PropCIs (version 0.1-6)

addz2ci: Agresti-Coull CI for a binomial proportion

Description

Agresti-Coull CI for a binomial proportion based on adding $z^2/2$ successes and $z^2/2$ failures before computing the Wald CI. The CI is truncated, when it overshoots the boundary.

Usage

addz2ci(x, n, conf.level)

Arguments

x

number of successes

n

number of trials

conf.level

confidence coefficient

Value

• A list with class "htest" containing the following components:
• conf.int
  a confidence interval for the difference in proportions.
• estimate
  estimated $\hat{p}$

References

Agresti, A., Coull, B. (1998): Approximate is better than exact for interval estimation of binomial proportions. The American Statistician

Examples

addz2ci(x = 15, n = 112, conf.level = 0.95)