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What are two important variables you must control to make the experiment work?
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What is the scientific term for the things you make sure don't change during a experiment?
I assume the term for something that is not changed during an experiment is called, the control. Any changes observed in the experiment, can be compare to the control, which is still be in the original form before the experiment began.
Why is Acid important?
acid is important because we make an experiment about acid we should know what it mean.
What is the term for the answers provided by an experiment?
"Data" is the numerical results provided by the experiment. "Conclusion" is the deduction we make from the experiment, whether it's a verification of an equation, or a theory, or anything else.
What was the name of the experiment?
make a burst of colors in a tray of milk
What you add to an experiment to make a change?
The independent or manipulated variable.
What are control variables important in experimenting?
the reason it is important to controll the variables in an experiment is because if the variables are not controlled in an experiment it will be impossible to reproduce the experiment. which also will make it impossible to prove the theory being tested
Why is it so important to control variables in an experiment?
You need to control variables in an experiment so as to make sure that only the variable you are testing and changing is the one affecting the results of your experiment. For example, in an experiment to find the effect of light intensity on the rate of photosynthesis of plant, you'll change light by putting a plant in sun and another in dark but you must not change carbon dioxide level for both plants so by that you have controlled other variables in the experiment(variables which must be the same always in the experiment).
Why is a controlled experiment important to science?
A controlled experiment means that you try to keep all the variables that are involved in the experiment under control apart from the Dependent and the Independent variables to make sure that any results obtained from the experiment have been affected by the independent variable and not some other extraneous variable. It also ensures that the experiment would have high validity. That is, if the experiment has really measured what it was supposed to measure.
Why do scientists try to control most variables in an experiment or observational study?
To make "the most correctable solution"
How many variables can you have in a scientific experiment?
Just one. Otherwise your margin of error will be too big. Make sure to have a control variable while your at it though.
Why is it important to control variables in a experiment?
You can do this at home if you want to It is very important to control variables in an experiment because if just one small detail is overlooked, it can end up in a result that is way different from the correct result. Say you had a beaker of a liquid that you were supposed to boil in an experiment to make sure it's completely gone, but you only brought it up to a temperature that allowed a little bit of the contents of the beaker to remain. Then, if you used it in another part of the experiment, it could cause a reaction that is completely far from the reaction that would occur if you had done so the right way.
Definitions of the 3 types of variables in doing an experiment?
The three variable in an experiment are independent, dependent, and controlled. The independent is the variable you control, the dependent is the variable that will change according to the independent. The control is kept constant so they do not affect the dependent.
How do you know that a variable is really a control variable and what is the property of control variables?
If you're performing an experiment in which your result depends on multiple variables, but you're just interested in how one of those variables effects the result, you would generally keep all of the other variables constant in order to negate their effects. Those variables that you're keeping constant are called control variables, and you would choose them based on the experiment. For example, say you wanted to determine how changes in resistance effect a circuit's current. Well, current is dependent on not only resistance, but voltage as well, and since you're only interested in the effects of resistance, you would make voltage the control variable, keeping it constant.
The difference between the independent and dependent variables?
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
When you make a conclusion about an experiment what do you need to concider?
You need to consider the results, your hypothesis, and the variables and controls used throughout the experiment.
Why is it important to identify as much variables as possible in an experiment?
Accounting for errors in an experiment will determine the validity and reliability to the experiment. This, in turn, will either support the experimental results by accepting the null hypothesis or to discard the experimental results by rejecting the null hypothesis
Why is a control especially important in biological investigations?
There are three types of variables in a scientific experiment: Independent: Changes which you, the experimenter, control. Dependent: Changes which occur based on the changes you make (Independent) Control: Anything else which might change or influence the dependent variables outside of the independent changes made by the experimenter. Control variables must be monitored and controlled during an experiment to make sure that they are kept equal, otherwise they could make your results false or unreliable. In the Cool Science Projects link, they discuss a plant growing project. You wish to determine the growth difference between plants which have a full eight hours of sunlight versus plants which receive four hours of sunlight. The amount of time the plant is in the full sunlight is the independent variable and one of the dependent variables is the growth rate of each plant. There may be other dependent variables, such as the overall height of each plant. A good example of a control variable might be the amount or type of water used to hydrate the plants during the experiment. If you were to give one plant more water than another, or different qualities of water, you would be further influencing the experiment beyond the initial independent variable. You could not then say that it was strictly the duration of time in the sun which caused the growth or height differential, as it may have been other variables which caused these changes. It's important to be aware of exactly what changed within an experiment, and what did not, in order to keep your findings valid.
