An Historical Phenomenology of Mean and Median

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Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology (2018, methodology): “The median method is more resistant to outliers than the mean (Bakker and Gravemeijer, 2006).”
A categorization of the “whys” and “hows” of using history in mathematics education (2009, background): “3 Examples of other papers discussing the possible benefits to be gained by in-service and preservice teachers from knowing and learning about the history of mathematics are Freudenthal (1981), Heiede (1996), and Barabash and Guberman-Glebov (2004). Regarding empirical studies on this matter, the fo”