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Download WebCab Probability and Stat (J2EE Ed.) for windows
On this page you are able to download WebCab Probability and Stat (J2EE Ed.) program of windows section of math category, as well as familiarize with its brief description, operating system type, kind of license and a program popularity rating. Here is also the information about previous user views and a program product downloads amount. In order to download WebCab Probability and Stat (J2EE Ed.) you have to enter the confirmation code in the appropriate form and click on the "Download WebCab Probability and Stat (J2EE Ed.)" link. The download will begin in a few second in case of correct code input.
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OS: Linux/Unix/Win98/Windows2000/Windows2003/WinXP
License: Demo,$249.00
Rating: 0
Views/Downloads: 249/2
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.
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 w