Confidence Interval For A Proportion

Compute a Wilson score confidence interval for a binary proportion or nonconformance rate.

Concept

p̂LowerUpperWilson score intervalp̂=Observed proportionn=Sample sizez=Normal critical value

Results

Enter the inputs and select Calculate.

Inputs

Formula & Variables

p̂ + z22n± z√(p̂(1 - p̂)n+ z24n2)1 + z2n
p̂
Observed proportion
[1]
n
Sample size
[1]
z
Normal critical value
[1]

Assumptions

  • Observations are independent Bernoulli trials.
  • The count represents binary outcomes out of the entered sample size.

⚠ Limitations

  • Raw data processing, paired intervals, and two-sample intervals require separate methods.
  • Exact binomial intervals require a separate exact-binomial method and are not included here.
Sources & Citations 2
  • NIST Engineering Statistics HandbookNational Institute of Standards and Technology · 2003 · Formula authority
  • Approximate Is Better than 'Exact' for Interval Estimation of Binomial ProportionsAlan Agresti and Brent A. Coull · 1998 · Corroboration