It is a variable. The independent (manipulated) variable is the factor that is different between the control and experimental groups. The dependent variable is the difference resulting from the independent variable. The controlled variables are the factors that are not changed in the experiment between the control and experimental groups.
The variables that must remain the same between the control group and experimental group is are called controlled variables, and include everything except the experimental variable.
In an experiment, having more control groups than experimental groups is not a strict requirement; rather, it depends on the specific research question and design. Control groups serve as a baseline to compare the effects of the experimental conditions, so having multiple control groups can help account for variability and confounding factors. However, too many control groups may complicate the analysis and interpretation of results. The key is to balance the number of control and experimental groups to effectively address the research hypothesis while maintaining clarity in the findings.
control groups are those which you keep constant you don't do anything to them and experimental groups are the ones which you are adding something to it to see what happens
A factor that is kept the same between the control and experimental groups is called
variables
It is a variable. The independent (manipulated) variable is the factor that is different between the control and experimental groups. The dependent variable is the difference resulting from the independent variable. The controlled variables are the factors that are not changed in the experiment between the control and experimental groups.
The variables that must remain the same between the control group and experimental group is are called controlled variables, and include everything except the experimental variable.
In an ideal experimental design, the control and experimental groups are designed to be as similar as possible, with the only difference being the specific treatment or intervention that the experimental group receives. This helps to isolate the effect of the treatment and minimize the impact of other variables on the outcome of the study.
In an experiment, having more control groups than experimental groups is not a strict requirement; rather, it depends on the specific research question and design. Control groups serve as a baseline to compare the effects of the experimental conditions, so having multiple control groups can help account for variability and confounding factors. However, too many control groups may complicate the analysis and interpretation of results. The key is to balance the number of control and experimental groups to effectively address the research hypothesis while maintaining clarity in the findings.
Independent variables. If the treatment has no effect , the dependent variables for both the control and experimental group may be the same. cw: In some studies, there is no specific control group. For instance, in a drug study where subjects are given a random amount of the drug (from 0 up to some presumed safe level) then you cannot easily tell what the "experimental" group is -- you can't compare everyone else to the two subjects who got a placebo (0 mg/kg). You can tell whether the treatment is having a linear effect, etc.
control groups are those which you keep constant you don't do anything to them and experimental groups are the ones which you are adding something to it to see what happens
A factor that is kept the same between the control and experimental groups is called
In an experimental design comparing two groups in which one group gets one treatment and another group gets a second treatment, the experimental group is the group with the "different" treatment. The control is the "usual" treatment; the experimental group gets the "new" treatment. Of course, things get complicated with more complicated "experiments."
it is the groups in experiment
Variables that should remain the same in an experiment to have a fair test of the independent variable are called control variables. These include factors such as temperature, time of day, equipment used, and method of measurement. By keeping these control variables constant, any observed effects in the experiment can be confidently attributed to changes in the independent variable.
Variables