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Description

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

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Track(s)

• 
  Chemical Materials/Materials Science

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Course Outline

Overview of statistical techniques
Individual and group exercises

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Learning Objectives

• Acquire sufficient knowledge to the requirements in ISO/IEC 17025 or ISO/IEC 17020
• Understand numerical and categorical types of data
• Understand the concepts of population, samples, sampling methods, and bias type and direction
• Understand and be able to calculate measures of central tendency and of dispersion
• Understand probability distributions and sample data distributions
• Understand and be able to calculate confidence intervals and hypothesis testing

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Additional Info

Categories (Up to 5):
Analytical Metrology,Data Analysis,Data Management,Statistics

Proposal Number:
SC14591

Scientific Specialties:
LIMS

Target Audience:
Laboratory personnel and management

Type of Industry:
Agriculture,Analytical Chemistry/Equipment/Instruments,Biotechnology/Biochem,Chemicals/Chemical Equipment,Contract Laboratory,Education,Laboratories/Research/Testing/Government Agency