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18 Cards in this Set

  • Front
  • Back
an individual upon which experiment is performed
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
treatment WITHOUT the active ingredient imposed on subjects
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.
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
what: random assignment
why: eliminate bias and to average
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.