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Quantitative skills

Data visualisation and graphing (Biomed)

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This Smart Worksheet helps students develop their skills in data visualisation and graphing for biomedical science applications. It covers selecting appropriate graph types, creating well-presented scatter plots, interpreting trendlines and applying these skills in a realistic lab scenario.

Learning outcomes

  • Select suitable plot types and axes labels for different types of dataset.
  • Troubleshoot various issues with scatter plots.
  • Interpret lines of best fit.
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Skills

Concepts, Principles and Theories

  • Why appropriate graph types must be used for varying data types
  • How to identify presentation issues in a scatter plot

Manipulating and Presenting Data

  • Choose appropriate data, axes and and plot elements to construct a graph
  • Calculate protein concentration using a scatter plot's trendline formula

Learn more about our approach to skills
Prof. Nicky King
University of Exeter

"The great thing about Smart Worksheets is that they tell you at every point whether you’ve got it right or wrong, what might be wrong and how you might go about changing it. The students found that really valuable. In their exam, we found that the average mark in the maths questions rose from 59% to 79%, which made a really big difference to the student outcome.”

Details

Degrees

Biomedical science
Biological science
Pharmacological science

Modules

Bio essentials

Topic

Quantitative skills

Purchase option

The Smart Worksheet Library

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