Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
504003422008EVALUATION OF EXPERIMENTAL RESULTSElective363
Level of Course Unit
First Cycle
Language of Instruction
Turkish
Objectives of the Course
It is impossible to perform a chemical analysis in such a way that the results are totally free of errors or uncertainties. Every measurement is influenced by many uncertainties. In this course we deal with the nature of experimental errors and their effects on analytical results. Our goal is to keep these errors at a tolerable level and to estimate the reliability of experimental data. It will be expressed how to report results of any chemical analyses. Some useful statistical methods will be given for evaluation of experimental results.
Name of Lecturer(s)
Doç. Dr. Özgül Özdestan Ocak
Learning Outcomes
1To learn the source of errors in chemical analysis
2To learn the statistical evaluation of random errors
3To learn the standard deviation of computed results
4To learn the confidence limits and confidence interval
5To learn the comparison of an experimental mean with a true value
6To learn the comparison of two experimental means
7To learn the F test and Q test
8To learn the estimation of detection limits
9To learn the least-squares method for deriving calibration plots
10To learn the paired t-test
11To learn the one-way ANOVA
12To learn the recovery, internal standard and standard addition methods
Mode of Delivery
Face to Face
Prerequisites and co-requisities
Analytical Chemistry
Recommended Optional Programme Components
None
Course Contents
Definition of precision and accuracy terms. Systematic errors. The nature of random errors. The statistical treatment of random errors. The standard deviation of computed results. Methods for reporting computed data. Confidence limits and confidence interval. Estimation of detection limits. Comparison of an experimental mean with a true value. Comparison of two experimental means. F test and Q test. The least-squares method for deriving calibration plots. Paired t-test. Use of regression lines for comparing two experimental means. Comparison of several experimental means by the one-way ANOVA. The application of control charts. Estimation of recovery. Internal standard and standard addition methods.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Errors in chemical analysis
2Systematic errors, methods for eliminating systematic errors
3Random errors, statistical treatment of random errors
4The standard deviation of computed results
5Methods for reporting computed data, the significant figure convention
6Comparison of an experimental mean with a true value
7Comparison of two experimental means (t-test)
8Midterm
9Use of regression lines for comparing two experimental means
10Paired t-test
11F test and Q test
12Estimation of detection limits
13The least-squares method
14Comparison of several experimental means by the one-way ANOVA
15Estimation of recovery, internal standard and standard addition methods
16Final
Recommended or Required Reading
Required Reading: 1. Kılıç, E. ve Köseoğlu, F., Çeviri editörleri, 1996, Analitik Kimyanın Temelleri, Skoog, D.A., West, D.M. & Holler, F.J. dan çeviri, İkinci Baskı, Bilim Yayıncılık, 870 sayfa. Recommended Reading: 1. Skoog, D.A., West, D.M. & Holler, F.J., 1996, Fundamentals of Analytical Chemistry Seventh Edition, Saunders College Publishing, 870 pp. 2. Miller, J.C. & Miller, J.N. (1994). Statistics for Analytical Chemistry, 3th edition, Ellis Horwood PTR Prentice Hall, New York, London.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Sınavı1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14228
Individual Study for Mid term Examination12525
Individual Study for Final Examination13535
TOTAL WORKLOAD (hours)92
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr