Skip to content
Related Articles
Get the best out of our app
GeeksforGeeks App
Open App
geeksforgeeks
Browser
Continue

Related Articles

Performing Binomial Test in R programming – binom.test() Method

Improve Article
Save Article
Like Article
Improve Article
Save Article
Like Article

With the help of binom.test() method, we can get the binomial test for some hypothesis of binomial distribution in R Programming.

Syntax: binom.test(x, n, p-value)

Return: Returns the value of binomial test.

Example 1:




# Using binom.test() method
  
gfg <- binom.test(58, 100)
  
print(gfg)

Output:

Exact binomial test

data:  58 and 100
number of successes = 58, number of trials = 100, p-value = 0.1332
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
 0.4771192 0.6780145
sample estimates:
probability of success 
                  0.58 

Example 2:




# Using binom.test() method
  
gfg <- binom.test(1, 36, 0.6)
  
print(gfg)

Output:

Exact binomial test

data:  1 and 36
number of successes = 1, number of trials = 36, p-value = 2.597e-13
alternative hypothesis: true probability of success is not equal to 0.6
95 percent confidence interval:
 0.0007030252 0.1452892647
sample estimates:
probability of success 
            0.02777778 

My Personal Notes arrow_drop_up
Last Updated : 10 May, 2020
Like Article
Save Article
Similar Reads