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Question
The entropy \(H\) of a source is equal to the expected (i.e. average) information content of its messages: [...]
Answer

\(\displaystyle H=\sum\limits^{N}_{i=1}p_{i}k_{i}=\sum\limits^{N}_{i=1}p_{i}\log_{2}(1/p_{i})\)


Question
The entropy \(H\) of a source is equal to the expected (i.e. average) information content of its messages: [...]
Answer
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Question
The entropy \(H\) of a source is equal to the expected (i.e. average) information content of its messages: [...]
Answer

\(\displaystyle H=\sum\limits^{N}_{i=1}p_{i}k_{i}=\sum\limits^{N}_{i=1}p_{i}\log_{2}(1/p_{i})\)

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Definition of Information Entropy
The entropy \(H\) of a source is equal to the expected (i.e. average) information content of its messages: \(\displaystyle H=\sum\limits^{N}_{i=1}p_{i}k_{i}=\sum\limits^{N}_{i=1}p_{i}\log_{2}(1/p_{i})\)

Summary

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Details

No repetitions


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