Calculate the Confidence Interval with Formulae
In this method, we will use binomial confidence interval in R using this formula:
Syntax: p + c(-qnorm(1-a/2), qnorm(1-a/2))*sqrt((1/100)*p*(1-p))
where,
- p is the proportional value
- a is the significance level
R
# p value p = 52/56 # alpha value a = 0.05 # calculate binomial interval print (p + c (- qnorm (1-a/2), qnorm (1-a/2))* sqrt ((1/100)*p*(1-p))) |
Output:
[1] 0.8780946 0.9790482
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