Description Usage Arguments Details Author(s) See Also Examples

Generates lower and upper confidence interval limits for a binomial proportion using different types of confidence intervals.

1 2 3 | ```
binomTest(n, x,
alpha = 0.05,
intervalType = "Clopper-Pearson")
``` |

`n` |
sample size |

`x` |
number of successes |

`alpha` |
significance level for confidence interval |

`intervalType` |
type of confidence interval used; either "Clopper-Pearson", "Wald", "Wilson-Score", "Jeffreys", "Agresti-Coull", "Arcsine", or "Blaker" |

Generates a lower and upper confidence interval limit for a binomial proportion using

various types of confidence intervals,

various sample sizes, and

various numbers of successes.

When the `binomTest`

function is called, it returns a two-element vector in which

the first element is the lower bound of the confidence interval, and

the second element is the upper bound of the confidence interval.

This confidence interval is constructed by calculating lower and upper bounds associated with the confidence interval procedure specified by the `intervalType`

argument. Lower bounds that are negative are set to 0 and upper bounds that are greater than 1 are set to 1.

Hayeon Park (hpark03@email.wm.edu), Larry Leemis (leemis@math.wm.edu)

1 2 |

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