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| science of collecting, describing, and inerpreting data. |
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| collection, presentation, and description of sample data. |
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| technique of interpreting the values resulting from the descriptive techniques |
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| collection, or set, of individuals, objects, or events whose properties are to be analyzed |
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| subset of a population (aka set of data) |
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| characteristic of interest about each individual element of a population or sample |
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| value of the variable associated with one element of a population or sample. |
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| set of values collected from the variable from each of the elements that belong to the sample. |
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| planned activity whose results yield a set of data |
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| numerical value summarizing all the data of an entire population. |
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| numerical value summarizing the sample data |
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| attribute/categorical variable |
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| variable that describes or categorizes an element of a population |
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| quantitative/numerical variable |
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| variable that quantifies an element of a population |
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| 1 of 2 QUALITATIVE VARIABLES: characterizes an element of a population |
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| 2 of 2 QUALITATIVE VARIABLES: incorporates an ordered position, or ranking. |
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| 1 of 2 QUANTITATIVE VARIABLES: can assume an accountable number of values |
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| 2 of 2 QUANTITATIVE VARIABLES: can assume an uncountable number of values |
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| process of selecting items/events that will become the sample |
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| produces data that systematically differ from the sampled population. |
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| not biased and produces data that are representative of the sampled population. |
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| investigator controls or modifies the environment and observes the effect on the variable under study |
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| observational study (METHOD) |
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| investigator does not modify the environment and does not control the process being observed |
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| observational studies of people |
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| list, or set, of the elements belonging to the population from which the sample will be drawn |
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| samples that are selected on the basis of being judged "typical" |
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| samples in which the elements to e selected are drawn on the basis of probability. |
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| sample design in which the elements of the sampling frame are treated equally and there is no subdividing or partitioning of the frame |
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| 1 of 2 SINGLE-STAGE METHODS: sample selected in such a way that every element in the population or sampling frame has an equal probability of being chosen. |
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| 2 of 2 SINGLE-STAGE METHODS: sample in which every kth item of the sampling frame is selected, starting from a first element, which is randomly selected from the first k elements |
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| a sample design in which the elements of the sampling frame are subdivided and the sample is chosen in more than one stage. |
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| 1 of 3 MULTISTAGE METHODS: sample obtained by stratifying the population, or sampling frame, and then selecting a number of items from each of the strata by means of a simple random sampling technique |
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| proportional stratified sample |
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Definition
| 2 of 3 MULTISTAGE METHODS: sample obtained by stratifying the population, or sampling frame, and then selecting a number of items in proportion to the size of the strata from each strata by means of a simple random sampling technique |
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Term
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Definition
| 3 of 3 MULTISTAGE METHODS: sample obtained by stratifying the population, or sampling frame, and then selecting some or all of the items from some, but not all, of the strata |
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