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بۆ به‌ڕێوه‌ بردن کلیک بکه‌
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 Original Sim and Translations

### ناوه‌ڕۆک

• وێچوویی
• ژمێره‌کاری
• هیستۆگرامه‌کان

### 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!

### Sample Learning Goals

• 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

6.SP.A.2
Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
6.SP.B.4
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.B.5c
Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
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 1.1.18

### Teacher Tips

 Overview of sim controls, model simplifications, and insights into student thinking ( PDF ).

### Teacher-Submitted Activities

Displaying, Analyzing, and Summarizing Data Jeffrey Bush MS Guided بیرکاری
What are the chances? Susan Miller HS
MS
Guided بیرکاری
Preguntas de razonamiento para todas las simulaciones HTML5 Diana López UG-Adv
K-5
MS
HS
UG-Intro
Discuss
HW
ئه‌ستێره‌ناسی
کیمیا
بیرکاری
فیزیا
How do PhET simulations fit in my middle school program? Sarah Borenstein MS دیکه‌ فیزیا
کیمیا
زانستی زه‌وی
ژیناسی
Alignment of PhET sims with NGSS Trish Loeblein updated by Diana López HS
MS
دیکه‌ ژیناسی
کیمیا
فیزیا
زانستی زه‌وی
Middle School Math Sim Alignment Amanda McGarry MS دیکه‌ بیرکاری
SECUNDARIA: Alineación PhET con programas de la SEP México (2011 y 2017) Diana López MS
HS
دیکه‌ بیرکاری
فیزیا
ژیناسی
کیمیا
PREPARATORIA: Alineación de PhET con programas de la DGB México (2017) Diana López HS
UG-Intro
دیکه‌ کیمیا
بیرکاری
فیزیا
PRIMARIA: Alineación con programas de la SEP México (2011 y 2017) Diana López K-5
MS
Discuss
تاقیگه‌
HW
Guided
Demo
بیرکاری
ئه‌ستێره‌ناسی
فیزیا
کیمیا
Plinko Probability for Long-Run Frequencies Kelly Findley MS Guided بیرکاری
Quais são as possibilidades? Dina Séfora Santana Menezes Lima e Maria Cleide da Silva Barroso K-5 تاقیگه‌ بیرکاری
Atividade com objeto de aprendizagem do Phet Renato Tavarez HS Guided بیرکاری
Chinese - Simplified All 中文 (中国) 二项分布弹珠台几率
Dutch All Nederlands Galtonbord - waarschijnlijkheid
French All français Probabilité avec un plinko
Greek All Ελληνικά Πιθανότητες Pinko
Hebrew All עברית הסתברות פלינקו
Hindi All हिंदी प्लिंको संभाव्यता
Hungarian All magyar Galton-deszka
Italian All italiano Probabilità
Japanese All 日本語 確率分布を作る
Kazakh All Kazakh Ықтималдықтар теориясы элеменеттері
Korean All 한국어 플린코 확률
Marathi All मराठी प्लिन्को संभाव्यता
Mongolian All Монгол (Монгол) Plinko магадлалын түгэлт
Norwegian Bokmal All Norsk bokmål Plinko sannsynlighet
Polish All polski Deska Galtona
Russian All русский Элементы теории вероятности
Serbian All Српски Расподела вероватноће (Галтонова кутија)
Slovak All Slovenčina Pravdepodobnosť
Vietnamese All Tiếng Việt Xác suất Plinko
فارسی All فارسی احتمال پلینکو

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Design Team Third-party Libraries سوپاس بۆ
• Martin Veillette (developer)
• Denzell Barnett (developer)
• Chris Malley (developer)
• Guillermo Ramos-Macias (developer)
• Michael Dubson (original designer)
• Karina K. Hensberry
• Trish Loeblein
• Ariel Paul
• Kathy Perkins
• almond-0.2.9.js
• base64-js-1.2.0.js
• FileSaver-b8054a2.js
• font-awesome-4.5.0
• game-up-camera-1.0.0.js
• himalaya-0.2.7.js
• jama-1.0.2
• jquery-2.1.0.js
• lodash-4.17.4.js
• pegjs-0.7.0.js
• seedrandom-2.4.2.js
• text-2.0.12.js
• TextEncoderLite-3c9f6f0.js