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Statistics using R programming - Geometric distribution with R programming #statistics
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Statistics using R programming - Geometric distribution with R programming.
If we consider the special case of the negative binomial distribution where k = 1, we have a probability distribution for the number of trials required for a single success.
If repeated independent trials can result in a success with probability p and a failure with probability q = 1 − p, then the probability distribution of the random variable X, the number of the trial on which the first success occurs.
probability functions take the form [dpqr]distribution_abbreviation()
Where
d = Density or probability
p = Cumulative Distribution function
q = Quantile function
r = Random number generation
geom Geometric
#statistics
#rprogramming
#probability
#rstudio
#geometric
#geometricdistribution
#rdatacode
If we consider the special case of the negative binomial distribution where k = 1, we have a probability distribution for the number of trials required for a single success.
If repeated independent trials can result in a success with probability p and a failure with probability q = 1 − p, then the probability distribution of the random variable X, the number of the trial on which the first success occurs.
probability functions take the form [dpqr]distribution_abbreviation()
Where
d = Density or probability
p = Cumulative Distribution function
q = Quantile function
r = Random number generation
geom Geometric
#statistics
#rprogramming
#probability
#rstudio
#geometric
#geometricdistribution
#rdatacode