Law of large numbers
This page was translated from German with AI. It has not been checked by a native speaker. Original page in German
The video
In the video we roll a dice up to \(1000\) times and estimate the probability for a drawing pin.
Contents of the video
- 0:00 Introduction
- 0:20 More rolls
- 0:38 The law of large numbers
- 0:58 Estimating a probability
- 1:21 Careful, mistake!
- 1:42 Try it yourself
The most important points
\(10\) rolls, \(4\) sixes: relative frequency \(\frac{4}{10} = 0{,}4\). But the probability is only \(\frac{1}{6} \approx 0{,}17\). The dice is not broken: with few rolls, chance plays a part.
Law of large numbers
The more often you repeat an experiment, the closer the relative frequency is to the probability (das Gesetz der großen Zahlen).
If you do not know the probability, you estimate it: a drawing pin thrown \(1000\) times, \(620\) times on its back: \(P \approx 0{,}62\).
Careful: in \(600\) rolls there are not exactly \(100\) sixes. The exact number is chance.
The worksheet
Here you can see the worksheet for the video (in German). First it explains everything again, then there are practice tasks at three levels. You can also open it as a PDF and print it.
📄 Open worksheet (PDF, German)
Show the worksheet solutions
Try it yourself
Task
A coin is tossed \(200\) times, heads comes up \(112\) times. What is the relative frequency? Does it fit the probability \(0{,}5\)?
Show solution
\(\frac{112}{200} = 0{,}56\). That is close to \(0{,}5\).
Keep learning with a language model
Du bist meine Mathe-Lehrkraft. Ich lerne Deutsch als Zweitsprache. Unser Thema: Gesetz der großen Zahlen (relative Häufigkeit nähert sich der Wahrscheinlichkeit, Wahrscheinlichkeit schätzen). Stelle mir nacheinander fünf kurze Aufgaben. Warte immer auf meine Antwort. Sag mir dann, ob sie richtig ist, und erkläre kurz, warum. Benutze einfache deutsche Sätze.
How this was made: The idea, structure and examples of the series are mine. I made them with the help of AI: a language model (LLM) built the slides of the video following my instructions. The voice was generated with Qwen3-TTS, modelled on my own voice.
The subtitles, the translations, the worksheet and this page were also made with the help of AI. The translations have not been checked by native speakers.
The videos, worksheets, texts and prompts in this series are licensed under CC BY 4.0: you may use, change and share them if you name the source.