calc.n.hypergeometric: Audit Sample Size for Small 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 Hypergeometric distribution. The Hypergeometric distribution can be used if the expected required sample is more than 10% of the population.

n / N > 10%

1	calc.n.hypergeometric(expected.mistakes, population.size, materiality, confidence = 0.95)

`expected.mistakes`	An integer representing the number of expected mistakes in the sample.
`population.size`	An integer representing the number of transactions in in the audit population.
`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 from a population of 1000 transactions.
calc.n.hypergeometric(expected.mistakes = 1,
                      population.size = 1000,
                      materiality = 0.05,
                      confidence = 0.95)