Confidence Interval in the One-proportion z-test context. The confidence interval is a useful tool in hypothesis testing, as it allows us to estimate the range of possible values for the true population proportion, and can help us decide whether a null hypothesis is plausible or should be rejected.
Usage
stamp_eq_ci(x = 0, y = 0, ...)
Arguments
- x
a numeric indicating position on x axis
- y
a numeric indicating position on y axis
- ...
Value
a ggplot2 annotation layer which is the plotmath version of a function
Examples
library(ggplot2)
#> Error in library(ggplot2): there is no package called ‘ggplot2’
ggplot() +
stamp_eq_ci()
#> Error in ggplot(): could not find function "ggplot"
