Identifying Biases and the Relevant Statistical Population: The Case of the Loch Ness Monster

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 imprec...

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Bibliographic Details
Main Authors: Charles G. M. Paxton, Adrian J. Shine, Valentin M. Popov
Format: Article
Language:English
Published: Taylor & Francis Group 2025-07-01
Series:Journal of Statistics and Data Science Education
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/26939169.2025.2455195
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Summary: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.
ISSN:2693-9169