Double blind experiment.
Control
In single blind studies, the experimenter (or observer) is aware of who or what belongs to the control group and the experimental group.In double blind studies, the experimenter is not aware of who/what belongs to which group. This is to eliminate the subjective bias an experimenter may have.
The group that receives the experimental treatment is typically referred to as the experimental group. This group is exposed to the intervention or experimental manipulation being studied. Data from the experimental group is compared to a control group to evaluate the effects of the treatment.
This type of study is known as a double-blind study. It helps to minimize bias by ensuring that neither the experimenter nor the participants can influence the results based on their expectations or knowledge of who is in each group.
The independent variable is changed by the experimenter so that the results can be compared to the control, which does not change. Any differences between the control and experimental group are due to the independent variable. cw: As written, you don't.
When setting up an experimental procedure one prepares a control treatment as well as one or more experimental treatments. At the end of the experiment, if there is no difference between the experimental and control groups the experiment is typically said to be not conclusive. With a typical set-up, this result generally fails to lead to a rejection of the null hypothesis.
experimental control
The variable adjusted by the experimenter is called the independent variable. This is the variable that is purposely manipulated or changed in an experiment to observe its effect on the dependent variable. The independent variable is under the control of the experimenter.
The procedure is called random assignment. It involves randomly assigning participants to either the experimental group or the control group to help ensure that any differences in the groups are due to the treatment being tested and not other factors.
The experimental control is what you compare your experimental data with. Without the control, you can't tell if the variable you are testing is what is causing your results.
Controlling for a variable is the act of deliberately varying the experimental conditions in order to take a single variable into account in the prediction of the outcome variable. Controlling tends to reduce the experimental error. A control is something that does not change in the experiment.
experimental control