Data Literacy ~ Statistics and Critical Reasoning
Statistics and Critical Reasoning
Become critical consumers of statistically-based results reported in popular media, recognizing whether reported results reasonably follow from the study and analysis conducted; recognize questions for which the investigative process in statistics would be useful and should be able to answer questions using the investigative; produce graphical displays and numerical summaries and interpret what graphs do and do not reveal; recognize and be able to explain the central role of variability in the field; recognize and be able to explain the central role of randomness in designing studies and drawing conclusions; gain experience with how statistical models, including multivariable (GAISE, 2020).
Descriptive analysis develops statistics to illustrate the shape of the data, describing characteristics such as the distribution of values (Wells, 2022).
Know – understand – be able to interpret statistics commonly used with educational data (e.g., randomness, central tendencies, mean, standard deviation, significance) (Learn2Analyze, 2017).
Relevant Links
These links are typically articles defining data literacy that include this theme in their definition.
, Gartner, 2019;, Learn2Analyze, 2017;, Chantel Ridsdale, et.al., Dalhousie University, 2015;, Robert Carver, et.al., American Statistical Association, 2016;, Anna Bargagliotti, et.al., American Statistical Association, 2020;, Australian Public Service Commission, Government of Australia, 2021;, Dave Wells, Eckerson Group, 2022;