Use the prop.test() function
This function is used to calculate the 95% binomial confidence interval.
Syntax: prop.test(x, n, conf.level=.95, correct=FALSE)
where,
- x is the input variable
- n is the sample size
- conf.level is the confidence level which is used to calculate the 95% binomial confidence interval.
R
# calculate for 34 print ( prop.test (x = 34, n = 100, conf.level = .95, correct = FALSE )) |
Output:
1-sample proportions test without continuity correction data: 34 out of 100, null probability 0.5 X-squared = 10.24, df = 1, p-value = 0.001374 alternative hypothesis: true p is not equal to 0.5 95 percent confidence interval: 0.2546152 0.4372227 sample estimates: p 0.34
How to Calculate a Binomial Confidence Interval in R?
In this article, we will discuss how to calculate a Binomial Confidence interval in R Programming Language. We can calculate Binomial Confidence Interval by using the below formulae:
p +/- z*(√p(1-p) / n)
where,
- p is for the proportion of successes
- z is the chosen value
- n is the sample size
We can calculate by using the below methods