Generates a plot of the Binomial distribution with user specified parameters.

## Arguments

- stat
a statistic to obtain the probability from. When using the "bounded" condition, you must supply the parameter as

`stat = c(lower_bound, upper_bound)`

. Otherwise, a simple`stat = desired_point`

will suffice.- size
size of sample.

- prob
probability of picking object.

- section
Select how you want the statistic(s) evaluated via

`section=`

either`"lower"`

,`"bounded"`

,`"upper"`

, or`"tails"`

.- strict
Determines whether the probability will be generated as a strict (<, >) or equal to (<=, >=) inequality.

`strict=`

requires either values = 0 or =FALSE for equal to OR values =1 or =TRUE for strict. For bounded condition use:`strict=c(0,1)`

or`strict=c(FALSE,TRUE)`

.

## Examples

```
# Evaluates lower tail with equal to inequality.
visualize.binom(stat = 1, size = 3, prob = 0.5, section = "lower", strict = FALSE)
# Evaluates bounded region with lower bound equal to and upper bound strict inequality.
visualize.binom(stat = c(1,2), size = 5, prob = 0.35, section = "bounded", strict = c(0,1))
# Evaluates upper tail with strict inequality.
visualize.binom(stat = 1, size = 3, prob = 0.5, section = "upper", strict = TRUE)
```