Because if you change more than one variable, you won't know which one was responsible for any observed effect, or indeed whether they both had a part in it. The worse case of all would be if they both had an effect but the effects cancelled out.
A variable of an experiment is anything that is changed either deliberately, or as a result of changing something else. An independent variable is one that is changed to obtain a different result. A dependent variable is the thing that changes as a result of changing the independent variable. There is also the controlled variable, or just control, which does not change throughout the experiment. A test or a trial
to observe a 1000year process in just one day
to observe a 1000year process in just one day
Ideally, an experiment should test only one variable (the independent variable) at a time. If you have two or more variables changing at the same time you have no way of knowing which variable is causing your results.
Well a manipulated variable is know to be something that changes throughout the experiment. However if you are trying to determine what happened or changed than YOU just simply figure out if it changed of color, texture, etc.
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!!!
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!!!
The control group stays the same. Your variables will Vary (makes sense). You set up an experiment with independent variables which is the thing that you are changing to see the effect of it on something else. The thing that you are measuring the effect of is the dependent variable, because it depends on the independent variable. You always have a control group. The control is a group that you do nothing to so that you can see if your results are because of the change in the independent variable or if the results just happen by chance or for some other reason.
Because if you change more than one variable, you won't know which one was responsible for any observed effect, or indeed whether they both had a part in it. The worse case of all would be if they both had an effect but the effects cancelled out.lots of times it is just not possible to change only one variable, especially when you are observing rather than experimenting. There are complicated mathematical techniques to try and sort things out when more than one variable is being changed at the same time.
A variable of an experiment is anything that is changed either deliberately, or as a result of changing something else. An independent variable is one that is changed to obtain a different result. A dependent variable is the thing that changes as a result of changing the independent variable. There is also the controlled variable, or just control, which does not change throughout the experiment. A test or a trial
AnswerIt is a variable in an equation that is not dependent on any other variable in the equation. For example, in the equation...y = 3x + 5y is a dependent variable because its value depends on the value of x. The variable x is an independent variable.this dosent even make sense that much so try to find a diffrent one thank you..note: bye the way this is correct and i am going the wrong way i said it dosent make that much sense and yeah it does do just belive that this makes sense sorry about that and just forget that note at the top it is very very wrong ...AN independent variable is the variable that the experimentor changes.An independent variable is an input value that one can vary to obtain an output value which is dependent variable.For example in equation y = 3x then x is independent input variable that produces an output y where y is the dependent variable, that depends on the value of x
Because they need to know if it/they are going to survive or destroy or just to see what happens to it.
to observe a 1000year process in just one day
to observe a 1000year process in just one day
Ideally, an experiment should test only one variable (the independent variable) at a time. If you have two or more variables changing at the same time you have no way of knowing which variable is causing your results.
Temperature can be both an independent variable, where it is manipulated to observe its effect on other variables, or a dependent variable, where it is measured as an outcome of other factors. The role of temperature as a dependent variable or independent variable depends on the specific research context.
Because if you change more than one variable, you won't know which one was responsible for any observed effect, or indeed whether they both had a part in it. The worse case of all would be if they both had an effect but the effects cancelled out.lots of times it is just not possible to change only one variable, especially when you are observing rather than experimenting. There are complicated mathematical techniques to try and sort things out when more than one variable is being changed at the same time.