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Interval of Pulses in a Communications Channel

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The number of pulses a communications channel receives per second can be modeled with a Poisson distribution with a rate parameter of 2.0.

a. What is the probability the channel receives at least 2 pulses in a one second interval?

b. What is the probability that no pulses are received in a 5 second interval?

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Solution Summary

This solution uses the Poisson distribution to find the probability that the channel receives at least 2 pulse in a one second interval and that no pulses are received in a 5 second interval. All steps are shown with brief explanations.

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The number of pulses a communications channel receives per second can be modeled with a Poisson distribution with a rate parameter of 2.0.

a. What is the probability the channel receives at least 2 ...

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  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
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  • "Thank you very much for your valuable time and assistance!"
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