lesson
Identifying Bias in Data Representation
Identify misleading representations of data such as truncated axes, cherry-picked data and selective reporting.
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Sampling Methods and Bias in Data
5 lessons
Goal
Analyse how different sampling methods affect survey results and how choice of representation can support a particular point of view.
5 lessons
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- Types of Sampling Methods: Random, Stratified and ConvenienceUp next
- How Sampling Method Affects Survey ResultsNot started yet
- Random vs Non-Random Sampling: Comparing ResultsNot started yet
- Identifying Bias in Data RepresentationYou are here
- How Choice of Representation Supports a Particular ViewpointNot started yet
