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Organizing and Describing Data

This guide explores the crucial aspects of organizing and describing data through graphs. Learn which types of graphs to use based on data types and how to answer graph-related questions effectively. We discuss common pitfalls of misleading statistics, such as insufficient or biased sample sizes and how outliers can distort results. Additionally, we emphasize the importance of consistent scales in graphs and the dangers of starting at non-zero points or misrepresentation in percentages. Equip yourself with the knowledge to analyze and interpret graphs accurately.

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Organizing and Describing Data

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Presentation Transcript

  1. Organizing and Describing Data What type of graph to use Answering questions pertaining to graphs

  2. Type of data vs Type of Graph

  3. Misleading Statistics and Graphs How to tell if they are misleading

  4. Statistics • Sample space is too small – not asking enough people • Sample space biased – only a certain group • Outliers in the sample space – too far away from the normal

  5. Graphs Scales are not consistent Do not start at zero – even breaks can make is misleading Do not add up to 100%

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