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Chapter I Terms
Statistics It has four meanings, data; functions of data such as mean and range;
techniques for collections, analysis, and interpretation of data for decision making; and
the science of creating and applying the techniques.
Population collection of all people, objects, or events having one or more specified
characteristics.
Element a single person, object, or event of the population.
Concrete population the number of elements is finite and the population is well defined;
example: the population of telephone book listees.
Conceptual Population the population exists as an idea rather than as a material object;
example: flipping a coin.
Observation (datum) the number or label used to represent an element of the population
Sample a proper subset of a population
Descriptive Statistics tools for depicting or summarizing data so it can be comprehended
easier.
Induction an observation of a sample of elements and generalize from the sample to all
the elements.
Inferential Statistics tools for inferring the properties of one or more populations from an
inspection of samples drawn from the population.
Random Sampling a method of drawing samples from a population such that every
possible sample of a particular size has an equal chance of being selected.
Nonrandom Samples a sampling method based on haphazard or puposeless choices.
Chance Variability (sampling fluctuation) the elements obtained differ from sample to
sample.
Variable a characteristic that can take on different values.
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 Spring '08
 kirk

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