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

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

infer_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

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

n

number of observations

k

number of successes

exp_k

expected number of successes

obs_p

assumed probability of success

exp_p

expected probability of success

lower

lower one sided p value

upper

upper one sided p value

Deprecated Functions

binom_calc() and binom_test() have been deprecated. Instead use infer_binom_cal() and infer_binom_test().

References

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

See also

Examples

# using calculator infer_binom_calc(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 #> --------------------------------------------
# using data set infer_binom_test(hsb, female, prob = 0.5)
#> Binomial Test #> --------------------------------------- #> Group N Obs. Prop Exp. Prop #> --------------------------------------- #> 0 91 0.455 0.500 #> 1 109 0.545 0.500 #> --------------------------------------- #> #> #> Test Summary #> ---------------------------------------------- #> Tail Prob p-value #> ---------------------------------------------- #> Lower Pr(k <= 109) 0.910518 #> Upper Pr(k >= 109) 0.114623 #> ----------------------------------------------