How Faithful Is Old Faithful? Statistical Thinking: A Story of Variation and Prediction
By J. Shaughnessy, M. Pfannkuch, A. Fisher, Karl Pearson, Jerz Neyman They. Mathematics Teacher, 2002
56 citations recorded by the source corpus.
Statistics is a relatively new discipline. Only in the last one hundred years have common methods and common reasoning evolved that can be applied to data from many fields. In the early years, the field of statistics was influenced by the work of Ronald A. Fisher, Karl Pearson, and Jerz Neyman. They focused on developing tools and methods that primarily focused on randomization More recently, exploratory data analysis has been emphasized (Tukey 1977). As statistics continues to mature as a discipline, statistics educators are paying more attention to developing overall models of statistical thinking (Wild and Pfannkuch 1999). This shift in statistics means refocusing the emphasis in teaching from how to do statistics to how to think about statistics.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5afc45996e704f5efe8cd411185c80329ef9c9c6
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Citations in the corpus
- The Role of Context in Developing Informal Statistical Inferential Reasoning: A Classroom Study (2011, background): “For example, at the school level Shaughnessy and Pfannkuch (2002) described the interplay between the contextual and statistical with the wait-times between eruptions of Old Faithful.”