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?
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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The compressive strength of samples of cement can be modeled by a
(a) What is the
?
(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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