8. Suppose that 20% of the articles produced by a machine are defective, the defectives occurring at random during production. Using the normal distribution for determining approximations, a. What is the approximate probability that if a sample of 400 items is taken from the production, more than 100 will be defective? b. For what value of K'is the probability 0.95 that the number of defectives in the sample will fall within 80 ± K ? Fou
8. Suppose that 20% of the articles produced by a machine are defective, the defectives occurring at random during production. Using the normal distribution for determining approximations, a. What is the approximate probability that if a sample of 400 items is taken from the production, more than 100 will be defective? b. For what value of K'is the probability 0.95 that the number of defectives in the sample will fall within 80 ± K ? Fou
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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![8. Suppose that 20% of the articles produced by a
machine are defective, the defectives occurring
at random during production. Using the normal
distribution for determining approximations,
a. What is the approximate probability that if
a sample of 400 items is taken from the
production, more than 100 will be
defective?
b. For what value of Kis the probability 0.95
that the number of defectives in the
sample will fall within 80 ± K?
Fo](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff31c5cb7-e8bd-4794-860e-d14185776fe4%2F319fbf71-a28f-4775-8ce0-f463b81736f0%2F0paunjf_processed.png&w=3840&q=75)
Transcribed Image Text:8. Suppose that 20% of the articles produced by a
machine are defective, the defectives occurring
at random during production. Using the normal
distribution for determining approximations,
a. What is the approximate probability that if
a sample of 400 items is taken from the
production, more than 100 will be
defective?
b. For what value of Kis the probability 0.95
that the number of defectives in the
sample will fall within 80 ± K?
Fo
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