Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  504003422008  EVALUATION OF EXPERIMENTAL RESULTS  Elective  3  6  3 

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 
1  To learn the source of errors in chemical analysis  2  To learn the statistical evaluation of random errors  3  To learn the standard deviation of computed results  4  To learn the confidence limits and confidence interval  5  To learn the comparison of an experimental mean with a true value  6  To learn the comparison of two experimental means  7  To learn the F test and Q test  8  To learn the estimation of detection limits  9  To learn the leastsquares method for deriving calibration plots  10  To learn the paired ttest  11  To learn the oneway ANOVA  12  To learn the recovery, internal standard and standard addition methods 

Mode of Delivery 
Face to Face 
Prerequisites and corequisities 
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 leastsquares method for deriving calibration plots. Paired ttest. Use of regression lines for comparing two experimental means. Comparison of several experimental means by the oneway ANOVA. The application of control charts. Estimation of recovery. Internal standard and standard addition methods. 
Weekly Detailed Course Contents 

1  Errors in chemical analysis    2  Systematic errors, methods for eliminating systematic errors    3  Random errors, statistical treatment of random errors    4  The standard deviation of computed results    5  Methods for reporting computed data, the significant figure convention    6  Comparison of an experimental mean with a true value    7  Comparison of two experimental means (ttest)    8  Midterm    9  Use of regression lines for comparing two experimental means    10  Paired ttest    11  F test and Q test    12  Estimation of detection limits    13  The leastsquares method    14  Comparison of several experimental means by the oneway ANOVA    15  Estimation of recovery, internal standard and standard addition methods    16  Final   

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  
Midterm Examination  1  100  SUM  100  
Final Sınavı  1  100  SUM  100  Term (or Year) Learning Activities  40  End Of Term (or Year) Learning Activities  60  SUM  100 
 Work Placement(s)  None 

Workload Calculation 