Statistical treatment of empirical data

Course Code :1030FBDBIC
Study domain:Biochemistry
Academic year:2017-2018
Semester:1st semester
Contact hours:20
Credits:4
Study load (hours):112
Contract restrictions: No contract restriction
Language of instruction:Dutch
Exam period:exam in the 1st semester
Lecturer(s)Koen Janssens
Karl Peeters

3. Course contents *

We first emphasis on the importance of experimental data as part of the scientific method and via a number of examples we illustrate the concepts systematic and random error. Next we develop in an intuitive manner the concept of probability density. We elaborate on the normal distribution, the central limit theorem and the propagation of errors.

With this basis we discuss the construction of confidence intervals for large datasets (z-statistic) and a small number of observations (t-statistics). In the chapter on statistical tests we show the use of the z- and t-statistic to compare experimental data under various conditions. We use the F-test to compare precisions of experimental data en the Q-test to remove outliers. In the last chapter the method of least squares fit of a straight line is introduced for the construction of calibration curves, its construction, evaluation and use.

For all of this, we use excel.