MathAid Probability and Statistics 25.63
Java based math course includes problem-solving lessons, drills and tests
Java based math course includes theoretical concepts, hands-on examples featuring animated graphics and live formulas, problem-solving lessons, and customizable real time tests with solutions and evaluations.
MathAid Probability and Statistics 25.63 Description:
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 including solutions and evaluation. 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. Topics covered: counting principles and probability, random variables, discrete distributions, continuous distributions, distributions related to the normal, parameter estimation, hypothesis testing, linear regression. The demo version contains selected lessons from the full version, fully functional, all features included.
Free Download MathAid Probability and Statistics 25.63 now!
MathAid, LLCPublisher:
Demo, $41.95 to buy Licence:
Windows,Unix,LinuxOS:
MathAid_ProbStat_2563_demo.exe - 670KBFile-Size:
April 14, 2006 Date Added:
Major UpdateMathAid Probability and Statistics Release status:
MathAid Probability and Statistics 25.63 Tags:
mathematics math statistics probability tutorials tests lessons drills random variable expected value variance standard deviation covariance correlation density marginal distributions parameter estimation hypothesis linear regression
mathematics math statistics probability tutorials tests lessons drills random variable expected value variance standard deviation covariance correlation density marginal distributions parameter estimation hypothesis linear regression
MathAid Probability and Statistics 25.63 system requirements:
Microsoft Java Virtual Machine 1.1.x or Sun Java Runtime Environment 1.1.8, 1.3.x or higher
Microsoft Java Virtual Machine 1.1.x or Sun Java Runtime Environment 1.1.8, 1.3.x or higher
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