If you test only one variable then you know that the difference in the experimental and control setup is that one independent variable. If you test more than one you will not know which one made the difference.
If you test more than one variable you don't know which one caused the changes.
It is important to only change one variable at a time when doing an experiment, because if you change more than one, there will be uncertainty as to which one affected the result.
because in certain experiments you need an accurate independent variable so your conulsion could be accurate
Actually, you have two - dependent and independent. But, you only have one variable because otherwise the answer wouldn't be accurate if you had more than one variable.
If you test only one variable then you know that the difference in the experimental and control setup is that one independent variable. If you test more than one you will not know which one made the difference.
If you test only one variable then you know that the difference in the experimental and control setup is that one independent variable. If you test more than one you will not know which one made the difference.
its important to have a manipulative variable so you have at least one variable that will reapond to what you do to it
Because if you change more than one variable at a time, you can't tell which is affecting the results.
If you test more than one variable you don't know which one caused the changes.
It is important to only change one variable at a time when doing an experiment, because if you change more than one, there will be uncertainty as to which one affected the result.
An algebraic equation with only one variable, such as x, has only one variable. It represents a mathematical relationship between that variable and other terms, without introducing additional unknowns.
because in certain experiments you need an accurate independent variable so your conulsion could be accurate
Actually, you have two - dependent and independent. But, you only have one variable because otherwise the answer wouldn't be accurate if you had more than one variable.
An experiment with only one independent variable is called a one-way experiment. This means that the effect on the dependent variable is attributed to changes in only one factor. This design helps to determine the specific impact of that variable on the outcome of interest.
If you change more than one variable at a time, you will not be able to tell which variable is responsible for what change. Scientists need to know exactly which variable caused the observed experimental results.
if you change more than one variable, you will not know which one has had an effect on the experiment. If the outcome changes when one variable is altered, then the change can only be due to the one variable, by logical deduction.