Featured Courses:

• Statistical Methods for Research (Biomedical Sciences)

  Overview

  Publication date: July 2014 
  Core activities: 12.5 hours 

  This programme will:

  • Give students an introduction to the statistical modelling process
  • Introduce students to statistical thinking and how to describe data
  • Help students use statistics to make good generalisations
  • Show how statistics can be used for hypothesis testing
  • Focus on practical statistical modelling
  • Show hypothesis testing on proportions and how to interpret the results.

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  Syllabus

  • Course 1: Introduction to Statistics in the context of research
  • Course 2: Describing data well
  • Course 3: Making good generalisations
  • Course 4: Which hypothesis should I use?
  • Course 5: Statistical modelling
  • Course 6: Analysis of categorical data
  • Course 7: Conclusion

  Author: Sandro Leidi 
  Senior Statistician, University of Reading

• Statistical Methods for Research (Business)

  Overview

  Publication date: July 2014 
  Core activities: 12.5 hours 

  This programme will:

  • Give students an introduction to the statistical modelling process
  • Introduce students to statistical thinking and how to describe data
  • Help students use statistics to make good generalisations
  • Show how statistics can be used for hypothesis testing
  • Focus on practical statistical modelling
  • Show hypothesis testing on proportions and how to interpret the results.

  ---

   

  Syllabus

  • Course 1: Introduction to Statistics in the context of research
  • Course 2: Describing data well
  • Course 3: Making good generalisations
  • Course 4: Which hypothesis should I use?
  • Course 5: Statistical modelling
  • Course 6: Analysis of categorical data
  • Course 7: Conclusion

  Author: Sandro Leidi 
  Senior Statistician, University of Reading

• Statistical Methods for Research (Engineering and Technology)

  Overview

  Publication date: July 2014 
  Core activities: 12.5 hours 

  This programme will:

  • Give students an introduction to the statistical modelling process
  • Introduce students to statistical thinking and how to describe data
  • Help students use statistics to make good generalisations
  • Show how statistics can be used for hypothesis testing
  • Focus on practical statistical modelling
  • Show hypothesis testing on proportions and how to interpret the results.

  ---

   

  Syllabus

  • Course 1: Introduction to Statistics in the context of research
  • Course 2: Describing data well
  • Course 3: Making good generalisations
  • Course 4: Which hypothesis should I use?
  • Course 5: Statistical modelling
  • Course 6: Analysis of categorical data
  • Course 7: Conclusion

  Author: Sandro Leidi 
  Senior Statistician, University of Reading

• Statistical Methods for Research (Natural Sciences)

  Overview

  Publication date: July 2014 
  Core activities: 12.5 hours 

  This programme will:

  • Give students an introduction to the statistical modelling process
  • Introduce students to statistical thinking and how to describe data
  • Help students use statistics to make good generalisations
  • Show how statistics can be used for hypothesis testing
  • Focus on practical statistical modelling
  • Show hypothesis testing on proportions and how to interpret the results.

  ---

   

  Syllabus

  • Course 1: Introduction to Statistics in the context of research
  • Course 2: Describing data well
  • Course 3: Making good generalisations
  • Course 4: Which hypothesis should I use?
  • Course 5: Statistical modelling
  • Course 6: Analysis of categorical data
  • Course 7: Conclusion

  Author: Sandro Leidi 
  Senior Statistician, University of Reading

• Statistical Methods for Research (Social Sciences)

  Overview

  Publication date: July 2014 
  Core activities: 12.5 hours 

  This programme will:

  • Give students an introduction to the statistical modelling process
  • Introduce students to statistical thinking and how to describe data
  • Help students use statistics to make good generalisations
  • Show how statistics can be used for hypothesis testing
  • Focus on practical statistical modelling
  • Show hypothesis testing on proportions and how to interpret the results.

  ---

   

  Syllabus

  • Course 1: Introduction to Statistics in the context of research
  • Course 2: Describing data well
  • Course 3: Making good generalisations
  • Course 4: Which hypothesis should I use?
  • Course 5: Statistical modelling
  • Course 6: Analysis of categorical data
  • Course 7: Conclusion

  Author: Sandro Leidi 
  Senior Statistician, University of Reading