Conditional Probability Explained: Visual Intuition

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The Condition of Bayesville [Bayes' rule, medical testing
probability animation]
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How did u compute the no. False positives to be much
Thought it was a 5% chance??

thankgodmudnoe
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Which software you used to create this beautiful animation

esakkisundar
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Let's see what happens with the coronavirus... But murphy's law whatever can go wrong will go wrong....

Maria-jchb
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Is this for real how they teach statistics in harvard university?

moviefreakFTW
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I didn't understand how he came up with 16% wrong result. Isn't the formula like that?
P(Health | positive)= P(healthy intersection positive) / P(positive). Please could anyone help me with the calculation? Thanks in advance

sadececansu
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Good job. The tutorial is in English language.

sripujihartati
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menurut saya kreatif, sesekali memang mahasiswa diberikan pemahaman dengan bahasa asing agar terbiasa

advasyariva
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There are flaws to this logic, on the individual level the odds that you have the disease does not change. The chances that you have the disease when diagnosed positive is still 95%. However, if you look into the collective demographic of people who have been diagnosed positive, the odds of that person having the disease are much lower. The reason there are more false positive is due to the demographic for a false positive being much bigger.

NovajaPravda
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wow hope the government does see this because they would be pissed

camo