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Extraneous variable a.k.a. Confounding vaiable is a variable that affects an independent variable n also afects a dependent variable at d same time confounding relatnship btn the independent and dependent variable. Mediating variable a.k.a. Intervening variable, it is a variable forming a link btn two variables that are causualy conected.
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What is the difference between correlation and experiment?
An experiment is when the researcher manipulates the independent variable and records its effect on the dependent variable whilst maintaining strict control over any extraneous variables. A correlation is a statistical relationship between two or more variables. The researcher makes a change in one of the variables to see what is affected.
What is the difference between variables and rules?
a variable changes a rule doesnt.
What is the difference between internal and external validity?
The difference between internal and external validity is in their nature. Internal validity indicates if a study depicts relation between two variables. External validity on the other hand generalizes the study of the variables.
What is the difference between manipulated variables and controlled variables?
They are the same. These are names for the variables in an experiment that are controlled by the experimenter, as opposed to the output variables, the results you collect at the end of the experiment Hope this helped!
The usual sampling distributionof the difference between means is a what?
There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.
