WebCab Probability and Stat (J2EE Ed.) 3.6
WebCab Probability And Stat (J2EE Ed.) 3.6 Statistics...
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.
Curve Fitting Module
The Curve Fitting module offers procedures by which linear and non-linear functions can be fitted in accordance with the least squares approach to a given data set which may or may not exhibit measurement errors. We also include functionality which performs ANNOVA type analysis including goodness-of-fit measures such as the R-Squared measure and T-Test statistic.
Confidence Intervals and Hypothesis Testing Module
Within this component we present two aspects of inferential statistics known as confidence intervals and hypothesis testing.
What is new in official WebCab Probability and Stat (J2EE Ed.) 3.6 software version? - Major Update. What is expected in the future? Newly-made WebCab Probability and Stat (J2EE Ed.) 3.7 be downloaded from current page, we also looking forward to unconfirmed 3.8 release build. You may download StatisticsJ2EEDemo.jar directly, estimated download time by ADSL2+ [~24.5 Mbit/s] is 0:00:07. Just write the reviews of the WebCab Probability and Stat (J2EE Ed.). Buy WebCab Probability and Stat (J2EE Ed.) safely through the one software industry's premier registration commerce providers. System requirements are A J2EE1.3 (EJB2.0) compatible Application Server. Program has been scanned and verified by the several antivirus and anti-spyware applications and WebCab Probability and Stat (J2EE Ed.) found to be clean. No guide or WebCab Probability and Stat (J2EE Ed.) tutorial available. The following languages are supported by WebCab Probability and Stat (J2EE Ed.): English.