    Cursus   NWIMOL028  Categorie   BA (Bachelor)  Voertaal   Engels  Aangeboden door   Radboud Universiteit; Faculteit der Natuurwetenschappen, Wiskunde en Informatica; Moleculaire Wetenschappen;  Docenten     Collegejaar   2018   Periode   KW1  (03092018 t/m 04112018) 
 Aanvangsblok   KW1  
 Onderwijsvorm   voltijd  
 Opmerking     Inschrijven via OSIRIS   Ja  Inschrijven voor bijvakkers   Ja  Voorinschrijving   Nee  Wachtlijst   Nee  Plaatsingsprocedure    
     
At the end of this course, you will be able to:
 Describe univariate data obtained from (bio)chemical experiments with statistical measures
 Perform the following statistical analyses in a correct way, to extract information from such data:
 parametric hypothesis test
 nonparametric hypothesis test
 linear regression
 Analysis of Variance (ANOVA)
 Construct a Design of Experiments to evaluate the influence of multiple factors on the outcome of an experiment
 Infer conclusions about the experiment based on pvalues or figures obtained from statistical analyses


Chemical measurements may often contain random errors due to experimentation and measurement, already discussed during Chemical Analysis (NWIMOL001). Statistics needs to be used to draw quantitative conclusions on the likelihood that differences in measurements are caused by the conditions imposed by the experiment (for example "A higher temperature leads to a higher yield of the reaction"). 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'). Therefore, statistics as a way to formally design and interpret experiments is indispensable knowledge for any chemist.
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 lecture and is followed by a workshop on the same subject. The workshop starts with multiplechoice questions to introduce the theoretical concepts and then you will perform statistical analyses yourself and draw conclusions based their outcome. You are expected to have studied the reader prior to every lecture/workshop; during the workshop there is not much time to read and study the reader.





You should prepare yourself for each course week by studying the relevant chapter or chapters from the reader. 
• Distributions • Confidence intervals • Statistical tests (both parametric and nonparametric) • Correlation and regression • Analysis of Variance (ANOVA) • Experimental design 
Chemical Analysis (NWIMOL001A). This is a course in the theme 'Methods'. 
   Verplicht materiaalDictaatReader and exercises (will be distributed via Blackboard) 


Aanbevolen materiaalBoekJames N. Miller en Jane C. Miller, Statistics and Chemometrics for Analytical Chemistry, Prentice Hall, 6th ed 
ISBN  :   9780273730422 


WerkvormenComputerpracticum
 Hoorcollege
 Werkcollege

 ToetsenTentamenWeging   1 
Toetsvorm   Tentamen 
Gelegenheden   Blok KW1, Blok KW2 


  
 
 