STA 210 Lecture Notes - Lecture 1: Dependent And Independent Variables, Confounding, Design Of Experiments
16 Feb 2017
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Document Summary
An experiment is when you collect data under controlled conditions with the goal of. Part 1 establishing something close to cause and effect. Control separates experiments from collecting a survey. Control is what makes an experiment an experiment. Confounding is purposeful control produces some of the purest data one can collect. Confounding is to confuse or to make up. In statistics, confusion caused by a third variable distorting the association being studied between two other variables. Response variable- the primary variable you are taking measurements on for your experiment. Explanatory variable- what you are varying in your experiment (different treatments or treatment levels) Subjects- who or what you are doing the experiment on. Lurking variable- another name for that third variable that can cause confounding. Placebo effect-real response from subjects to an inert treatment. Helps to keep the comparison groups as much alike as possible. Randomization in some sense addresses confounding in a very direct way.
