Scales of measurement and presentation of statistical data

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dc.contributor.authorMishra, Prabhakeren_US
dc.contributor.authorPandey, CMen_US
dc.contributor.authorSingh, Uttamen_US
dc.contributor.authorGupta, Anshulen_US
dc.date.accessioned2019-12-02T09:43:41Z
dc.date.available2019-12-02T09:43:41Z
dc.date.issued2018-10
dc.description.abstractMeasurement scale is an important part of data collection, analysis, and presentation. In the data collection and data analysis, statistical tools differ from one data type to another. There are four types of variables, namely nominal, ordinal, discrete, and continuous, and their nature and application are different. Graphs are a common method to visually present and illustrate relationships in the data. There are several statistical diagrams available to present data sets. However, their use depends on our objectives and data types. We should use the appropriate diagram for the data set, which is very useful for easily and quickly communicating summaries and findings to the audience. In the present study, statistical data type and its presentation, which are used in the field of biomedical research, have been discussed.en_US
dc.identifier.affiliationsDepartment of Biostatistics and Health Informatics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, Indiaen_US
dc.identifier.affiliationsDepartment of Haematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, Indiaen_US
dc.identifier.citationMishra Prabhaker, Pandey CM, Singh Uttam, Gupta Anshul. Scales of measurement and presentation of statistical data. Annals of Cardiac Anaesthesia. 2018 Oct; 21(4): 419-422en_US
dc.identifier.issn0971-9784
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/185763
dc.languageenen_US
dc.publisherWolters Kluwer - Medknowen_US
dc.relation.issuenumber4en_US
dc.relation.volume21en_US
dc.source.urihttps://dx.doi.org/10.4103/aca.ACA_131_18en_US
dc.subjectGraphical presentationen_US
dc.subjectqualitative variableen_US
dc.subjectquantitative variableen_US
dc.subjectscales of measurementen_US
dc.titleScales of measurement and presentation of statistical dataen_US
dc.typeJournal Articleen_US
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