# pBetaMS

##### Probability of Some Specific Observation under the Standard Beta PDD with Specific Mean and Variance.

Calculates the probability of some specific observation falling under a specified interval ([0, x] or [x, 1]) under the Standard Beta probability density distribution with defined mean and variance or standard deviation.

##### Usage

`pBetaMS(q, mean, variance = NULL, sd = NULL, lower.tail = TRUE)`

##### Arguments

- q
A specific point on the x-axis of the Standard Beta probability density distribution with a defined mean and variance.

- mean
The mean of the target Standard Beta probability density distribution.

- variance
The variance of the target Standard Beta probability density distribution.

- sd
The standard deviation of the target Standard Beta probability density distribution.

- lower.tail
Whether the density that should be considered is between the lower-end (i.e., [0 -> x]) or the higher-end of the distribution (i.e., [x -> 1]).

##### Value

A value representing the probability of a random draw from the Standard Beta probability density distribution with a defined mean and variance being from one of two defined intervals (i.e., [0 -> x] or [x -> 1]).

##### Examples

```
# NOT RUN {
# To compute the proportion of the density under the lower-end tail of a
# point along the Standard (two-parameter) PDD (e.g., .5) with mean of .6
# and variance of .04:
pBetaMS(q = .5, mean = .6, variance = .04)
# }
```

*Documentation reproduced from package betafunctions, version 1.4.0, License: CC0*