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Data Processing and Analysis in Chimestry

Data Processing and Analysis in Chimestry

Code	14957
Year	3
Semester	S1
ECTS Credits	6
Workload	T(30H)/TP(30H)
Scientific area	Chemistry
Entry requirements	None
Learning outcomes	This course aims to provide students with the skills / knowledge necessary to use generalist (Microsoft Excel) and dedicated (IBM SPSS Statistics) software to carry out common statistical analyzes procedures within the scope of measurements and experimentation carried out in the context of Chemistry, namely: - identify, minimize and quantify sources of error in analytical determinations with a view to increasing their reliability; - plan, implement and process the results of analytical determinations based on calibration curves or the standard addition method; - presentation and organization of experimental data in tables and graphs; - ability to substantiate conclusions and issue technical opinions based on the statistical analysis of available experimental data;
Syllabus	1. Fundamentals of Statistics Nature and context of analytical problems Identification and classification of variables Population vs Sample and Statistics vs Parameters Descriptive statistics Point estimate vs Confidence Intervals Normal Distribution, t-Student Distribution, Binominal and Chi-Square Unilateral and bilateral hypothesis testing P-value 2. Use of SPSS and Excel Presentation of the software Descriptive statistics Normality study of quantitative variables Association tests between qualitative variables Correlation evaluation Tests on the mean and median of a sample Tests on the mean and median of two independent samples Tests on the mean and median of two paired samples ANOVA (Tests on the mean and median of three or more independent samples) Tests on the mean and median of three or more paired samples 3. Calibration and Regression Analytical determinations through calibration curves vs standard addition method Simple and weighted linear regression
Main Bibliography	João Marôco, "Análise Estatística com o SPSS Statiscs”, Edição ReporterNumber, 6ª Edição, 2014. Natália Cordeiro e Alexandre Magalhães, "Introdução à Estatística – Uma perspectiva química", Lidel, 2004. "Guia rápido do IBM SPSS Statistics 25”, Ed. IBM Corporation. Thomas P. Ryan, "Modern Engineering Statistics", Wiley-Interscience, 2007 Philip Rowe, "Essential Statistics for the Pharmaceutical Sciences", Willey, 2007 Douglas A. Skoog, Donald M. West and F. James Holler, "Analytical Chemistry: An introduction", Saunders College Publishing, 5th ed., 1990 J.C. Miller and J.N. Miller, "Statistical for analytical chemistry", Ellis Horwood and Prentice Hall, 1984 Sidney Tyrrel, "SPSS: Stats Practically short and Simple”, Ed. Bookboon.com, 2009 Trevor Hastie, Robert Tibshirani and Jerome Friedman, "The elements of statistical learning”, Springer, 2th Ed., 2017. Sigmund Brandt, "Data analysis; statistical and computational methods for scientists and engineers”, Springer, 4 th Ed., 2014
Language	Portuguese. Tutorial support is available in English.