This course gives the theoretical background regarding the errors in a quantitative analysis and data analysis with significance Tests. The attendees will be able to perform a multivariate result analysis and experimental design.
At the end of the course, the participants will be able to;
- Explain and apply sampling strategies and analytical calibration methods .
- Describe and apply statistical tests t-tests, F-tests, Chi-Squared tests, and Data Rejection Criteria to a given set of data.
- Perform various types of multivariate projection methods, such as principal component analysis, partial least squares projections to latent structures (PLS) and orthogonal projections to latent structures (OPLS).
- Develop and set up control charts.
- Introduction to chemo metrics and errors in quantitative analysis.
- Common methods for processing chemical data.
- Significance Tests.
- The quality of analytical measurements and control charts.
- Calibration Methods in chemical analysis.
- On-parametric and Robust Methods.
- Multivariate Analysis and experimental design and optimization.
- Determine the accuracy and precision of an analytical measurement.
- Calculate the standard deviation of a series of analysis.
Perform statistical tests on analytical results.
- Laboratory Quality Control Managers.
- Laboratory Quality control supervisors.
Chemical laboratory technicians.
5 Days
