nology (NIST) supplies "standard materials" whose physical propertie a L6 Measuring Melting Point. The National Institute of Standards and Tec- ment is exactly correct. NIST knows the variability of...

Extracted text: nology (NIST) supplies "standard materials" whose physical propertie a L6 Measuring Melting Point. The National Institute of Standards and Tec- ment is exactly correct. NIST knows the variability of its measurements ven 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 measure well, so it is quite realistic to assume that the population of all measuremens Include in your ite value z* marked on the axis. wor are whose melting point is certified to be 1084.80°C. Of course n sample ment is exactly correct. NIST knows the variability of its measuremen well so it is quite realistic to assume that the population of all measuren of the same sample has the Normal distribution with mean µ egual to d = 0.25°C. Here are six mea to true melting point and standard deviation o = ments on the same copper sample, which is supposed to have melting nim 1084.80°C: M MELT sure 1084.55 1084.89 1085.02 1084.79 1084.69 1084.86 NIST wants to give the buyer of interval for its true melting point. What is this interval? Follow the fourstr; process as illustrated in Example 16.3. TB this copper sample a 90% confidene