A variable in a component to an scientific investigation in which the influence of its changing values and states are measured and recorded throughout the experiment. In other words a variable changes from trial to trial while a control stays the same throughout the experiment... If you are measuring the effect of light bulb wattage on plant growth then the number of watts would be the variable because one plant has 50w, another has 60w, and another has 100w. The controls would be that they all are the same distance away from the light bulb. Or that they are all the same type of plant. etc...
Tremendous is a subjective and relative word. In most contexts where data will be statistically analyzed, the differencegenerated has to be greater than that produced by a randomized model, within a certain pre-determined tolerance, usually 5%. In other words, I ask the question: In a theoretical randomized experiment, would I get the results I actually obtained 5% of the time or less? If so, I can report significant results where p is less than or equal to 5 percent. There are some technical things you have to be careful about, like one-tailed or two-tailed tests, and other kinds of technical assumptions. These randomized results are built into various tables that can be used to perform the necessary tests; you don't have to actually do randomized trials. They are based on computer generated models. Depending on the research, an absolute research value may not seem to be very different from 'average', and still be quite significant; it depends only on how frequently your value would appear in the random model. Significance shouldn't be confused with correlation (Pearson's r, for example). For a correlation to have any kind of predictive strength (regression) the correlations have to be much stronger than 'significant'.
the difference is that variables have to do with science and controls are to switch channels on tv <-- guys an ass.
The independent variable is changed by the experimenter so that the results can be compared to the control, which does not change. Any differences between the control and experimental group are due to the independent variable. cw: As written, you don't.
It is a control variable.
Control Variable
Your question is wonderful .... But we are not intelligent enough to answer it ....
The variable in an experiment that remains the same is known as the control.
what is the difference between a variable and a control
The difference between a controlled variable and a variable is in their state. A controlled variable is something which is rigid and constant while a variable is liable to change and inconsistent.
The difference between these both is that the control is what stays the same in an experiment and the variable is what changes.
control is when nothing is done to the experiment and controlled variable is that you have control over the experiment.
A control is the standard to which an outcome of an experiment is compared, but a variable is something in an experiment that can change.
a control is a object that cant be changed in an experiment and a variable is a object that can be changed in a expirament
Control Variable = kept in constant in a experiment Experimental Variable = changes in a experiment
In a controlled experiment, the control variable remains constant while the experimental variable changes with each trial of the experiment.
In a controlled experiment, the control variable remains constant while the experimental variable changes with each trial of the experiment.
In a controlled experiment, the control variable remains constant while the experimental variable changes with each trial of the experiment.
The control variable is the thing you keep the same and is everything that is not the independent variable. The Control Setup is there for the sake of comparison.
vav is volume control damper.. vav is variable air volume..