Analytical Capability (Workshop)
The analytical capability of a laboratory is like the credibility of a diagnosis: it must be reliable and accurate. This course teaches concepts of repeatability, reproducibility, and method validation, ensuring consistent results that are accepted by the market.
The objectives of this course are:
Without analytical control, technical and business decisions become vulnerable to errors. Companies that master these practices ensure compliance and gain a competitive advantage. This course demonstrates how to structure robust and reliable laboratory processes.
The objectives of this course are:
- Teach concepts of repeatability, reproducibility, and accuracy.
- Enable professionals to validate analytical methods in the laboratory.
- Improve the reliability of laboratory results.
Without analytical control, technical and business decisions become vulnerable to errors. Companies that master these practices ensure compliance and gain a competitive advantage. This course demonstrates how to structure robust and reliable laboratory processes.
Requisitos
No pre-requisites.
Duracíon
16 or 24 hours
Formatos
In-person and OnlineContenido
Basic Structure:
Workload:
24 hours
Pre-Work:
Not available
NOTE:
There is the option of using Minitab or Action software for statistical analysis
- Process View
- Introduction to Minitab
- Importance of statistical significance on decision making
- Basic Statistics (measurement of position and scatter)
- Basic Charts (Pareto, Scatter, Box Plot, Trend)
- Analysis of Correlation and Simple Regression
- Measurement System Analysis (MSA)
- Capability for discrete and continuous data (Xbarra-R, Xbarra-S, IMR)
- Hypothesis Test (comparing averages, medians and variation using: ANOVA, 1-Sample-T, 2-Sample-T, F-Test, Levene Test)
- Normal Distribution and Other distributions
- Normality Test
- Analysis of Capability for non-normal data
- Box-Cox Transformation
- Practical exercises using daily examples of the department (brought by participants in the training, but 20 days previously sent to SETA for the instructor knowledge)
Workload:
24 hours
Pre-Work:
Not available
NOTE:
There is the option of using Minitab or Action software for statistical analysis