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1. When approximating the binomial and Poisson distribution with the normal distribution Why do we use the continuity correction for discrete random variables? 2. he number of calls X a customer support center receives in a day follows a Poisson distribution with mean of λ = 75 calls. Use the normal approximation with continuity correction to estimate the probability that the call center receives more than 70 calls and less than 90 calls 3. The manufacturing of semiconductor chips produces 3% defective chips. Assume that there are 1200 independent chips. Approximate the probability that defective chips are between 25 and 35 but not including 25.

1. When approximating the binomial and Poisson distribution with the normal distribution Why do we use the continuity correction for discrete random variables? 2. he number of calls X a customer support center receives in a day follows a Poisson distribution with mean of λ = 75 calls. Use the normal approximation with continuity correction to estimate the probability that the call center receives more than 70 calls and less than 90 calls 3. The manufacturing of semiconductor chips produces 3% defective chips. Assume that there are 1200 independent chips. Approximate the probability that defective chips are between 25 and 35 but not including 25.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1. When approximating the binomial and Poisson distribution with the normal distribution Why do we use the continuity correction for discrete random variables?

2. he number of calls X a customer support center receives in a day follows a Poisson distribution with mean of λ = 75 calls. Use the normal approximation with continuity correction to estimate the probability that the call center receives more than 70 calls and less than 90 calls

3. The manufacturing of semiconductor chips produces 3% defective chips. Assume that there are 1200 independent chips. Approximate the probability that defective chips are between 25 and 35 but not including 25.

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