Topic outline

  • Statistics for Analytical Scientists

    Find out how to get the most from your data by applying key statistical techniques. This one day course is delivered as an open course in Teddington and in-house for groups of 6 or more. We can modify the content for in-house customers, please contact us to find out more.
     TEC-110
     UK
     Classroom
     Role: Laboratory Technician, Manager/Senior Manager, Supervisor, Technician
     Technical
     Sector: Pharmaceuticals, Chemicals, Medical Biotechnology, Medical Devices

    This Course is Aimed at

    Technicians, analytical scientists (chemical or bio-analysis), laboratory managers/supervisors, quality managers.

    This course is targeted at scientists working in the roles indicated above. An understanding of statistics is essential for presenting data effectively, carrying out effective method development and validation studies, and planning effective quality control. 

    Overview

    Ensuring the quality of analytical data is a vital aspect of the work of an analytical scientist. The effective planning of experiments and evaluation of data requires an understanding of statistics. Knowledge of statistics is also needed to carry out method validation and evaluate measurement uncertainty.

    This course covers the statistics most commonly applied to analytical data.

    Programme Content and Key Areas

    The course will cover:

    • Introduction to statistics – summarising data
    • Significance testing: t- and F-tests
    • Control charts
    • Analysis of variance (ANOVA)
    • Linear regression

    Learning Outcomes
    This course will help participants:
    • Understand some of the most important statistical concepts used by analytical scientists
    • Calculate the most commonly used statistical parameters
    • Carry out significance tests to identify differences between sets of data
    • Use linear regression in calibration
    • Use Excel functions for the analysis of data


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