p-value
UK[ˈpiː ˌvæl.juː]US[ˈpiː ˌvæl.juː]
n
(in statistics) a number between 0 and 1 that indicates how likely it is that a particular result would have occurred by chance, used to assess the strength of evidence against a null hypothesis.
Morpheme Breakdown
p
value
p
abbreviation
value
measure
Etymology
The term "p-value" is a modern statistical construct, formed by combining the abbreviation "p" for "probability" with the word "value." The "p" derives from the concept of probability, a cornerstone of statistical inference with roots in Latin 'probabilitas', meaning likelihood. The word "value" comes from Latin 'valere', implying worth or strength, and in this context, it denotes a specific numerical measure. Thus, a p-value is literally a "probability value," a single number quantifying the strength of evidence against a default (null) hypothesis, elegantly condensing complex probabilistic reasoning into a standardized metric for scientific decision-making.
Analysis
Structure: p (abbreviation) + value (measure)
p: An abbreviation for "probability," originating from the Latin 'probabilitas'. Its functional role is to specify the type of value being discussed.
value: From the Latin 'valere' (to be worth, be strong). Its functional role is to denote a numerical quantity or measure.
Examples
A p-value of less than 0.05 is often considered statistically significant.
The researcher reported a p-value of 0.01, indicating strong evidence against the null hypothesis.
Interpreting the p-value requires careful consideration of the study's context and design.