a variable changes a rule doesnt.
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you cant because variables cant go ou its agaist the rules
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.
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!
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.
Use the same rules inside brackets as you would outside of brackets. There is no difference between the two.