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Yes you can, but the more variables you have the more complex the problem becomes.
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.
an experiment
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.
The number of dependent variables in an experiment varies, but there is often more than one. experiments also have controlled variables are quantities that a scientist wants to remain constant, and he must be observe them as carefully as the dependent variables.
You need to control the variables because if you have two or more variables in an experiment you will never know which variable caused a change or not caused a change.
It depends on what kind of experiment you are performing, an experiment can never be entirely accurate but the more times you perform them, the more of an accurate result you will get.Answer:An experiment in a school lab is more correctly a demonstration. The errors are caused by unfamiliarity with the equipment, methods, or recording of results.In a research laboratory an experiment is reaching into new areas. The potential variables are not all known. Lack of the control of these variables can cause error in the results.
Yes you can, but the more variables you have the more complex the problem becomes.
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.
an experiment
x = 2 y = 4 x + y = 6 change the variables x = 4 y = 4 x + y = 8 Take 1 kg of TNT and it will be a good sized bang. Take 1 ton of TNT and it will level a city block.
To be valid, an experiment must not include bias, confounding variables, or unreliable measures in order to accurately assess the cause-and-effect relationship between variables.
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.
An experiment allows for the researcher to manipulate variables and establish cause-and-effect relationships more effectively than an observational study. This control helps to minimize confounding variables and biases, making the results more reliable. Additionally, experiments often involve random assignment, which enhances the ability to draw conclusions about the relationships being studied.
The number of dependent variables in an experiment varies, but there is often more than one. experiments also have controlled variables are quantities that a scientist wants to remain constant, and he must be observe them as carefully as the dependent variables.
An experiment is called a controlled study because it involves manipulating variables under controlled conditions to isolate the effects of those variables on the outcome or results. By controlling other factors that could influence the results, researchers can more accurately determine the impact of the variables they are studying.
The only way to minimize random error is to repeat the experiment more times to get a better average. This means your result is accurate but not percise