calc.n.binomial: Audit Sample Size for Large Samples
In koenderks/auditR: A Multifunctional R Package for Auditing

Description Usage Arguments Value Details Author(s) Examples

This function calculates the required sample size for an audit, based on the Binomial distribution. The Binomial distribution can be used if the expected required sample is less than 10% of the population.

n / N < 10%

1	calc.n.binomial(expected.mistakes, materiality, confidence = 0.95)

`expected.mistakes`	An integer representing the number of expected mistakes in the sample.
`materiality`	A value representing the materiality of the audit in percentages.
`confidence`	The amount of confidence desired from the bound (on a scale from 0 to 1), defaults to 95% confidence.

A value indicating the required sample size for the audit.

EMPTY FOR NOW

Koen Derks, k.derks@nyenrode.nl

# Calculate the required sample size for a materiality of 5\% when one mistake
# is expected to be found in the sample.
calc.n.binomial(expected.mistakes = 1,
                materiality = 0.05,
                confidence = 0.95)