The ProbLab models and construction activities provide contexts for learning central concepts of probability and statistics. Students explore the models, guided by structured experiments and riddles. Also, students develop basic orientation in programming environments by modifying code so as better to suit their experiments. Click on these links to interact with on-line versions of these models.

Central Limit Theorem: Population distributions, sample-mean distributionsCombinations Tower: Classroom collaborative combinatorics construction [This link does not contain an interactive model]Dice: Empirical probability with a familiar objectDice Stalagmite: One die, two dice, and outcome distributions (now also available as a HubNet PSA)Equidistant Probability: Connecting geometry and stochasticsExpected Value: Supplementing simple empirical-probability simulations with 'worth'Expected Value Advanced: Supplementing simple empirical-probability simulations with 'worth,' varying the sample size9-Block Stalagmite: Bridging combinatorial sample space and distribution of empirical outcomes9-Block Stalagmite Solo: Companion to Sample Stalagmite for building combinatorial-analysis strategies9-Blocks: Single and compound events as complementary perspectives on combinatorial sample spacePartition Permutation Distribution: Frequencies of possible addends of given totalsProbability Graphs Basic: Three data-analysis perspectives on a randomly generated string of simple dataProbLab Genetics: Demonstrates some connections between probability and the natural sciencesRandom Basic: Playground for exploring fundamental concepts of chanceRandom Basic Advanced: Exploring the effect of sample space and size on outcome distributionRandom Combinations and Permutations: Create a combination of color or dice and search for its permutationsS.A.M.P.L.E.R.: A HubNet participatory simulation in statisticsShuffle Board: Fresh visual metaphor to explore 'waiting time' and 'streaks of success'Stochastic Patchwork: Normal distribution as macro perspective on micro chanceThe ProbLab models themselves can be downloaded or viewed here.

Please keep returning to see what is new. For further information, write to feedback@ccl.northwestern.edu.

Thank you for visiting our site.

[*last updated July 8, 2005*]