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

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Probability Module Encapsulates the probabilistic study of finite set of events (i.e. discrete probability) and experiments with a finite number of outcomes (i.e. discrete random variables). Including: probability measures, union/intersection law, conditionals/complementary probability; cumulative distribution functions, mean/variance/expected return of Random Variable. Correlation and Regression Module Allows the user to investigate relationships

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Probability Module Encapsulates the probabilistic study of finite set of events (i.e. discrete probability) and experiments with a finite number of outcomes (i.e. discrete random variables). Including: probability measures, union/intersection law, conditionals/complementary probability; cumulative distribution functions, mean/variance/expected return of Random Variable. Correlation and Regression Module Allows the user to investigate relationships

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Probability Analysis Software that provides everything needed for using Discrete and Continuous Probability Distributions in a single Windows application. Most Tables and supplied functions (such as in MS Excel) give P(X less than A) and using algebra other results can be found whereas ESBPDF Analysis is Probability Analysis Software that handles all the combinations for you. Features include Binomial, Poisson, Hypergeometric, Normal, Exponential

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probability density (PDF), cumulative distribution (CDF), survival and Hazard functions. Major distribution characteristics such as math ‘Mean’, standard deviation, coefficient of variation, Skewness and Kurtosis can be calculated as well as fractal value of a distribution function based on given probability. SLGallery calculates new values and plots graphs immediately after you change an argument allowing for dynamic representation of probability

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Mathaid interactive Probability and Statistics tutorial is a new java-based package for e-learning and home schooling. It guides the user through all steps of the learning process, from theoretical concepts, examples, problem-solving lessons, drills to customized tests. The emphasis is on interactivity and "living" formulas - the unique graphics and animations bring life to the formulas and make learning and exploring maths real fun.

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