March 5 - 9, 2022
Georgia World Congress Center
Atlanta, Georgia, USA
Saturday, March 5, 2022 8:30am-12:30pm
Method validation plays an integral role in planning for quality results in any testing laboratory. In the absence of industry-standard methods for cannabis testing, robust method validation is critical to ensure the test methods are fit for the intended use. Robust method validation provides confidence that the methods employed by the lab are fit for the intended purpose and produce quality, reliable, and consistent analytical results. This course focuses on method development and the importance of the method validation process, including determining a method’s fitness for use, common quality control activities, and the importance of the validation package, as well as validation characteristics that are part of the validation process. The requirements for method validation from ISO/IEC 17025:2017 will also be reviewed. Exercises and quizzes throughout the course will test comprehension of the topics covered in each section. Register for this Short Course
Saturday, March 5, 2022 1:00pm-5:00pm
This course provides an introduction to basic statistical concepts and techniques used for the collection, organization, analysis, and presentation of various types of data. The course touches on both descriptive statistics and inferential statistics, including how to compute measures of central tendency and dispersion, and how to assess the relationship between two variables. Additional topics include graphical representation of data, least squares regression and correlation, calculating probabilities and evaluating probability and sampling distributions, hypothesis testing, confidence intervals and statistical inference, and drawing conclusions about the underlying population. Practical application of these statistical concepts and techniques to various requirements in ISO/IEC 17025 and ISO/IEC 17020 will be demonstrated. Register for this Short Course
Sunday, March 6, 2022 8:30am-12:30pm
In this course, participants will learn the four most common cause analysis techniques: Ishikawa diagrams, five whys, FMEA, and Pareto charts. The concepts for each will be reinforced by walking through an example related to the operation of a testing laboratory and reviewing the standard requirements for corrective action. While this course is designed with laboratory-specific examples, the concepts presented are applicable to many types of organizations. Quizzes and exercises throughout the training demonstrate understanding of the concepts presented. Register for this Short Course
