Experiments
Observational Studies
Observes individuals and measures variables of interest but does not attempt to influence the responses
Experiments
deliberately imposes some treatment on individuals to measure their responses
only source of convincing causation
have explanatory and response variables
Confounding Variables
The effects of two variables on a response variable cannot be separated from each other
Lurking Variables
Lurking variables tamper with results but are unknown completely
Experimental Units
a collection of individuals that treatment is being applied to
rats or monkey
if they are humans → subjects
Four Components of a Well Designed Experiment
Comparison - used to defeat placebo effect
Control - helps to determine the effectiveness of treatment by attempting to minimize confounding
Randomization - used to combat bias and equally disperse lurking variables among treatment groups
Replication - uses enough experimental units to defeat chance variation (it is not repeating experiments)
Completely Randomized Experiment
Block Design
Matched Pairs
the subject pairs must be as similar as possible
all subjects undergo all treatments