9. The compressive strength of samples of cement can be modeled by a normal distribution with a mean of 6000 kilograms per square centimeter and a standard deviation of 100 kilograms per square centimeter. (a) What is the probability that a sample's strength is less than 6250 kg/cm² ? (b) What is the probability that a sample's strength is between 5800 and 5900 kg/cm2 ? (c) What strength is exceeded by 95% of the samples?

9. The compressive strength of samples of cement can be modeled by a normal distribution with a mean of 6000 kilograms per square centimeter and a standard deviation of 100 kilograms per square centimeter. (a) What is the probability that a sample's strength is less than 6250 kg/cm² ? (b) What is the probability that a sample's strength is between 5800 and 5900 kg/cm2 ? (c) What strength is exceeded by 95% of the samples?

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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9. The compressive strength of samples of cement can be modeled by a normal distribution with a
mean of 6000 kilograms per square centimeter and a standard deviation of 100 kilograms per square
centimeter.
(a) What is the probability that a sample's strength is less than 6250 kg/cm? ?
(b) What is the probability that a sample's strength is between 5800 and 5900 kg/cm² ?
(c) What strength is exceeded by 95% of the samples?

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