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29,710 Views • Feb 21, 2025 • Click to toggle off description
Views : 29,710
Genre: People & Blogs
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Uploaded At Feb 21, 2025 ^^
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Rating : 4.91 (23/995 LTDR)
97.74% of the users lieked the video!!
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User score: 96.61- Overwhelmingly Positive
RYD date created : 2025-02-28T00:02:37.522656Z
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13 Comments
Top Comments of this video!! :3
Also one imp probability concept..dice throw is an independent event...so probability distributions of sum of the nos folllws normal distribution ( gaussian)
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Todos los valores se concentran al centro...
Función gráfica de la campana de Gauss...
👊😼👌☀️🫶📝
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Me : Hay look a dice!
That topper : NO! "it is a perfect example of theorm where two cubical objects are used to execute i.e CENTRAL EXTREM VALUE THEORM "
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The results were 36 times 6 same and 6 unsame!
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🤯
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Finnaly no cringe Albert Einstein edit
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Is there any numerical proof of this theorem??
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@Hablas-hi6vl
4 days ago
I believe it depends on the number of factors for each possible combined value of the dice rolls. Number 2 only has one factor, which is one, making the probability 1/12. A number like 7 on the other hand has multiple factors each dice could be either 1,2,3,4,5, or 6, making the probability of getting a combined dice roll of 7 significantly higher.
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