approx: Approximations

In sigbertklinke/exams2moodle: Access routines to XML Moodle files and helper routines to simplify generating exercises for Moodle from the 'exams' package

Approximations

Description

Functions which deliver TRUE or FALSE if any approximation if possible. The approximation parameter ccan be set directly or via getOption. The approximation functions deliver TRUE, if

• t2norm: n>c with c=30

• binom2norm: if type is "single" (default) then checks size*prob*(1-prob)>c else checks size*prob>c and size*(1-prob)>c with c=9

• clt2norm: n>c with c=30. Note that existence of the expectation and variance, which is required by the Central Limit Theorem can not be checked. “

Usage

t2norm(n, c = getOption("distribution.t2norm", 30))

binom2norm(
  size,
  prob,
  c = getOption("distribution.binom2norm", 9),
  type = c("single", "double")
)

clt2norm(n, c = getOption("distribution.clt2norm", 30))

Arguments

n	integer: number of observations
c	numeric: approximation parameter (default: ⁠getOption("distribution.APPROXFUN)⁠ or a default value)
size	integer: number of observations
prob	numeric: probability of success on each trial
type	character: approximation condition used

Value

logical if the approximation would be possible

Examples

# check for 5 observations
t2norm(n=c(5,50))
binom2norm(size=c(5,50), prob=0.5)
binom2norm(size=c(5,50), prob=0.5, type="double")

sigbertklinke/exams2moodle documentation built on July 6, 2023, 3:26 p.m.