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5. A sample of n = 2000 parts is pulled from a process every 8 hours and inspected. If fewer than 6 defective parts are found the process is left to run (i.e. c = 5). Otherwise it is stopped until a problem can be found. If the process fraction defective is p = 0.001: a. Find the exact probability of letting the process run. (Hint: Use Calc> Probability Distributions> Binomial in MINITAB or Excel's binomdist() function from the list of statistical functions.) b. Find the approximate probability of letting the process run using the Poisson approximation. c. Find the error of the estimate.

5. A sample of n = 2000 parts is pulled from a process every 8 hours and inspected. If fewer than 6 defective parts are found the process is left to run (i.e. c = 5). Otherwise it is stopped until a problem can be found. If the process fraction defective is p = 0.001: a. Find the exact probability of letting the process run. (Hint: Use Calc> Probability Distributions> Binomial in MINITAB or Excel's binomdist() function from the list of statistical functions.) b. Find the approximate probability of letting the process run using the Poisson approximation. c. Find the error of the estimate.

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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= 5. A sample of n 2000 parts is pulled from a process every 8 hours and inspected. If fewer than 6 defective parts are found the process is left to run (i.e. c = 5). Otherwise it is stopped until a problem can be found. If the process fraction defective is p = 0.001: a. Find the exact probability of letting the process run. (Hint: Use Calc> Probability Distributions> Binomial in MINITAB or Excel's binomdist() function from the list of statistical functions.) b. Find the approximate probability of letting the process run using the Poisson approximation. c. Find the error of the estimate.
Transcribed Image Text:= 5. A sample of n 2000 parts is pulled from a process every 8 hours and inspected. If fewer than 6 defective parts are found the process is left to run (i.e. c = 5). Otherwise it is stopped until a problem can be found. If the process fraction defective is p = 0.001: a. Find the exact probability of letting the process run. (Hint: Use Calc> Probability Distributions> Binomial in MINITAB or Excel's binomdist() function from the list of statistical functions.) b. Find the approximate probability of letting the process run using the Poisson approximation. c. Find the error of the estimate.
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