That is simply not true.
There are times when a number of factors can have an effect on the outcome of an experiment but it is not possible to conduct the experiment so that only one factor is allowed to vary while all others are controlled. It is far more efficient - in terms of experimental units - to design the experiment so that the interactions between variable factors can be estimated. Experimental design is the subject that deals with the problem of designing efficient schema for dealing with a number of interacting factors. You may wish to look at "Latin square design" and "Greco-Latin squares" as an introduction to design.
False. The control subject (Or control group) should be kept isolated from the variables of the experiment. This group will detemine if changing a variable is better or worse than not changing the variable.
. Constant variables are variables which cannot be changed with the experiment. To remember their name is easy just think about Constance. They are important to an experiment because without all three variables there would be no complete experiment. Also the constant variables are important to an experiment because they help complete the result. Without a constant variable you. Would not be testing correctly
A control setup is something where you know how it will behave. It gives you a reference to measure affect of all other variables.
control group
The answer is the constant variables because they always stay the same.
It is so that the experiment is a fair test. In order to protect the integrity and / or accuracy of the experiment and its results, you have to be able to control all the variables so that you know exactly why something is happening. If you do not control the variables, then one of them could be the reason for the results, and you won't be sure why you got the results you did.
It is so that the experiment is a fair test. In order to protect the integrity and / or accuracy of the experiment and its results, you have to be able to control all the variables so that you know exactly why something is happening. If you do not control the variables, then one of them could be the reason for the results, and you won't be sure why you got the results you did.
It is so that the experiment is a fair test. In order to protect the integrity and / or accuracy of the experiment and its results, you have to be able to control all the variables so that you know exactly why something is happening. If you do not control the variables, then one of them could be the reason for the results, and you won't be sure why you got the results you did.
control group
In programming, variables change all the time. In scientific testing you control variables to determine what other changes occur.
They are all variables (or possibly, vaiables!).
Ideally you control all variables except for the variable of interest.
False. The control subject (Or control group) should be kept isolated from the variables of the experiment. This group will detemine if changing a variable is better or worse than not changing the variable.
When a scientific experiment is carried out in a controlled setting, all variables are kept the same except for the control variable. The control variable is something that is constant and unchanged in an experiment, and is held constant to test the relative impact of independent variables.
When a scientific experiment is carried out in a controlled setting, all variables are kept the same except for the control variable. The control variable is something that is constant and unchanged in an experiment, and is held constant to test the relative impact of independent variables.
When a scientific experiment is carried out in a controlled setting, all variables are kept the same except for the control variable. The control variable is something that is constant and unchanged in an experiment, and is held constant to test the relative impact of independent variables.
When a scientific experiment is carried out in a controlled setting, all variables are kept the same except for the control variable. The control variable is something that is constant and unchanged in an experiment, and is held constant to test the relative impact of independent variables.