Identifying biases and the relevant statistical population: the case of the Loch Ness Monster

Charles G. M. Paxton*, Adrian J. Shine, Valentin M. Popov

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We used a database of Loch Ness Monster reports to show university level students how important it is to think about bias and the identification of the correct statistical population. The Loch Ness Monster reports database illustrates the importance of considering independence, inaccuracy and imprecision when considering data and how statisticians might handle anecdotes as data. Whilst the data is inappropriate for directly making inferences about Loch Ness Monsters, it may be appropriate for making inferences about the population of Loch Ness Monster reports.
Original languageEnglish
Number of pages6
JournalJournal of Statistics and Data Science Education
VolumeLatest Articles
Early online date8 Apr 2025
DOIs
Publication statusE-pub ahead of print - 8 Apr 2025

Keywords

  • Anomalies
  • Cryptozoology
  • Monsters

Fingerprint

Dive into the research topics of 'Identifying biases and the relevant statistical population: the case of the Loch Ness Monster'. Together they form a unique fingerprint.

Cite this