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Statistical reasoning for health sciences
Typology: Exams
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a sample that accurately reflects the characteristics of the population as a whole
Take on values with equal units such as weight in lbs or time in hours
place an individual into groups based on a characteristic, behavior, or outcome
a form of nonprobability sample using respondents who are convenient or readily accessible to the researcher—for example, employees, friends, or relatives
the fraction or percent of the time that an event occurs to the total number of outcomes
the sum of relative frequency up through, and including, the category of interest
a variable that names categories (whether with words or numerals)