Solve the following problems completely. Box and round your final answer up to 4 decimal places, with correct units. The compressive strength of samples of with a mean of 6000 kilograms per square centimeter and a standard deviation of 100 kilograms per square centimeter. cement can be modeled by a normal distribution 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?

MATLAB: An Introduction with Applications
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3.

Solve the following problems completely. Box and round your final answer up to 4 decimal
places, with correct units.
modeled by
The compressive strength of samples
with a mean of 6000 kilograms per square centimeter and a standard deviation of 100 kilograms per square centimeter.
of cement
can
be
a normal distribution
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?
Transcribed Image Text:Solve the following problems completely. Box and round your final answer up to 4 decimal places, with correct units. modeled by The compressive strength of samples with a mean of 6000 kilograms per square centimeter and a standard deviation of 100 kilograms per square centimeter. of cement can be a normal distribution 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?
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