Foundations of Laboratory Statistical Analysis

• • Acquire sufficient knowledge to be able to select and apply the appropriate statistical techniques as they apply to the requirements of ISO/IEC 17025 and ISO/IEC 17020
  • Understand the concepts of population, sample, parameter and statistic
  • Understand and be able to calculate measures of central tendency and of dispersion
  • Understand probability distributions and sample data distributions
  • Understand the relationship of common statistical methods and their relationship to the empirical rule
  • Be able to visually/graphically represent and interpret data
  • Understand and be able to use laboratory decision tools, as well as calculate confidence intervals
  • Understand the basic concept of hypothesis testing

This course provides an introduction to the statistical concepts and techniques used to collect, organize, analyze, interpret, and present data. Topics include descriptive and inferential statistics, with emphasis on data distributions, measures of central tendency and variability, and the application of common statistical methods, including their relationship to the empirical rule.

Additional topics include numerical and categorical data, graphical methods for data visualization with emphasis on control charting, repeatability and reproducibility, accuracy, precision, bias, confidence intervals, standard error, and laboratory decision-making tools. The course also introduces the principles and application of hypothesis testing.  Practical application of these statistical concepts and techniques to various requirements in ISO/IEC 17025 and ISO/IEC 17020 will be demonstrated.

This training course is available as a private session. Private sessions are a great option for organizations that have several staff members that need the training.

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