There are no following principles listed in the question.
different kind experiment data present bar graph
The control group.
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
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 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.
A control sample is the experiment under regular conditions. An experimental sample is the experiment in which different variables are changed.
Replication
experimental and control
The control group does not change, while the experimental group is the variable you are changing.
different kind experiment data present bar graph
The theoretical model does not accurately reflect the experiment.
The control group.
There are two different types of groups in the experiment, a control group and a experimental group
Yes
The experimental probability of anything cannot be answered without doing it, because that is what experimental probability is - the probability that results from conducting an experiment, a posteri. This is different than theoretical probability, which can be computed a priori. For instance, the theoretical probability of rolling a 3 is 1 in 6, or about 0.1667, but the experimental probability changes every time you run the experiment
so that you can figure out if it is not basis. To account for any experimental error that may crept in during that investigation. Basically, unknown experimental error, including biases, are best "controlled for" by having a different group repeat the experiment under "similar" conditions.
an control group is when an experiment is conducted for the purpose of determining the effect of a single variable of interest on a particular system.