# pBetaMS

0th

Percentile

##### 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]).

• pBetaMS
##### 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

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