Exact hypothesis test for binomial random variables.

binom_test(n, success, prob = 0.5)

binom_calc(data, prob = 0.5)

Arguments

n
number of observations
success
number of successes
prob
assumed probability of success on a trial
data
a numeric vector

Value

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

Examples

binom_test(32, 13, prob = 0.5)
#> Binomial Test #> -------------------------------------- #> Group N Obs. Prop Exp. Prop #> -------------------------------------- #> 0 19 0.59375 0.500 #> 1 13 0.40625 0.500 #> -------------------------------------- #> #> #> Test Summary #> -------------------------------------------- #> Tail Prob p-value #> -------------------------------------------- #> Lower Pr(k <= 13) 0.188543 #> Upper Pr(k >= 13) 0.892336 #> Two Pr(k <= 13 or k >= 19) 0.377086 #> --------------------------------------------
# using data set binom_calc(as.factor(mtcars$am), prob = 0.5)
#> Binomial Test #> -------------------------------------- #> Group N Obs. Prop Exp. Prop #> -------------------------------------- #> 0 19 0.59375 0.500 #> 1 13 0.40625 0.500 #> -------------------------------------- #> #> #> Test Summary #> -------------------------------------------- #> Tail Prob p-value #> -------------------------------------------- #> Lower Pr(k <= 13) 0.188543 #> Upper Pr(k >= 13) 0.892336 #> Two Pr(k <= 13 or k >= 19) 0.377086 #> --------------------------------------------