Sample proportion (p̂)
p̂, said “p hat”, is the sample proportion: the share of a sample that has some characteristic, the number of “successes” divided by the sample size. The proportion in the whole population is written p.
Easily confused with
- Sample mean (x̄)x̄, said “x bar”, is the sample mean: the average of the values in a sample, their total divided by how many there are. The mean of a whole population is written with the Greek letter μ instead.
- P-value (p)Two different p’s: a proportion, and the probability from a test.
- Predicted value (ŷ)The same hat marks an estimate on p̂ and ŷ.
- Caret (^)Unicode cross-refers the combining hat (U+0302) to the caret ^ (U+005E).
How to read it
Penn State’s STAT 500 course notes set the pair side by side: “p is the population proportion. It is a fixed value. p̂ is the sample proportion. It varies based on the sample.” The hat marks an estimate: p̂ is calculated from the data and estimates p, which is usually unknown. OpenStax’s Introductory Statistics describes the calculation as the number of successes, X, divided by n, the number of trials or the sample size. Unicode gives “hat” as another name for the combining circumflex accent, U+0302, and there is no single character for p̂: it is p followed by that mark.
Also searched as: p̂, p hat, p hat symbol, proportion symbol, sample proportion symbol.
p′ in OpenStax
OpenStax’s Introductory Statistics writes the sample proportion p′, read “P prime”, with q′ for the proportion of failures, and notes that the same quantity is sometimes written P̂, read “P hat”. p′ and p̂ mean the same thing.
A Latin letter for the population
The proportion is an exception to the habit of Greek letters for the population. Penn State’s notes give the population mean μ and the population proportion p as their two examples of population parameters, and x̄ and p̂ as the matching sample statistics. For a proportion it is the hat, not the alphabet, that tells the sample from the population.
Look-alikes
The p of a proportion is a different p from the one in a P-value (p), a probability from a hypothesis test, though both appear in the same textbook chapters: one of OpenStax’s tests has H₀: p ≤ 0.066 for a population proportion. The hat is the same mark as on the predicted value ŷ; the keyboard’s caret ^ is a separate character, U+005E, which Unicode cross-refers to the combining hat.
Read next
- Next in Statistics symbolsCorrelation coefficient (r)r is the correlation coefficient, a number from −1 to 1 that measures how closely two variables follow a straight-line relationship, and in which direction. The correlation of a whole population is written with the Greek letter ρ (rho).
- The same shape in Road signsRailroad crossing sign (crossbuck)The railroad crossing sign: two white boards crossed in an X, reading RAILROAD CROSSING. It stands where a road crosses railroad tracks, and in most states it means yield to trains.
More statistics symbols
The same shape elsewhere
Browse symbols drawn with letters and numbers.
Sources
- STAT 500 Applied Statistics, 4.2 Sampling Distribution of the Sample Proportion, Penn State online course notes (archived copy), Penn State Eberly College of Science, Department of Statistics, Notation
- STAT 500 Applied Statistics, 0.2 Foundations, Penn State online course notes (archived copy), Penn State Eberly College of Science, Department of Statistics, Populations and Parameters; Samples and Statistics
- Introductory Statistics 2e, 8.3 A Population Proportion, OpenStax (Rice University), Section 8.3
- Introductory Statistics 2e, 9.1 Null and Alternative Hypotheses, OpenStax (Rice University), Section 9.1; Table 9.1; Examples 9.2 and 9.4
- Earliest Uses of Symbols in Probability and Statistics, Jeff Miller, Earliest Uses of Various Mathematical Symbols, MacTutor History of Mathematics, University of St Andrews, Symbols in Statistics; Symbols associated with the normal distribution; Symbols associated with testing hypotheses
- Combining Diacritical Marks: Range 0300–036F (code chart), The Unicode Standard, Version 18.0, Unicode Consortium, 0302, 0304, 0305
Last reviewed October 8, 2026 by Rory Hansen. How we research
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