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#reading-9-probability-concepts

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The **[...]** explains the unconditional probability of an event in terms of probabilities conditional on the scenarios.

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#reading-9-probability-concepts

Question

The **[...]** explains the unconditional probability of an event in terms of probabilities conditional on the scenarios.

Answer

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#reading-9-probability-concepts

Question

The **[...]** explains the unconditional probability of an event in terms of probabilities conditional on the scenarios.

Answer

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**Subject 5. The Total Probability Rule**

If we have an event or scenario S, the event not-S, called the complement of S, is written S C . Note that P(S) + P(S C ) = 1, as either S or not-S must occur. The total probability rule explains the unconditional probability of an event in terms of probabilities conditional on the scenarios. P(A) = P(A|S)P(S) + P(A|S C )P(S C ) P(A) = P(A|S 1 )P(S 1 ) + P(A|S 2 )P(S 2 ) + ... + P(A|S n )P(S n ) The first equation is just a special case of the secon

If we have an event or scenario S, the event not-S, called the complement of S, is written S C . Note that P(S) + P(S C ) = 1, as either S or not-S must occur. The total probability rule explains the unconditional probability of an event in terms of probabilities conditional on the scenarios. P(A) = P(A|S)P(S) + P(A|S C )P(S C ) P(A) = P(A|S 1 )P(S 1 ) + P(A|S 2 )P(S 2 ) + ... + P(A|S n )P(S n ) The first equation is just a special case of the secon

status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
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repetition number in this series | 0 | memorised on | scheduled repetition | ||||

scheduled repetition interval | last repetition or drill |

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