent variable is also known as the manipulated variable. In an experiment where you need to test different objects, the independent variable would be the different objects.
The dependent variable MAY change, but it need not.
Age can be both an independent variable or a dependent variable, depending on the context of the study. In some cases, age may be manipulated or controlled by the researcher and therefore considered an independent variable. In other cases, age may be measured or observed as a factor that potentially influences other variables, making it a dependent variable.
Independent variable is what you, the experimenter, change or enacts in order to do your experiment
The dependent variable may change in response to the manipulated variable.
In an experiment, the condition manipulated by a biologist is known as the independent variable. The condition that changes based upon how the independent variable was manipulated is known as the dependent variable.
The relationship is a matter of cause and effect. An independent variable is given as one upon which another variable depends. So, for example, if you heat a metal pipe, the pipe expands. The amount of expansion is dependent upon the amount of heating that occurs, so expansion is the dependent variable, and the heating, which you may or may not control, is the independent variable. All it means is that if the independent variable ungoes a change, there is an associated and predictable change in the dependent variable. The two are linked inextricably, but one is cause, the other is effect, or to put it another way, you control the change in the dependent variable with input into the independent variable, but it doesn't normally work the other way around.
Since y depends on x and x is the independent variable, y has to be the dependent variable. That means that y always changes because of x.
It is called the x-variable. It can be the independent variable but there may be no independent variable.
Not necessarily. The independent variable may have no effect at all.