Introduction
In the past, great chemist had faced various challenges, which include the necessity to analyse a reasonable large number of samples in so many monitoring effort so as to ensure representative coverage, selection of appropriate method out of many known suitable analytical techniques, the problem of variations in reported values from different methodologies employed in analysing the same samples, coping with different measured values reported by the same operation in replicate and un thinkable interrelationship that could exist among the data generated. These problems and many others had forced scientist to just collecting ‘’base line’’ data for referral use, against which the future can be assessed. However, it is now being realise that, with the statistical analytical tools various problems could be solved. Statistics enables analytical chemist to accept conclusions that have high probability of being correct and to reject conclusions that are doubtful. Hence statistical treatment of data helps in ascertaining the significance and integrity of values reported.
Project, T. (2022). CHM 212: ANALYTICAL CHEMISTRY. Afribary. Retrieved from https://track.afribary.com/works/chm-212-analytical-chemistry
Project, The MasterMind "CHM 212: ANALYTICAL CHEMISTRY" Afribary. Afribary, 14 Jul. 2022, https://track.afribary.com/works/chm-212-analytical-chemistry. Accessed 23 Nov. 2024.
Project, The MasterMind . "CHM 212: ANALYTICAL CHEMISTRY". Afribary, Afribary, 14 Jul. 2022. Web. 23 Nov. 2024. < https://track.afribary.com/works/chm-212-analytical-chemistry >.
Project, The MasterMind . "CHM 212: ANALYTICAL CHEMISTRY" Afribary (2022). Accessed November 23, 2024. https://track.afribary.com/works/chm-212-analytical-chemistry