# RASPODJELA VJEROVATNOĆE

 Preuzimanje (Download) Ugradnja (Embed) zatvori Ugradi (Embed) izvršnu kopiju ove simulacije Koristi ovaj HTML za ugradnju (embed) izvršne kopije ove simulacije. Možeš mijenjati dimenzije prikaza (širinu i visinu ekrana) mijenjajući "width" i "height" atribute u HTML. Ugradi sliku. Klikom na nju pokretat će se simulacija.
Klikni i započni
Koristi ovaj HTML kod da bi se pojavio ekran sa natpisom "Klikni i započni" ("Click to Run"). Vjerovatnoća Histogrami PhET je podržаn od: i nаstаvnikа kаo što ste Vi!
 Back to HTML5 Version

• Vjerovatnoća
• Histogrami

### Description

Drop balls through a triangular grid of pegs and see them accumulate in containers. Switch to a histogram view and compare the distribution of balls to an ideal binomial distribution. Adjust the binary probability and develop your knowledge of statistics!

### Primjeri obrazovnih ciljeva

• Predict the bin where a single ball might fall
• Repeat trials of 100 balls and compare the outcomes
• Count the number of balls in a bin and relate that to the probability of falling in that bin
• Compare and interpret empirical and theoretical statistics
• Apply the plinko simulation as a model to other scenarios where there are weighted statistics

### Standards Alignment

#### Common Core - Math

7.SP.C.5
Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 1/2 indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event.
7.SP.C.6
Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.
HSS-IC.A.2
Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. For example, a model says a spinning coin falls heads up with probability 0.5. Would a result of 5 tails in a row cause you to question the model?
HSS-ID.A.1
Represent data with plots on the real number line (dot plots, histograms, and box plots).
HSS-ID.A.2
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
Version 2.02

### Teacher-Submitted Activities

Probability Plinko beki toussaint HS (VŠ) Lab Matematika
How do PhET simulations fit in my middle school program? Sarah Borenstein MS (SŠ) Ostalo Fizika
Hemija
Nauka o Zemlji
Biologija
MS and HS TEK to Sim Alignment Elyse Zimmer HS (VŠ)
MS (SŠ)
Ostalo Fizika
Hemija
Biologija
플린코 확률 SIM 사용설명서 이화국(Wha Kuk Lee) HS (VŠ)
MS (SŠ)
Demo
KP
Lab
Amarik All Amharic የፒንኮ ይሆንታ(pinko probability)
Francuski All français Probablilté sur planche à clous
Hebrejski All עברית ההתפלגות סטנדרטית
Holandski All Nederlands Knikkerspel en waarschijnlijkheidsverdeling
Hrvatski All hrvatski Pascalov trokut
Italijanski All italiano Il gioco di Plinko: probabilità
Japanski All 日本語 パチンコ玉の落下分布
Kazaški All Kazakh Пинконын Мүмкіндік
Kineski - Tradicionalni All 中文 (台灣) 二項分佈彈珠台機率
Kineski - Uprošćen All 中文 (中国) 二项分布弹珠台机率
Korejski All 한국어 플린코 확률
Makedonski All македонски Распределба на веројатност
Mađarski All magyar Galton-deszka
Njemački All Deutsch Binomialverteilung am Plinkobrett
Persijski All فارسی احتمال بازش پلینکو
Poljski All polski Deska Galtona -prawdopodobieństwo
Slovački All Slovenčina Pravdepodobnosť
Srpski All Српски РАСПОДЕЛА ВЕРОВАТНОЋЕ