ifr_binom_calc: Binomial Test

In inferr: Inferential Statistics

Binomial Test

Description

Test whether the proportion of successes on a two-level categorical dependent variable significantly differs from a hypothesized value.

Usage

ifr_binom_calc(n, success, prob = 0.5, ...)

ifr_binom_test(data, variable, prob = 0.5)

Arguments

n	number of observations
success	number of successes
prob	assumed probability of success on a trial
...	additional arguments passed to or from other methods
data	a data.frame or a tibble
variable	factor; column in data

Value

ifr_binom_test returns an object of class "ifr_binom_test". An object of class "ifr_binom_test" is a list containing the following components:

exp_k	expected number of successes
exp_p	expected probability of success
k	number of successes
n	number of observations
obs_p	assumed probability of success
pval_lower	lower one sided p value
pval_upper	upper one sided p value

Deprecated Functions

infer_binom_calc() and infer_binom_test() have been deprecated. Instead use ifr_binom_cal() and ifr_binom_test().

References

Hoel, P. G. 1984. Introduction to Mathematical Statistics. 5th ed. New York: Wiley.

See Also

binom.test

Examples

# using calculator
ifr_binom_calc(32, 13, prob = 0.5)

# using data set
ifr_binom_test(hsb, female, prob = 0.5)

inferr documentation built on April 4, 2025, 2:08 a.m.