If a researcher fails to control the relevant variables in an experiment, you could end up changing a bunch of different variables in an experiment, and you wouldn't be able to tell which variable is responsible for the results of the experiment.
If the experimental results are dependent upon factors that were either not monitored and controlled, or were uncontrollable, then the results are a (generally) random selection from the possible results that could have been measured.
If someone else attempted to verify the same results, the two independent results may not appear to agree as they would vary by an unmeasured or uncontrolled property.
You can get what's called an interaction effect. That is, your outcome is dependent on the interaction between the two variable. The most simple example of this is, say, you were measuring the area of a rectangle by varying the length of both sides. If you varied only one side and measured the area, you'd get a linear response, and the slope of your response vs length chart would be the length of the other side. But if you varied both sides together, you would get something different and non-linear. How the area depends on the length of both sides would not be clear.
Your conclusions won't be accurate because you wont know which change made the different result.
Patrick Kuwong
Y9 DISAS
If you change more than one variable in an experiment, then you won't know which change made the difference in the result.
You will not be able to determine which caused what.
You get a boner
You can have more than one variable, but it would take longer to solve.
The outcome of the experiment may not be linked to any one specific variable.
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... ;)
The factor in an experiment that responds to the manipulated variable
A manipulative or manipulated variable in an experiment is the variable that can be varied to give different results during the course of an experiment. For example to determine how much sugar will saturate a liter of water, we keep increasing the amount of sugar until the water becomes saturated. Here sugar is the manipulated variable. Very easy! At first, I was confused with it too!
Dependent Variable
Independent, it is in the name, more variables are: dependant variable- the one you keep the same control variable- mearsuring variable
You can have more than one variable, but it would take longer to solve.
The outcome of the experiment may not be linked to any one specific variable.
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... ;)
The variable that is being changed in the experiment is called the independent variable. The variable being tested is called the dependent variable. The constant is the one thing in the experiment that stays the same
The factor in an experiment that responds to the manipulated variable
Because you want to see how the experimental results change due to only that one variable change. If you used two variables, and the results varied, how would you know which variable contributed more to the change if at all? It can be done this way, but one variable at a time will allow you to make sense of your data much more efficiently.
A manipulative or manipulated variable in an experiment is the variable that can be varied to give different results during the course of an experiment. For example to determine how much sugar will saturate a liter of water, we keep increasing the amount of sugar until the water becomes saturated. Here sugar is the manipulated variable. Very easy! At first, I was confused with it too!
According to the scientific method, any scientific experiment must be done at least 3 times. Also, only one variable can be changed in an experiment (the independent variable). Any more changes will will ruin your dependent variable (your results) and make your data unreliable. If your experiment fails, learn from it, redo the experiment, and change another 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
There are three kinds of variables in an experiment. The independent variable is what you change in the experiment. It is important that you have only one independent variable in your experiment. You would not be able to draw reliable conclusions from the experiment if you altered more than one experimental condition. The dependent variable is what you measure in the experiment. Unlike the independent variable, an experiment can have more than one dependent variable because variations in the independent variable can have many different effects. For example, you might measure length of leaves and weight of roots to assess the growth of radish plants. Dependent variables can include amounts as well as amount data. Such data cannot be measured but is still useful when you describe and compare it.