proptest_data: Binomial Test Data Creation

In exams.forge: Support for Compiling Examination Tasks using the 'exams' Package

Binomial Test Data Creation

Description

Creates data for a binomial test based on the properties for the test.

Usage

proptest_data(
  size = 10:100,
  prob = seq(0.05, 0.45, by = 0.05),
  reject = TRUE,
  alternative = c("two.sided", "less", "greater"),
  alpha = c(0.01, 0.05, 0.1),
  norm.approx = NA,
  maxit = 1000
)

prop_binomtest_data(
  size = 10:100,
  prob = seq(0.05, 0.45, by = 0.05),
  reject = TRUE,
  alternative = c("two.sided", "less", "greater"),
  alpha = c(0.01, 0.05, 0.1),
  norm.approx = NA,
  maxit = 1000
)

dbinomtest(
  size = 10:100,
  prob = seq(0.05, 0.45, by = 0.05),
  reject = TRUE,
  alternative = c("two.sided", "less", "greater"),
  alpha = c(0.01, 0.05, 0.1),
  norm.approx = NA,
  maxit = 1000
)

Arguments

size	numeric: vector of sample sizes (default 10:100)
prob	numeric: vector of probabilities for the hypothetical proportion \pi_0 (default =seq(0.05, 0.45, by=0.05))
reject	logical: should x generate a lead for the rejection of the null hypothesis (default TRUE), if equals NA then this will be ignored
alternative	character: a character string specifying the alternative hypothesis, must be one of two.sided (default), greater or less
alpha	numeric: vector of significance levels (default c(0.01, 0.05, 0.1))
norm.approx	logical: should a normal approximation be possible (size*prob*(1-prob)>9)
maxit	integer: maximal numbers of trials to find a solution (default 1000)

Value

A list with the components:

• pi0 hypothetical proportion

• x counts of successes in the sample

• n sample size

• alpha significance level

• alternative specifying the alternative hypothesis (either two.sided, greater or less)

Examples

proptest_data()

exams.forge documentation built on Aug. 21, 2025, 5:41 p.m.