Beyond the p-value: How descriptive statistics unlock insights in veterinary research?

Margarita Lušņičenko, Alīna Zolova, Jeļena Perevozčikova, Anna Gavrilova, Aleksandr Semjonov, Maksims Zolovs (Corresponding Author)

Research output: Contribution to journalArticlepeer-review

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Abstract

Veterinary research relies heavily on data analysis to understand animal health and disease. While inferential statistics are crucial for concluding, descriptive statistics form the foundation for effective data exploration and interpretation. This review delves into the importance of descriptive statistics in veterinary science. It outlines the key objectives of descriptive analysis and provides multiple examples of its application. The application of common measures like frequency distributions, central tendency, data spread, and visualization in veterinary contexts is explored. The review emphasizes the role of descriptive statistics in establishing a strong foundation for further statistical analysis of veterinary data.

Original languageEnglish
Pages (from-to)140 -150
Number of pages11
JournalGerman Journal of Veterinary Research
Volume4
Issue number3
DOIs
Publication statusPublished - 2 Oct 2024

Keywords*

  • Data exploration
  • Animal Science
  • Effective data analysis
  • Veterinary data

Field of Science*

  • 4.3 Veterinary science
  • 1.6 Biological sciences
  • 5.2 Economy and Business
  • 1.1 Mathematics

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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