What is the Null hypothesis? - ANSWER No difference exists.
What is type I error? - ANSWER Type I error: incorrectly rejecting the the null
hypothesis: saying a difference exists when the null hypothesis is true (no difference
actually exists.)
What is type II error? - ANSWER Type II error: Incorrectly accept the null hypothesis
(saying no difference exists when a difference actually does exist.)
What is type III error? - ANSWER Type III error: conclusions are not supported by data.
What is a prospective cohort study? - ANSWER Non-Random assignment to treatment
group
What is ANOVA? - ANSWER ANOVA: t-test for >2 samples of quantitative data
(continuous variables.)
What do you use non-parametric statistics for? - ANSWER Non-parametric statistics: for
qualitative data analysis.
What are the types of qualitative variables? - ANSWER 1. nominal (named eg. color)
2. ordinal (on a scale eg. pain 1-10 scale)
Prevalence - ANSWER Prevalence: # of patients having the isease in the population.
(higher in diseases that last a long time)
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