Eliminating common misconceptions to enable intelligent use of biostatistics: How can a novice use statistics more intelligently?

Gary Gaddis

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Three types of numeric data commonly appear in the biomedical literature. These include nominal data, ordinal data, and numerical data, which can be expected to be normally distributed (parametric data). These three types of data are typically reported with descriptions of their central tendency and variability. More importantly, these three types of data are used for making statistical inferences. Specific biostatistical descriptors and specific inferential tests are appropriate to use with each type of data. Correct usage can be enhanced and errors of data reporting or statistical inference can be avoided by applying information in this chapter. However, selection of the appropriate inferential test does not eliminate the possibility of Type I and Type II errors when making statistical inferences.

Original languageEnglish
Title of host publicationDoing Research in Emergency and Acute Care
Subtitle of host publicationMaking Order Out of Chaos
PublisherJohn Wiley and Sons Ltd
Pages173-182
Number of pages10
ISBN (Electronic)9781118643440
ISBN (Print)9781118643488
DOIs
StatePublished - Oct 6 2015

Keywords

  • Measures of Central Tendency
  • Measures of Variability
  • Nominal data
  • Ordinal data
  • Parametric Data
  • Statistical Inference
  • Type I Errors
  • Type II Errors

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