data:image/png;base64,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

Code to simulate tossing....

1datamapmany

data lists

110i

121

cont

catchtag

cont

catchtag

Sprite

LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.

Hello!12

Make a new sprite, have it run this block to turn into a button. This will clear anything drawn on the stage.

Push me!

pen trail

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D7AQIECBAgEAgIcIBukgABAgQIHLFxAWmhEwHPAAAAAElFTkSuQmCCTotaal10Dit onderstaande script doet alles. Het heeft één helper-script genaamd WerpMunt, waarvan de code hieronder staat.De verdeling zal lijken op die van het rechter histogram bij punt 3. Met als modus 50%.Hoe meer worpen worde gesimuleerd, hoe meer het histogram zal lijken op een symmetrische belcurve.aan naar dit:Een stapje verder A: Vraag de gebruiker voor voor een percentage kop en sla het op in de variabele kop procent. Pas daarna dit:Een stapje verder C: Het belangrijkste idee van dit probleem is dat de som van twee dobbelstenen met zes kanten, niet dezelfde verdeling hebben als een enkele dobbelsteen met twaalf kanten. Die laatste is uniform: ieder resultaat van 1 tot 12 heeft een even grote kans. Maar bij twee dobbelstenen is een som van 7 het waarschijnlijkst omdat er zes manieren zijn om die te krijgen: 1+6, 2+5, ..., 6+1. Er zijn vijf amnieren om een som van 6 te maken: 1+5, 2+4, ... 5+1.false0000