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.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.2: Expected Value And Variance Of Continuous Random Variables
Problem 10E
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1. When approximating the binomial and Poisson distribution with the
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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