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MathAid Probability and Statistics 25.63

Java based math course includes problem-solving lessons, drills and tests
Last updated: January 3, 2009
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MathAid Probability and Statistics 25.63 Summary:

Publisher: MathAid, LLC
Rating:
Free Download MathAid Probability and Statistics 25.63Download Now
  • Windows,Unix,Linux - 670KB
  • Licence: Demo, $41.95 to buy
  • Date Added: April 14, 2006
  • Release status: Major Update

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. 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.

Software OS: Win95,Win98,WinME,WinNT 4.x,WinXP,Windows2000,Unix,Linux
Setup Filename: MathAid_ProbStat_2563_demo.exe
System Requirements: Microsoft Java Virtual Machine 1.1.x or Sun Java Runtime Environment 1.1.8, 1.3.x or higher

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

MathAid Probability and Statistics 25.63 Full 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.


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