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WebCab Probability and Statistics (J2SE Ed.) v. 3.3
Release date: 10/05/2004  Minor Update
Author: WebCab Components
License: Commercial     Price:  $199.00 US    Other:  ALL 199
Expiration: unknown
Operating System: Windows 98,2k,XP, Unix,Linux
Requirements: An Operating System running Java
Download size: 7617 kilobytes     Install support:  Install and Uninstall
Web site: WebCab Components - WebCab Probability and Statistics (J2SE Ed.)
Download WebCab Probability and Statistics (J2SE Ed.)     Buy Now
 
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Description:  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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Author's other listings: WebCab Bonds (J2EE Edition)  2
WebCab Bonds (J2SE Edition)  1
WebCab Bonds for .NET  2
WebCab Bonds for Delphi  2
WebCab Functions (J2EE Edition)  2.0
WebCab Functions (J2SE Edition)  2.0
WebCab Functions for .NET  2.0
WebCab Functions for Delphi  2.0
WebCab Optimization (J2EE Edition)  2.6
WebCab Optimization (J2SE Edition)  2.6
WebCab Optimization for .NET  2.6
WebCab Optimization for Delphi  2.6
WebCab Options (J2EE Edition)  2.5
WebCab Options (J2SE Edition)  2.5
WebCab Options and Futures for .NET  3.0
WebCab Options and Futures for Delphi  3.0
WebCab Portfolio (J2EE Edition)  4.2
WebCab Portfolio (J2SE Edition)  4.2
WebCab Portfolio for .NET  4.2
WebCab Portfolio for Delphi  4.2
WebCab Probability and Stat for .NET  3.3
WebCab Probability and Statistics (J2EE Ed.)  3.3
WebCab Probability and Statistics for Delphi  3.3
WebCab TA (J2EE Community Edition)  1
WebCab TA (J2SE Community Edition)  1
WebCab TA for .NET (Community Edition)  1
WebCab TA for Delphi (Community Edition)  1
 
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