DATA-H4 | Science & Engineering Practices
Compare and contrast various types of data sets (e.g., self-generated, archival) to examine consistency of measurements and observations.
NGSS Science & Engineering Practices
Find free, ready-to-teach resources aligned to DATA-H4. Designed with teachers and artists, in partnership with STEM researchers.
DATA-H4 | Science & Engineering Practices
Compare and contrast various types of data sets (e.g., self-generated, archival) to examine consistency of measurements and observations.
Created with purpose: see how resources connect to this standard.
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Females singing to be heard: Challenging long-held assumptions about birdsong through data visualization

Students will learn how data visuals tell a story. They will analyze real bird song data to try to understand why female singing behavior has been overlooked in one of the most common birds in the world. They will also gain a deeper insight into the scientific peer review process.
Alignment summary( Connected)
- Students compare and contrast scatter plots and histograms created from empirical and self-generated data sets - Students examine the results and interpret their findings
Included resources
3 lessons and 8 supporting media items.

Lesson 1
Supporting videos

Lesson 2
Supporting videos

Lesson 3
Supporting videos
