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.

ADVERTISING


Software Specs

Publisher:............ MathAid, LLC

License:............... Demo

Price:................... $41.95

File size:.............. 670 KB

Downloads:.........

Release date:...... 14 Apr 2006

Last update:........ 12 Dec 2013

Language:............ English

Publisher review for MathAid Probability and Statistics 25.63:

Review by: MathAid, LLC
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.
Requirements:
Microsoft Java Virtual Machine 1.1.x or Sun Java Runtime Environment 1.1.8, 1.3.x or higher

Operating system:
Win95,Win98,WinME,WinNT 4.x,WinXP,Windows2000,Unix,Linux

Release notes:
Major Update

Whats new in version 25.63:
Test Generator was enhanced

Download MathAid Probability and Statistics 25.63

MathAid Probability and Statistics screenshots:

MathAid Probability and Statistics 25.63 screenshot. Click to enlarge!

MathAid Probability and Statistics download 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

Copyright information:

Copyright (c) 2024 ++ win7dwnld.com - All rights reserved. - 0.0062 s