Recording and presenting data | Year 5 Science PDF Download

Choosing the Right Presentation Method for Data

Science experiments produce results that can be presented in various formats, such as:

• Drawings and Photographs: Visual representations like drawings or photographs are invaluable for showcasing data that lacks numerical values. For instance, observations of natural phenomena, such as seasonal changes, or the discovery of a new cell type, are best depicted through images. Scientific diagrams, distinct from artistic ones, are straightforward and devoid of shading.
• Bar Charts: Bar charts are ideal for illustrating discrete data—information that can be expressed in whole numbers. They are versatile in presenting data where the order is not crucial, such as colors displayed in any sequence. Similarly, pie charts are effective for displaying such non-sequential results.
• Line Graphs: Line graphs excel at representing continuous data—data that spans a range of values, which may not be whole numbers, like height and weight. These graphs necessitate a specific order in their presentation, such as time progressing from one minute to five minutes.
• Scatter Graphs: Scatter graphs are utilized in pattern-seeking inquiries to reveal relationships between two distinct variables. They are particularly useful for identifying patterns in data sets.
• Scientific Publications: Scientists document their research findings in concise articles published in journals, which serve as essential repositories of scientific knowledge.

Examples of Presenting Data

• Results from experiments are commonly displayed in tables and illustrated in charts and graphs to enhance comprehension.
• Three instances focusing on eye color, reactions, age, and heart rate are provided.

Example 1:
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Example 2:
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Example 3:
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