In reading The Basics of Data Literacy (Bowen, M. and Bartley, A., 2014) it was apparent to me why this chapter was chosen for an introduction to the essentials of digital literacy. The authors make it very clear that Science is a probabilistic endeavor (p.4) and data literacy is essential to science literacy (p.3).
Data literacies discussed in this chapter were open-inquiry, higher-order thinking skills, drawing conclusions, and messy data. I was particularly interested in the example provided with the dispersion (scatter) of data around averages. Because science in schools often draws conclusions on averages, (Bowen, 2014) this method of examining date by standard deviation offers a more in-depth analysis of data and the opportunity to draw more accurate conclusions.
This has a profound impact when relating to a conclusion of health decisions and social safety, such as cancer treatment or structural material deterioration rates and many other life threatening decisions made daily from data analysis.
Works Cited
Bowen, M. Bartley, A. (2014). The Basics of Data Literacy. Arlington, VA: David Beacom.
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