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Difference between revisions of "Conclusion of the ‘Normal Science’ section"
Conclusion of the ‘Normal Science’ section (view source)
Revision as of 13:58, 19 September 2024
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Bayes' theorem is an important principle of probability theory that allows us to update beliefs or probabilities about an event in light of new evidence or information. In other words, it allows us to recalculate the probability of a hypothesis, given the observation of some data. | Bayes' theorem is an important principle of probability theory that allows us to update beliefs or probabilities about an event in light of new evidence or information. In other words, it allows us to recalculate the probability of a hypothesis, given the observation of some data. | ||
The formula for Bayes' Theorem is: | The formula for Bayes' Theorem is: | ||
<math>P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)}</math> | <math>P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)}</math> | ||