Describing data: statistical and graphical methods.
An important step in any analysis is to describe the data by using descriptive and graphic methods. The author provides an approach to the most commonly used numeric and graphic methods for describing data. Methods are presented for summarizing data numerically, including presentation of data in tables and calculation of statistics for central tendency, variability, and distribution. Methods are also presented for displaying data graphically, including line graphs, bar graphs, histograms, and frequency polygons. The description and graphing of study data result in better analysis and presentation of data.
Sonnad
Seema S
SS
Department of Surgery, University of Michigan Medical Center, Ann Arbor, USA. seema.sonnad@uphs.upenn.edu
D001932:Brain Neoplasms / Q000453:epidemiology; D003625:Data Collection; D003626:Data Display; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D008297:Male; D015588:Observer Variation; D011471:Prostatic Neoplasms / Q000453:epidemiology