normally distributed with a mean of 15.2 ounces. You find that 1.5% of boxes weigh more than the upper specification limit. What is the probability that a randomly chosen box has a weight that lies below the lower specification limit?

normally distributed with a mean of 15.2 ounces. You find that 1.5% of boxes weigh more than the upper specification limit. What is the probability that a randomly chosen box has a weight that lies below the lower specification limit?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Question

You're a production engineer at Norman's fourth-largest cracker factory, and you've set the upper and lower specification limits for the weight of a box of crackers to be 14.9 and 16.5 ounces, respectively (boxes falling outside of those weights must be discarded). The weight of cracker boxes is normally distributed with a mean of 15.2 ounces. You find that 1.5% of boxes weigh more than the upper specification limit. What is the probability that a randomly chosen box has a weight that lies below the lower specification limit?

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You're a production engineer at Norman's fourth-largest cracker factory, and you've set the upper and lower specification limits for the weight of a box of crackers to be 14.9 and 16.5 ounces, respectively (boxes falling outside of those weights must be discarded). The weight of cracker boxes is normally distributed at a mean of 15.2 ounces. You find that 1.5% of boxes weigh more than the upper specification limit.

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