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### 22 Cards in this Set

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