Find out how performing significance tests with JMP can provide insights into performance variations between any two products, processes or materials. In this chapter from Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide, Brenda S. Ramírez and José G. Ramírez present a case study illustrating fundamental techniques that can be applied to many industries.
In this chapter, the authors consider the case of a chemistry lab tasked with regularly measuring the average atomic mass of silver samples. Since the lab in question had two mass spectrometers – a precisely calibrated new model and a slightly older model – the chemists needed to determine whether both instruments were performing at the same level. Though the problem in this case is specific, the solution illustrates fundamental techniques that can span industries. In this chapter, the authors provide step-by-step instructions on how to use JMP to perform significance tests to compare average performance and performance variation of two products, processes or materials.