proportion.test.onesample.approximate.simple: One Sample Proportion Test (Approximate)

View source: R/proportion.test.onesample.approximate.simple.R

proportion.test.onesample.approximateR Documentation

One Sample Proportion Test (Approximate)

Description

Calculates a one-sample proportion test to determine if a sample proportion is statistically different from an assumed population proportion.

Usage

proportion.test.onesample.approximate(
  x,
  success.value = 1,
  null.hypothesis.proportion = 0.5,
  alternative = c("two.sided", "less", "greater"),
  conf.level = 0.95,
  continuity.correction = T
)

proportion.test.onesample.approximate.simple(
  sample.proportion,
  sample.size,
  null.hypothesis.proportion = 0.5,
  alternative = c("two.sided", "less", "greater"),
  conf.level = 0.95,
  continuity.correction = T
)

Arguments

x

Vector - Sample Values

success.value

Scalar - Value compared with x using == operator to determine if a trial is a "success"

null.hypothesis.proportion

Scalar/numeric - assumed population proportion.

alternative

The alternative hypothesis to use for the test computation.

conf.level

The confidence level for this test, between 0 and 1.

continuity.correction

Scalar/logical - if TRUE, apply the continuity correction to the calculation

sample.proportion

Scalar/numeric - sample proportion between 0 and 1

sample.size

Scalar/numeric - sample size.

Value

Hypothesis test result showing results of test.


burrm/lolcat documentation built on Sept. 15, 2023, 11:35 a.m.