Open AccessUnlocking Scientific Knowledge with Statistical Tools in JMP® : Benefits and challenges of new statistical tools
Author(s) -
Pilar Gómez Jiménez,
Andrew Fish,
Cristina Estruch Bosch
Publication year - 2022
Publication title -
johnson matthey technology review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.571
H-Index - 49
ISSN - 2056-5135
DOI - 10.1595/205651322x16445719154043
Subject(s) - statistical analysis , value (mathematics) , data science , computer science , term (time) , management science , engineering , mathematics , statistics , physics , machine learning , quantum mechanics
The value of using statistical tools in the scientific world is not new, although the application of statistics to disciplines such as chemistry creates multiple challenges that are identified and addressed in this article. The benefits, explained here with real examples, far outweigh any short-term barriers in the initial application, overall saving resources and obtaining better products and solutions for customers and the world. The accessibility of data in current times combined with user-friendly statistical packages, such as JMP ® , makes statistics available for everyone. The aim of this article is to motivate and enable both scientists and engineers (referred to subsequently in this article as scientists) to apply these techniques within their projects.