
Galton Board
The Galton Board is a 7.5” by 4.5” desktop probability demonstrator. A STEM™ approved product coupled with a STEM™ curriculum, this delightful little device brings to life the statistical concept of normal distribution.
Galton Board
two new 12 inch tall galton boards with pascal’s triangle are available! They are probability demonstrators that illustrate randomness, the normal distribution, the binomial distribution, the central limit theorem, regression to the mean and single outcomes with one larger golden bead.
Videos Featuring the Desktop Galton Board
Videos on desktop Galton Board, Francis Galton, physics, probability and the central limit theory.
Galton Board
The Galton Board with Pascal's Triangle is a probability demonstrator providing a visualization of math in motion and the powers of the probabilities and statistics. With the addition of the Stock Market Clip-ons, the board illustrates the randomness and the …
Resale Interest Form - galtonboard.com
Go to the Galton Board page on Amazon.com; You will see quantity discounts. Place your order. If you are interested in reselling Galton Boards, please fill out the form below:
Galton Board and Stock Market Videos
Galton Board Stock Market Videos. Archive. The Amazing Normal Distribution Function. Sequences 4: Pascal's Triangle. The Central Limit Theorem, Part 1 of 2. Hypothesis Testing, Part 1 of 2. Hypothesis Testing, Part 2 of 2. Estimation of a Population Proportion, Part 2 of 2. Leonard Mlodinow | Talks at Google.
Articles on Probability, Standard Deviation and Randomness in the …
A Galton Board Demonstration of Why All Statistical Models are Misspecified. The Galton board or quincunx is a fascinating device that provides a compelling demonstration of one the main laws of statistics. Read Full Article
Prediction of the beads movement: Path Predictions Pick out certain beads, when watching the recording, and color code their paths onto the pascal triangle below.
Institute of Mathematical Statistics is collaborating with JSTOR to digitize, preserve, and extend access to Statistical Science. www.jstor.org
www.galtonboard.com
www.galtonboard.com