| NKEB45 |
Statistical Tools for Chemical Analysis, 6 ECTS credits.
/Statistiska verktyg för kemisk analys/
For:
KA
Kem
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Prel. scheduled
hours: 40
Rec. self-study hours: 120
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Area of Education: Science
Main field of studies: Chemistry, Chemical Engineering
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Advancement level
(G1, G2, A): G1
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Aim:
This course aims at giving the student a basic knowledge in statistical methods for use in chemistry related areas. It also trains the ability to use modern spreadsheet software for calculations and data presentation. After the course the student should:
- be able to assess and handle uncertainties and errors related to chemical experiments
- know how to collect, organize, evaluate, interpret and present data obtained from chemical analysis
- know basic terminology in statistics and analytical chemistry
- know basic statistics for data evaluation and be able to calculate and interpret the results of descriptive statistics and significance tests
- know the basics of quality assurance and be able to use tools to monitor the quality of analytical measurements
- be able to perform linear regression calculations in order to evaluate correlation and to construct calibration curves with estimates of errors
- be able to use a spreadsheet software, for instance Microsoft Excel, for calculations using stastical methods and for data presentation
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
General Chemistry
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Supplementary courses:
Analytical Chemistry
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Organisation:
Lectures, calculation exercises, laboratory exercises, computer exercises.
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Course contents:
Basic terminology within analytical chemistry and statistics, statistics of repeated measurements, mean and standard deviation, confidence limits, statistical tests, ANOVA, calibration and linear regression, error propagation, methods for quality control. Microsoft Excel for calculations and data presentation, as well as for statistic evaluation of data from chemical experiments.
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Course literature:
Miller&Miller, Statistics and Chemometrics for Analytical Chemistry (6th ed.) Additional literature provided by the teachers.
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Examination: |
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Written examination
Laboratory work
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4 ECTS
2 ECTS
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Course language is Swedish.
Department offering the course: IFM.
Director of Studies: Magdalena Svensson
Examiner: Maria Lundqvist
Course Syllabus in Swedish
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