R Binomial Test
binom.test() function performs binomial test of null hypothesis about binomial distribution.
x: number of successes
n: number of trials
p: hypothesized probability of success
alternative: alternative hypothesis, including "two.sided","greater","less"
conf.level: confidence level
Suppose in a coin tossing, the chance to get a head or tail is 50%. In a real case, we have 100 coin tossings, and get 48 heads, is our original hypothesis true?
Exact binomial test data: 48 and 100 number of successes = 48, number of trials = 100, p-value = 0.7644 alternative hypothesis: true probability of success is not equal to 0.5 95 percent confidence interval: 0.3790055 0.5822102 sample estimates: probability of success 0.48
Since the p-value is 0.7644, far greater than 0.05, the hypothesis is accepted.