nology (NIST) supplies "standard materials" whose physical propertie aL6 Measuring Melting Point. The National Institute of Standards and Tec-ment is exactly correct. NIST knows the variability of its measurements vensupposed to be known. For example, you can buy from NIST a copper samplewhose melting point is certified to be 1084.80°C. Of course, no measurewell, so it is quite realistic to assume that the population of all measuremensInclude in youritevalue z* marked on the axis. worarewhose melting point is certified to be 1084.80°C. Of course n samplement is exactly correct. NIST knows the variability of its measuremenwell so it is quite realistic to assume that the population of all measurenof the same sample has the Normal distribution with mean µ egual to d= 0.25°C. Here are six meatotrue melting point and standard deviation o =ments on the same copper sample, which is supposed to have melting nim1084.80°C: M MELTsure1084.55 1084.891085.02 1084.791084.69 1084.86NIST wants to give the buyer ofinterval for its true melting point. What is this interval? Follow the fourstr;process as illustrated in Example 16.3. TBthis copper sample a 90% confidene

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Measuring Melting Point. The National Institute of Standards and Ted nology (NIST) supplies "standard materials" whose physical properties ae supposed to be known. For example, you can buy from NIST a copper sample whose melting point is certified to be 1084.80°C. Of course, no measur value z* mark ment is exactly correct. NIST knows the variability of its measurements ven well, so it is quite realistic to assume that the population of all measu of the same sample has the Normal distribution with mean u eouale true melting point and standard deviation o = ments on the same copper sample, which is supposed to have melting poi 1084.80°C: ln MELT :0.25°C. Here are six measu 1084.55 1084.89 1085.02 1084.79 1084.69 1084.86 NIST wants to give the buyer of this copper sample a 90% confide nterval for its true melting point. What is this interval? Follow the four- rocess as illustrated in Example 16.3.

Measuring Melting Point. The National Institute of Standards and Ted nology (NIST) supplies "standard materials" whose physical properties ae supposed to be known. For example, you can buy from NIST a copper sample whose melting point is certified to be 1084.80°C. Of course, no measur value z* mark ment is exactly correct. NIST knows the variability of its measurements ven well, so it is quite realistic to assume that the population of all measu of the same sample has the Normal distribution with mean u eouale true melting point and standard deviation o = ments on the same copper sample, which is supposed to have melting poi 1084.80°C: ln MELT :0.25°C. Here are six measu 1084.55 1084.89 1085.02 1084.79 1084.69 1084.86 NIST wants to give the buyer of this copper sample a 90% confide nterval for its true melting point. What is this interval? Follow the four- rocess as illustrated in Example 16.3.

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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