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data
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data

Facts, figures, and symbols, especially as stored in computers. The term is often used to mean raw, unprocessed facts, as distinct from information, to which a meaning or interpretation has been applied.

Continuous data is data that can take any of an infinite number of values between whole numbers and so may not be measured completely accurately. This type of data contrasts with discrete data, in which the variable can only take one of a finite set of values. For example, the sizes of apples on a tree form continuous data, whereas the numbers of apples form discrete data.

Raw data are collected by surveys, experiments, observations, and data logging, or questionnaires are conducted. This sort of information is often much easier to understand when displayed as a frequency diagram.

When collecting data about a large population or group of objects it is usually practical to select a smaller sample group to study. Once the data are collected for the sample group they are then interpreted using such methods as frequency diagrams, and conclusions are drawn about the whole population. Sampling is widely used when it is not possible to survey the entire population or group. Often it is practical to arrange the data as grouped data.



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Then he delves into modelling reality itself, examining models with only manifest variables, the general causal model, ad incomplete and non-normal data.
Coverage includes an overview of basic issues in quantitative research, research design and sampling, questionnaire design and coding, describing data properly, testing relationships between variables using standard statistical tools, checking whether different sets of data are significantly different from each other, and statistical tools for the analysis of non-normal data.
To compare continuous, non-normal data (ie, hospital cost and LOS) between cancer patients and controls, a Mann-Whitney U test was utilized.
 
 
 
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