Without specific details about the probability distribution, it is difficult to provide a specific method to compute the cumulative distribution function (CDF) using R. However, in general, R provides built-in functions to compute the CDF for various probability distributions such as normal, binomial, Poisson, exponential, etc.
For example, to compute the CDF of the standard normal distribution up to a value of 1.96, you can use the pnorm()
function in R as follows:
pnorm(1.96)
This will give you the probability that a random variable from the standard normal distribution is less than or equal to 1.96.
Similarly, to compute the CDF of a binomial distribution with 10 trials and a probability of success of 0.5 up to a value of 5, you can use the pbinom()
function in R as follows:
pbinom(5, size = 10, prob = 0.5)
This will give you the probability of getting 5 or fewer successes in 10 independent Bernoulli trials with a probability of success of 0.5.
Asked: 2023-05-08 23:53:00 +0000
Seen: 11 times
Last updated: May 09 '23