1. Nominal data names, labels, or distinguishing numbers
ex: gender, hair color, zip code
2. Ordinal data order or rank
ex: satisfaction survey
3. Discrete data usually expressed by a whole number
ex: number of children in a family
4. Continuous data measured to the nearest
ex: body temperature, weight, height
5. t-test applies two ditterent interventions on subjects split into two groups
ex: 100 patients with chronic migraines, one group receives pharmaceuti-
cal intervention and the other receives injections
6. chi-square looks for relationships between categorical variables. you cannot put the
variables into an order
ex: relationship between depression and cardiac event
7. ANOVA compares more than two "like" groups using same ditterent interventions
ex: anterior knee pain. one group uses ice pack to reduce pain and another
receives an ultrasound three times a week, and another takes 500 mg Advil
daily
8. Wilcoxon Signed-Rank looks for ditterences between two sets of scores with the same partici-
test pants.
ex: men with lung cancer who see the same oncologists or women with
lung cancer who are tested every six months.
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