Performing Binomial Test in R programming - binom.test() Method Last Updated : 10 May, 2020 Comments Improve Suggest changes Like Article Like Report 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: Python3 # 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: Python3 # 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 Comment More infoAdvertise with us Next Article Performing Binomial Test in R programming - binom.test() Method J Jitender_1998 Follow Improve Article Tags : R Language Similar Reads Performing F-Test in R programming - var.test() Method var.test() Method in R Programming language perform the f-test between two normal populations with some hypothesis that variances of two populations are equal in R programming. var.test() Method in R Syntax Syntax: var.test() Return: Returns the F-Test score for some hypothesis.  var.test() Method 1 min read Bartlett’s Test in R Programming In statistics, Bartlett's test is used to test if k samples are from populations with equal variances. Equal variances across populations are called homoscedasticity or homogeneity of variances. Some statistical tests, for example, the ANOVA test, assume that variances are equal across groups or sam 5 min read Levene’s Test in R Programming Levene's test is an inferential statistic used to assess whether the variances of a variable are equal across two or more groups, especially when the data comes from a non-normal distribution. This test checks the assumption of homoscedasticity (equal variances) before conducting tests like ANOVA. I 3 min read One-Proportion Z-Test in R Programming The One proportion Z-test is used to compare an observed proportion to a theoretical one when there are only two categories. For example, we have a population of mice containing half male and half females (p = 0.5 = 50%). Some of these mice (n = 160) have developed spontaneous cancer, including 95 m 4 min read Fisher’s F-Test in R Programming In this article, we will delve into the fundamental concepts of the F-Test, its applications, assumptions, and how to perform it using R programming. We will also provide a step-by-step guide with examples and visualizations to help you master the F-Test in the R Programming Language.What is Fisher’ 4 min read Like