continuous data

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“Continuity means data can take any value and there are no gaps or jumps between values. Measures such as weight, height, or distance are common forms of continuous data. Even though a measuring device lacks infinite resolution, the underlying data could take on any value. Measures such as time could be continuous, but are sometimes handled as discrete data—depending on the desired model and the measurement method. If time is measured in seconds or fractions of a second, it is likely to be continuous. If it is measured in months or years, it might be handled as a discrete variable. The point is that the choice of continuous or discrete data is dependent on the problem and the model.”

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By |February 1st, 2019|Comments Off on continuous data