EJB Suite offers functionality from Basic Statistics,
Discrete Probability, Standard Probability
Distributions, Hypothesis Testing, Correlation and
Linear Regression.

Statistics Module
The Statistics module incorporates evaluation
procedures of standard quantitative measures of
centrality (mean) and dispersion of (discrete)
numerical sets. This module incorporates weighted
averages, geometric mean, Inter-Quartile range, mean
and standard deviation, sample variance and the
coefficient of variation.

Discrete Probability Module
The Discrete Probability module encapsulates the
foundations of discrete probability and discrete
probability distributions. This component includes the
addition law, conditional probability, cumulative
distribution function, mean and variance of a
distribution, expected values, covariance and
simplification of expressions involving random
variables.

Correlation and Regression Module
Allows the user to investigate relationships between
two variables. These finding can be used to predict
one variable from the given values of other variables.
We cover linear (Spearman's, t-test, z-transform) and
rank (Spearman's, Kendall's) correlation, linear
regression and conditional means.

Standard Probability Distributions Module
This module assists in the development of applications
that incorporate the Binomial, Poisson, Normal,
Lognormal, Pareto, Uniform, Hypergeometric and
Exponential probability distributions. The probability
density function, cumulative distribution function and
inverse, mean, variance, Skewness and Kurtosis are
implemented where appropriate and/or their
approximations for each distribution. We also offer
methods which randomly generate numbers from a given
distribution.

Confidence Intervals and Hypothesis Testing Module
Within this component we present two aspects of
inferential statistics known as confidence intervals
and hypothesis testing.

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