Ateneo - UPO

The course aims to introduce the student to the theory and use of statistical methods useful in the chemical laboratory. See the “Extended Program” section for more detailed information.

Notes and other material provided by the teacher.

Knowledge: to provide the student with the mastery of the necessary statistical knowledge in chemistry and the principles of experimental design. Ability to choose the correct statistical test in situations most often found in chemistry. Ability to establish a full factorial design and to draw conclusions correctly. Skills: knowing how to apply the correct statistical test to practical situations; knowing how to establish a full factorial design and treat the results correctly. Judgement ability: ability to draw the correct conclusions from the application of statistical tests and from the results obtained from full factorial designs. Communication skills: knowing how to report the result of a statistical test and of an experimental design correctly.

None

Lectures, Powerpoint presentations, simulations and exercises, also with the PC.

The learning during the course will be evaluated by exercises and open discussions.
Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/servicesstudents-physical-or-learning-disabilities.
Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.

Written exam consisting of 5-8 questions aimed at evaluating theoretical knowledge (open questions), skills (solving exercises), judgment skills (providing a choice or critical judgment).
To pass the test, the student must at least demonstrate knowledge and understanding of the basic notions of statistical tests and their application and of experimental design.
Excellence can be achieved by demonstrating solid theoretical and practical foundations in problem solving and demonstrating the ability to compare and be critical.

Random variables and statistical indicators. Statistical dependence and independence and their implications. Probability distributions (normal, Student's t, Fisher's F, Chi square, Poisson, binomial) and their use. The statistical tests (structure, purpose, alpha and beta errors). Parametric and non-parametric tests (introduction to the various tests and examples of their use). Correlation between variables and autocorrelation. ANOVA. Application of tests to real situations to make decisions in the laboratory based on statistical significance and for the validation of analytical methods. Experimental approaches to evaluate the significance of effects. Introduction to experimental design, analysis of the problem, two-levels full factorial designs.
Exercises with and without the PC.

Knowledge and Understanding
- knowledge and mastery of the statistical concepts necessary in chemistry
- knowledge of the main statistical tests that are most often found in chemistry
- knowledge of the principles of experimental design and of the use of full factorial designs

Ability to apply Knowledge and Understanding
- knowing how to apply the correct statistical test to practical situations
- knowing how to establish a full factorial design and how to draw the correct conclusions from its appplication

Communication skills
- knowing how to use an appropriate vocabulary in relation to the topics covered in the course
- knowing how to report the result of a statistical test correctly
- knowing how to report the results of a full factorial design

Judgment skills
- knowing how to choose the correct statistical test in situations that are most often found in chemistry
- knowing how to draw the correct conclusions from the application of statistical tests.
- knowing how to draw the correct conclusions from the results of a full factorial design

Learning ability
- knowing how to use the acquired knowledge to solve new problems