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![7. [2.5] A binary (0s and 1s) message of length n bits is sent over a noisy channel. The
probability that any particular bit is received incorrectly is p . Use a continuity correction and a
normal approximation, to approximate the probability that between 10 and 20 errors occur
(including 10 and 20). Express your answer in terms of , the cdf of the Standard Normal
distribution.](https://image.slidesharecdn.com/7-2-5-abinary0sand1smessageoflengthnbitsissentovera-230224165048-c7d8f2e6/75/7-2-5-A-binary-0s-and-1s-message-of-length-n-bits-is-sent-over-a-docx-1-2048.jpg)
The document discusses the probability of bit errors in a binary message of length n sent over a noisy channel, specifically focusing on approximating the likelihood of experiencing between 10 and 20 errors. It suggests the use of a continuity correction and normal approximation, expressing the result in terms of the cumulative distribution function (cdf) of the standard normal distribution.
![7. [2.5] A binary (0s and 1s) message of length n bits is sent over a noisy channel. The
probability that any particular bit is received incorrectly is p . Use a continuity correction and a
normal approximation, to approximate the probability that between 10 and 20 errors occur
(including 10 and 20). Express your answer in terms of , the cdf of the Standard Normal
distribution.](https://image.slidesharecdn.com/7-2-5-abinary0sand1smessageoflengthnbitsissentovera-230224165048-c7d8f2e6/75/7-2-5-A-binary-0s-and-1s-message-of-length-n-bits-is-sent-over-a-docx-1-2048.jpg)