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categorical data
characteristics or attributes in distinct groups or labels
numerical
quantifiable measurements expressed as numbers
nominal
named categories (ex: gender, race)
ordinal
categories with implied order
discrete
only particular numbers (ex: # of fractures)
continuous
any number (ex: height, weight)
trial
procedure that can be infinitely repeated
sample space
full range of possible outcomes
outcome
possible result for given trial
disjointed events
if two events are disjointed, both events can’t occur at the same time (no overlap)
independent events
the occurrence of one event does not influence occurrence of another event (no influence)
additive rule
when categories are mutually exclusive, proportions of all categories sum to 100%
multiplication rule
calculates the probability of two events, A and B, both occurring using the formula P(A and B) = P(A) * P(B|A); applies to independent probabilistic events