What is it about?
In a population-representative survey of U.S. adults, 25% reported having no understanding of statistical concepts like p-values, while 37% reported only limited familiarity in the sense of “having heard of or read about them.” However, when asked whether they would base decisions on reported statistics if they understood them better, about 90% said they would do so at least sometimes (49% sometimes, 33% often, 8% always). Responses were broadly similar across demographic categories (race, sex, income, and political affiliations). Self-reported statistical literacy was found to be higher among younger respondents and among respondents with higher educational attainment. Individuals with higher self-reported statistical literacy also tended to express greater willingness to use statistics in decision-making if they understood it better.
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Why is it important?
Results suggest low public self-confidence in using statistical information but substantial interest in doing so if that confidence improves. We argue that this presents an opportunity to advance statistical education by strengthening public understanding of basic concepts and enabling individuals to better apply them to what they read and encounter in everyday life.
Perspectives
As a statistics teacher, I have long aspired to see a future where people routinely apply fundamental statistical thinking, especially when consuming popular or academic media. I have thus been curious about how the public perceives their own statistical literacy: while there is clear evidence that actual literacy is low, how individuals assess their own understanding likely shapes their willingness to engage and learn. To me, these results are both pleasing and encouraging, as they suggest a meaningful opportunity to strengthen statistical literacy within and beyond the classroom.
Mark Louie Ramos
Pennsylvania State University
Read the Original
This page is a summary of: Self-reported perception of statistical literacy: Evidence from a National Survey of U.S. Adults, PLOS One, June 2026, PLOS,
DOI: 10.1371/journal.pone.0350282.
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