loading...| Preferred Name | continuous measurement datum | |
| Synonyms |
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| Definitions |
A 'continuous measurement datum' is a 'numerical measurement datum' that can take any value between two numbers. Any value within an interval is possible with a fine enough measuring device. For example, blood pressure is usually measured to the nearest 2mm Hg, but could be measured with much greater resolution of difference. The interval measurement scale is intended for continuous data. Sometimes continuous data are given discrete values at certain thresholds, for example age a last birthday is a discrete value but age itself is a continuous quantity; in these situations it is reasonable to treat discrete values as continuous. Remember that information is lost when continuous data are recorded only in ranges (ordered categories), and the statistical analysis of continuous data is more powerful than that of categorical data. |
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| ID |
http://www.semanticweb.org/eamdouni/ontologies/2015/5/IBO#continuous_measurement_datum |
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| created_by |
PERSONS: Emna Amdouni and Bernrad Gibaud |
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| definition |
A 'continuous measurement datum' is a 'numerical measurement datum' that can take any value between two numbers. Any value within an interval is possible with a fine enough measuring device. For example, blood pressure is usually measured to the nearest 2mm Hg, but could be measured with much greater resolution of difference. The interval measurement scale is intended for continuous data. Sometimes continuous data are given discrete values at certain thresholds, for example age a last birthday is a discrete value but age itself is a continuous quantity; in these situations it is reasonable to treat discrete values as continuous. Remember that information is lost when continuous data are recorded only in ranges (ordered categories), and the statistical analysis of continuous data is more powerful than that of categorical data. |
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| editor preferred term |
continuous measurement datum |
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| example of usage |
For example, between 62 and 82 inches, there are a lot of possibilities: one participant might be 64.03891 inches tall, and another person might be 72.67025 inches tall. And there are literally millions of other possible heights between 62 and 82 inches. |
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| IAO_0000114 | ||
| label |
continuous measurement datum |
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| prefLabel |
continuous measurement datum |
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| source |
WEB: http://www.statsdirect.com/help/default.htm#basics/measurement_scales.htm |
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| subClassOf |
http://www.semanticweb.org/eamdouni/ontologies/2015/5/IBO#numerical_measurement_datum |