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Cursus: NWI-MOL028
NWI-MOL028
Statistics
Cursus informatieRooster
CursusNWI-MOL028
Studiepunten (ECTS)3
CategorieBA (Bachelor)
VoertaalEngels
Aangeboden doorRadboud Universiteit; Faculteit der Natuurwetenschappen, Wiskunde en Informatica; Moleculaire Wetenschappen;
Docenten
Docent
dr. J. Gerretzen
Overige cursussen docent
Docent
dr. J.J. Jansen
Overige cursussen docent
Coördinator
dr. J.J. Jansen
Overige cursussen docent
Contactpersoon van de cursus
dr. J.J. Jansen
Overige cursussen docent
Collegejaar2016
Periode
KW1  (29-08-2016 t/m 06-11-2016)
Aanvangsblok
KW1
Onderwijsvorm
voltijd
Opmerking-
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersJa
VoorinschrijvingNee
WachtlijstNee
Plaatsingsprocedure-
Cursusdoelen

At the end of this course, you are able to:

  • translate univariate problems from scientific practice to statistically meaningful questions and solutions
  • perform the following statistical analyses in a correct way, using univariate data:
    • parametric hypothesis test
    • non-parametric hypothesis test
    • linear regression
    • Analysis of Variance (ANOVA)
  • construct a simple experimental design to evaluate the influence of multiple factors on the outcome of an experiment
  • interpret the output from statistical software, given as p-values or figures
Inhoud

Repeated measurements often do not lead to identical results due to the occurrence of random errors, already discussed during Chemical Analysis (NWI-MOL001). Therefore, a basic knowledge of statistics is indispensable for every student in the molecular sciences. Statistics may for instance be used to draw statistically founded conclusions regarding the influence of experimental conditions (for example "A higher temperature leads to a significantly higher yield"). Also, statistics provides ways to set up a set of experiments such that the most information is obtained with the least amount of effort ('Design of experiments').

When performing experiments and gathering results yourself, as you will do frequently during your studies, it is of the utmost importance to correctly interpret these results. During this course, you will learn to draw conclusions based on the outcome of statistical tests. Most of these are based on univariate data: data where for each object/sample 1 property has been measured. Statistical analyses for data with more than 1 property per object/sample will be discussed during the lectures. We will also take a look at different experimental designs.

The course consists of lectures and workshops. Each week starts with a short workshop in which you get acquainted with the theory using multiple-choice questions. You are expected to have studied the reader prior to this workshop; during the workshop there is not much time to read and study the reader. During the lecture, which follows the introductory workshop, some aspects of that week’s subject will be explained in more detail or deepened. Moreover, extensions to multivariate statistics will be provided. In the second workshop, you will perform statistical analyses yourself and draw conclusions based their outcome.

Bijzonderheden
You should prepare yourself for each course week by studying the relevant chapter or chapters from the reader.
Onderwerpen
• Distributions
• Confidence intervals
• Statistical tests (both parametric and non-parametric)
• Correlation and regression
• Analysis of Variance (ANOVA)
• Experimental design
Toetsinformatie
Written exam
Voorkennis
Chemical Analysis (NWI-MOL001)This is a course in the theme 'Methods'.
Literatuur
Obligatory:

• Reader and exercises (will be distributed via Blackboard)

Recommended:

• James N. Miller en Jane C. Miller, Statistics and Chemometrics for Analytical Chemistry, Prentice Hall, 6th ed., ISBN-13 978-0-273-73042-2
• Roxy Peck, Chris Olsen, Jay Devore, Introduction to Statistics and Data Analysis, Brooks/Cole, 4th ed. (International version), ISBN-13 978-0-8400-6839-2
Werkvormen

• 8 hours lecture
• 24 hours problem session
• 52 hours individual study period
Verplicht materiaal
Dictaat
Reader and exercises (will be distributed via Blackboard)
Aanbevolen materiaal
Boek
James N. Miller en Jane C. Miller, Statistics and Chemometrics for Analytical Chemistry, Prentice Hall, 6th ed
ISBN:9780273730422
Werkvormen
Computerpracticum

Hoorcollege

Werkcollege

Toetsen
Tentamen
Weging1
GelegenhedenBlok KW1, Blok KW2

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