Visualize how changes in number of trials and the probability of success affect the shape of the binomial distribution. Compute & visualize probability from a given quantile and quantiles out of given probability.

dist_binom_plot(n, p)

dist_binom_prob(n, p, s, type = c("lower", "upper", "exact", "interval"))

dist_binom_perc(n, p, tp, type = c("lower", "upper"))

## Arguments

n Number of trials. Aggregate probability. Number of success. Lower/upper/exact/interval. Probability of success in a trial.

## Value

A list containing the following components:

avg

Mean of the binomial distribution,

stdev

Standard deviation of the binomial distribution.

prob

Probability of success.

## Deprecated functions

binom_plot(), binom_prob(), binom_perc() have been deprecated. Instead use dist_binom_plot(), dist_binom_prob() and dist_binom_perc().

Binomial
# visualize binomial distribution