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22 Cards in this Set
- Front
- Back
collection of procedures and principles for gathering data and analyzing information when faced with uncertainty
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statistics
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used to make conclusions about populations from samples
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statistics
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clinical trials are this kind of statistic
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biostatistic
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all observations that are of interest to the researcher
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population
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the observations that are actually obtained by the researcher, a subset of the population
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sample
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denoted by n
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sample size
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numbers and category labels that have been collected but have not yet been processed
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raw data
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why do we use samples?
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populations are too large
measuring process might destroy data |
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used to summarize raw data into tables, graphs, and numerical summaries
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descriptive statistics
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making conclusions about the population
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inferential statistics
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characteristics that vary from one individual to the next
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variables
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when the outcome is unpredictable
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random circumstance
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assigns a number or symbol to each outcome of a random circumstance
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random variable
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variable that can only result ina countable set of possibilites
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discrete random variable
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variable that cannot take any possible value in an interval
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discrete random variable
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variable that can take on any value in an interval or in a collection of intervals
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continuous random variable
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variables that have some form of grouping or classification
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categorical
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categorical variable where groups or categories have a natural ordering
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ordinal
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consist of numerical values taken on each individual
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quantitative
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variables of which we want to determine the outcome
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response variables
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variables that partially explain the value of the response variable for the individual
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explanatory variables
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large enough to be unlikely to have occurred in the observed sample if there is no relationship in the population
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statistically significant relationship
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