In general yes. But it really depends on the experiment. If you want to know if it hurts to punch a wall, you don't need an independent variable (unless you want to compare the magnitudes of the pain). But for school experiments, most of the time, if not all of the time. Yes.
yes but often there are more than two variables. the controlled variables are factors that need to be the same each time you preform your experiment to make the experiment's result correct.
for example, if your experimenting with absorbency of paper towels, then some variables you would need to control would be:
- the amount of water you start with
- the size of each paper towel
- if the surface is dried or not before you experiment
- where you experiment (inside\outside because if you experiment outside then the sun might absorb some of the water before you experiment)
- and many more
No because if too many things change then the experiment will not be valid. So therefore, no a experiment cannot have more than one independent variable.
One!
Yes
1
There are 3 different variable. The independent variable is what you will be changing in the experiment and there should only be one. The dependent variable is what you will be measuring or observing. The controlled variable is what you will be keeping the same and there can be more than one. There is no limit on how many controlled variables you can have.
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... ;)
Yes you can, but the more variables you have the more complex the problem becomes.
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
An experiment is based on controlling the environment, reactants, and conditions under which the procedures are carried out. If other externalities (variables) are not accounted for the experiment will be subject to sources of error. If a single variable is held constant than the test will be more accurate and replicable.
It is easier to control independent variables
In most real life cases, limiting an experiment to only one independent variable makes the whole experiment a waste of time. More often than not there are several independent variables.
Because if you have none, there is no point in doing the experiment. If you have more than one you will have interactions between the independent variables but, with a good experimental design, these can be estimated so there is no reason to use independent variables one at a time.
There are 3 different variable. The independent variable is what you will be changing in the experiment and there should only be one. The dependent variable is what you will be measuring or observing. The controlled variable is what you will be keeping the same and there can be more than one. There is no limit on how many controlled variables you can have.
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.
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... ;)
Yes you can, but the more variables you have the more complex the problem becomes.
Controls are the things you leave the same when you do an experiment. Variables are the things you affect in an experiment to see if it makes a difference. It depends on the experiment how you would "control" the 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
An experiment is based on controlling the environment, reactants, and conditions under which the procedures are carried out. If other externalities (variables) are not accounted for the experiment will be subject to sources of error. If a single variable is held constant than the test will be more accurate and replicable.
A controlled experiment is an experiment where there are limited or no variables other than the one you are testing for.
A valid one. An experiment cannot conclusively prove anything if more than one independent variable is altered at a time. That being said, many dependent variables could show change and the experiment would still be valid, as long as only one independent variable was altered at a time. An experiment that changes only one variable at a time is called a controlled experiment.