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### 18 Cards in this Set

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 Subject an individual upon which experiment is performed treatment a specific experimental condition imposed on the subjects. Explanatory Variable X (factor) a set of treatments imposed on the subjects that mey effect the outcome Response variable Y the outcome measured on the subjects to reveal the effects of the treatments Control treatment WITHOUT the active ingredient imposed on subjects Placebo dummy treatment that resembles the active treatment. Lurking Variable a variable that affects the relationship b/w response variable and explanatory variable but is not included among the variables. Confounding a condition where the effects of two different variables on the response variable cannot be distinguished from each other. Three Principles of Good Experimental Design 1. Control or Comparison 2. Randomiazation 3. Replication Control or Comparison what: comparing tratments why: eliminate and measure lurking variables Randomization what: random assignment why: eliminate bias and to average Replication what:each treatment to more than one group why: to measure chance variation Control or Comparison 3 types 1. Treatment vs. Control (no treatment) 2. Treatment vs. Control (placebo) 3. Treatment 1 vs. Treatment number two (comparison) Randomization steps 1. use random device 2. Treatments assigned 3. experiments compared observed effect difference b/w what we see and what we expect to see in the data. chance variation variation b/w the results when we apply the treatment to two groups. Statistically significant an observed effect that is too large to be attributed to chance variation i.e if the difference b/w two treatments is statistically significant when the treatments affect the responses Purpose of experiment to determine if treatments affect response.