BIOL 2000H Lecture Notes - Lecture 12: Confounding, Statistical Unit

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3 Nov 2016
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Biol 2000 lecture 12 & 13 experimental design. Vary some independent variable while holding everything else constant. Changes in dependent variable are likely to be caused by the changes in the independent variable. *check slides for examples of dependent and independent varibales* An experiment can have one or more independent variables. Each independent variable can have two or more levels. Often the independent variable is related to the hypothesis under consideration. The dependent variable is what you measure. For a given experiment there is only one dependent variable. Often the dependent variable is directly related to what you are trying to explain. This can also be referred to as the response variable. Can be problematic: change outcome or limit ability to discern effects. I(cid:374)trodu(cid:272)e (cid:374)oise (cid:271)ut do(cid:374)"t syste(cid:373)ati(cid:272)ally (cid:271)ias the results. Can refer to the type of experiment constructed. Not necessary but simplifies statistics: more replicates are better. Improves your estimates of the mean and variance: treatment levels vs replicates.

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