WebCab Probability and Stat (J2SE Ed.) v.3.3 in Standard Probability Distributions, Basic Statistics, Hypothesis Testing

	WebCab Probability and Stat (J2SE Ed.) v.3.3	You might be interested in MathAid Probability and Statistics
	Offers functionality from Basic Statistics, Discrete	Statistics tutorial is a new
	Probability, Standard Probability Distributions,	java-based package for e-learning
	Hypothesis Testing, Correlation and Linear	and home schooling. It guides the
	Regression. Statistics Module The	user through all steps of the
	Statistics module incorporates evaluation procedures	learning process, from theoretical
	of standard quantitative measures of centrality	concepts, examples, problem-solving
	(mean) and dispersion of (discrete) numerical sets.	lessons, drills to customized tests.
	This module incorporates weighted averages, geometric	The emphasis is on interactivity and
	mean, Inter-Quartile range, mean and standard	"living" formulas - the unique
	deviation, sample variance and the coefficient of	graphics and animations bring life
	variation. Discrete Probability	to the formulas and make learning
	Module The Discrete Probability module	and exploring maths real fun.
	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.
	Download WebCab Probability and Stat (J2SE Ed.) v.3.3	Buy($199.00)