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Statistics and Research Methods for Acute Care and General SurgeonsAnalyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison

Statistics and Research Methods for Acute Care and General Surgeons: Analyzing Continuous... [Every day we deal with large amount of data, qualitative and quantitative. Quantitative data could be discrete or continuous. The first step for quantitative data analysis is to evaluate their distribution that could be normal or non-normal. Based on data distribution we can describe data with their proper measures. Based on data distribution we can also choose the proper test for data comparison: parametric and non-parametric statistics. This chapter will describe quantitative data measures (mean, median), data dispersion measures (standard deviation and interquartile range), and tests for data comparison. Moreover appropriate graphs for data description and linear correlation statistics will be described.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Statistics and Research Methods for Acute Care and General SurgeonsAnalyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison

Part of the Hot Topics in Acute Care Surgery and Trauma Book Series
Editors: Ceresoli, Marco; Abu-Zidan, Fikri M.; Staudenmayer, Kristan L.; Catena, Fausto; Coccolini, Federico
Ceresoli, Marco; Nespoli, Luca
Statistics and Research Methods for Acute Care and General Surgeons — Dec 14, 2022
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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-031-13817-1
Pages
55 –66
DOI
10.1007/978-3-031-13818-8_5
Publisher site
See Chapter on Publisher Site

Abstract

[Every day we deal with large amount of data, qualitative and quantitative. Quantitative data could be discrete or continuous. The first step for quantitative data analysis is to evaluate their distribution that could be normal or non-normal. Based on data distribution we can describe data with their proper measures. Based on data distribution we can also choose the proper test for data comparison: parametric and non-parametric statistics. This chapter will describe quantitative data measures (mean, median), data dispersion measures (standard deviation and interquartile range), and tests for data comparison. Moreover appropriate graphs for data description and linear correlation statistics will be described.]

Published: Dec 14, 2022

Keywords: Quantitative variables; Quantitative data; Data distribution; Parametric statistics; Non-parametric statistics

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