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'''Exogenous''' (or exogeneous) (from the [[wiki/Greek language|Greek]] words "exo" and "genis", meaning "outside" and "generated") refers to an action or object coming from outside a system. It is the opposite of [[wiki/Endogenous|endogenous]], something generated from within the system.

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Q: What is the difference between exogenous and enodgenous variables?
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What are the Difference between endogenous and exogenous variables?

Endogenous variables are important in econometrics and economic modeling because they show whether a variable causes a particular effect. Economists employ causal modeling to explain outcomes (dependent variables) based on a variety of factors (independent variables), and to determine to which extent a result can be attributed to an endogenous or exogenous cause.


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.