Suppose you flip a fair coin 10,000 time how can you characterize the distribution of the occurrence of head?(adsbygoogle = window.adsbygoogle || []).push({});

From the textbook, it says that P[head>n/2 + k√n] < e^(-k^2)/2, why is that and what is the derivation? What theorem is this, we had only learn Bernoulli distribution and Chebyshev so far, it seem odd that the textbook would jump to such a conclusion without rigorous proof.

Thanks in advance

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# Regarding probability bound of flip coins

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