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.

p

Aggregate probability.

s

Number of success.

type

Lower/upper/exact/interval.

tp

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().

See also

Examples

# visualize binomial distribution dist_binom_plot(10, 0.3)
# visualize probability from a given quantile dist_binom_prob(10, 0.3, 4, type = 'exact')
dist_binom_prob(10, 0.3, 4, type = 'lower')
dist_binom_prob(10, 0.3, 4, type = 'upper')
dist_binom_prob(10, 0.3, c(4, 6), type = 'interval')
# visualize quantiles out of given probability dist_binom_perc(10, 0.5, 0.05)
dist_binom_perc(10, 0.5, 0.05, "upper")