Median, mode, normal distribution

In summary, the conversation discusses a digital communication channel where the number of bits received in error can be modeled by a binomial random variable with a bit error rate of 1×〖10〗^(−5). The question is about the probability of having more than 150 errors occur out of 16 million transmitted bits, as well as finding the median and mode of the distribution. The person asking for help is prompted for their current understanding of the binomial distribution and how to handle large numbers of samples.
  • #1
wajeehayas
2
0
In a digital communication channel, assume that the number of bits received in error can be modeled by a binomial random variable, and assumed that a bit is received in error is 1×〖10〗^(−5) . if 16 million bits are transmitted,
What is the probability that more than 150 errors occur?
Find the median and mode of the distribution.
help needed to solve this :)
 
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  • #2
wajeehayas said:
In a digital communication channel, assume that the number of bits received in error can be modeled by a binomial random variable, and assumed that a bit is received in error is 1×〖10〗^(−5) . if 16 million bits are transmitted,
What is the probability that more than 150 errors occur?
Find the median and mode of the distribution.
help needed to solve this :)

Hi wajeehayas!

What have you tried so far? What do you know about the binomial distribution? Here we have a large number of samples. Have you read or heard about how we can handle situations like that?
 
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