# Agresti-Coull CI for a binomial proportion based on adding z^2/2 successes and z^2/2 failures before computing the Wald CI

### 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

1 | ```
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 ` |
The confidence intervall for the proportion |

`estimate ` |
The estimator for the proportion |

### References

Agresti, A., Coull, B. (1998): Approximate is better than exact for
interval estimation of binomial proportions. *The American
Statistician* 52, 119–126.

### Examples

1 | ```
addz2ci(x = 15, n = 112, conf.level = 0.95)
``` |

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