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ok then a control group is a group that validates your investigation by saying that it was not a fluke...for example....if it was to see the effects of a drug,...then the control group would carry out the investigation without the drug and therefore no result should be seen.
An independant variable is an experimental variable that you control..ie the amount of the drug taken or time over which it is allowed to act...
the dependant variable is what varies as a result of your experiment....i.e. what you are measuring///
hope this answers your question
The “variable” terms are also used in regression analysis, which is a statistical technique used to try to forecast future events by examining past performance.
The dependant variable is the one which fluctuates in response to changes in the independent variable(s). As an example, an ice cream salesman may want to try to forecast his sales by assuming they vary with the maximum daytime temperature. The ice cream sales would be the dependent variable, which the forecaster would suggest varies in response to (or is dependant upon) changes in the temperature – the independent variable. He would produce a mathematical model which would show how sales have varied in response to changes in temperature.
All he has to do then is get an accurate forecast of the weather (or, more precisely, the temperature) and the model will provide him with a forecast of ice cream sales.
Models such as this using one independent variable use simple regression analysis. More complex models use two or more independent variables and this is known as multiple regression analysis. The ice cream man may decide that as well as the weather, changes in the amount of pocket money given to children may also have an effect on his sales. The pocket money data would become his second independant variable.
The dependant variable is the one which fluctuates in response to changes in the independent variable(s). As an example, an ice cream salesman may want to try to forecast his sales by assuming they vary with the maximum daytime temperature. The ice cream sales would be the dependent variable, which the forecaster would suggest varies in response to (or is dependant upon) changes in the temperature – the independent variable. He would produce a mathematical model which would show how sales have varied in response to changes in temperature.
All he has to do then is get an accurate forecast of the weather (or, more precisely, the temperature) and the model will provide him with a forecast of ice cream sales.
Models such as this using one independent variable use simple regression analysis. More complex models use two or more independent variables and this is known as multiple regression analysis. The ice cream man may decide that as well as the weather, changes in the amount of pocket money given to children may also have an effect on his sales. The pocket money data would become his second independant variable.
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