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.

Ceresoli, M., Nespoli, L. (2022). Analyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison. In M. Ceresoli, F.M. Abu-Zidan, K.L. Staudenmayer, F. Catena, F. Coccolini (a cura di), Statistics and Research Methods for Acute Care and General Surgeons (pp. 55-66). Springer Cham [10.1007/978-3-031-13818-8_5].

### Analyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison

#### 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.
##### Scheda breve Scheda completa Scheda completa (DC)
Capitolo o saggio
Quantitative variables; Quantitative data; Data distribution; Parametric statistics; Non-parametric statistics
English
Statistics and Research Methods for Acute Care and General Surgeons
Ceresoli, M; Abu-Zidan, FM; Staudenmayer, KL; Catena, F; Coccolini, F
2022
978-3-031-13817-1
Springer Cham
55
66
Ceresoli, M., Nespoli, L. (2022). Analyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison. In M. Ceresoli, F.M. Abu-Zidan, K.L. Staudenmayer, F. Catena, F. Coccolini (a cura di), Statistics and Research Methods for Acute Care and General Surgeons (pp. 55-66). Springer Cham [10.1007/978-3-031-13818-8_5].
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Utilizza questo identificativo per citare o creare un link a questo documento: `https://hdl.handle.net/10281/399511`
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