Topic outline

• Further statistical tools for analytical scientists
  

  Further statistical tools for analytical scientists

  Further your knowledge of the application of statistics to analytical science. This one day course is delivered as an open course in Teddington and in-house for groups of 6 or more.

  
  

  	TEC-021  UK  Classroom  Role: Laboratory Technician, Manager/Senior Manager, Technician  Technical  Sector: Chemicals, Medical Biotechnology, Medical Devices, Pharmaceuticals
  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
  To interpret data effectively requires the application of statistics. This course builds on the topics covered in the ‘Statistics for analytical scientists’ course and includes some more advanced statistical tools. It will allow analysts to address issues such as identifying outliers in a data set, handling non-normal distributions of data and carrying out weighted and non-linear regression.
  Programme Content and Key Areas
  The course will cover: Handling of non-normal data Dealing with outliers Robust statistics Fitting non-linear functions Weighted regression Two-way ANOVA with and without replication.
  Learning Outcomes
  This course will help participants: Deal with normal and non-normal distributions Identify cases of normally distributed data with outliers Calculate statistical parameters in the presence of probable outliers Identify where two-way ANOVA is appropriate Use some of the more advanced regression tools Use Excel functions for the analysis of data. To book now contact us.
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