From the course: Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications
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Predicting call quality using binomial models - Python Tutorial
From the course: Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications
Predicting call quality using binomial models
(bright music) - [Instructor] So we have a telecom network where we have to monitor the call quality. Now, we have some 100 calls made and we have given that there is a 95% of the calls which are good-quality call. Perfect, so 95 out of 100 are good-quality calls. We want to understand that what is the probability that exactly 90 calls have good quality? So here we are looking at the binary form. We just want to understand that 90 calls have good quality. Now, in that case, this is a formula, again, for the probability for 90 out of 100 calls to be a good-quality call. What we need to find out is out of these 100, so 95 is the good-quality calls that is given. Five is the bad-quality calls that is given. We want to evaluate that exactly 90 would be having a good-quality call, so it may belong to 90, may belong to these ones, or these ones, or a mix of both. Maybe, out of 90, maybe 88 belongs to 95 or two belongs to these five calls. But who knows? For that, we need to calculate it…
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