| Code |
8631
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| Year |
2
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| Semester |
S1
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| ECTS Credits |
6
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| Workload |
T(30H)/TP(30H)
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| Scientific area |
Industrial Chemistry
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Entry requirements |
Students need to have previous basic knowledge of mathematics required to realize calculus, understand the concept of mathematical function and variables under the scope of statistical and probability calculations.
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Mode of delivery |
Presencial teaching (with frequency of theoretical and practical lessons) --
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Work placements |
Not applicable
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Learning outcomes |
This course aims to enable students with a set of skills/knowledge corresponding to acquisition of the following
capabilities to:
analyze, evaluate and present experimental results in statistical terms;
identify, quantify and minimize origins and sources of error in chemistry;
demonstrate the ability to intervene in the procedures for measurement and quantification commonly used inlaboratories in order to increase their reliability;
demonstrate the ability to interpret and compare experimental results obtained in various contexts, before and after being subjected to statistical analysis;
within the analyzes of probabilities be able to calculate the possibility to obtain certain results and experimental measurements using previous measurement or results;
plan, deliver and treat the results of analytical determinations based on calibration curves or by standard addition method.
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Syllabus |
1. Application of statistics to Chemistry. Introduction and Review of Concepts
Nature and context of analytical problems.
Importance of statistical treatment of experimental results.
Experience planning.
Review of concepts: expression of concentration.
Presentation of statistical tests in Excel
2. Probabilities and Combinatorial Analysis
Probability and most common distributions (discrete and continuous): normal, t, chi-square and F.
Hypothesis tests: the null and alternative hypothesis, type I and II errors, F and t test (paired and unpaired).
3. Errors
Errors in analytical chemistry (origins and consequences).
Types of errors (random and systematic).
Mean and standard deviation.
Distribution of errors.
Presentation of results and confidence intervals.
Propagation of random and systematic errors.
4. Analysis of Variance: ANOVA
Comparison of various averages.
Analysis of variance: one-way and two-way.
Other significance tests: t-test, F-test, outliers and
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Main Bibliography |
1. Main titles (in native language)
Natália Cordeiro e Alexandre Magalhães
Introdução à Estatística – Uma perspectiva química
Lidel
2004/1ª
Bento José Ferreira Murteira
Probabilidade e Estatística
MacGraw-Hill Portugal
1979/1ª
António Robalo
Estatística (vol I, II e III)
Edições Sílabo
1991/3ª
2. Complementary titles(in english)
Thomas P. Ryan
Modern Engineering Statistics
Wiley-Interscience
2007/1ª
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
1990/5ed.
J.C. Miller and J.N. Miller
Statistical for analytical chemistry
Ellis Horwood and Prentice Hall
1984
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Language |
Portuguese. Tutorial support is available in English.
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