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Rebeka Man – ProQuest LLC, 2024
In today's era of large-scale data, academic institutions, businesses, and government agencies are increasingly faced with heterogeneous datasets. Consequently, there is a growing need to develop effective methods for extracting meaningful insights from this type of data. Quantile, expectile, and expected shortfall regression methods offer useful…
Descriptors: Data, Data Analysis, Data Use, Higher Education
Heinicke, Susanne; Heering, Peter – Science & Education, 2013
The aim of this paper is to discuss different approaches to the quality (or uncertainty) of measurement data considering both historical examples and today's students' views. Today's teaching of data analysis is very much focussed on the application of statistical routines (often called the "Gaussian approach" to error analysis). Studies on…
Descriptors: Measurement, Teaching Methods, Data Analysis, Expertise
Brophy, Caroline; Hahn, Lukas – Journal of Statistics Education, 2014
In this paper, we describe an in-class experiment that is easy to implement with large groups of students. The experiment takes approximately 15-20 minutes to run and involves each student completing one of four types of Sudoku puzzles and recording the time it takes to completion. The resulting data set can be used as a teaching tool at an…
Descriptors: Large Group Instruction, Lecture Method, Educational Experiments, Puzzles
Peer reviewedBryan, Elizabeth H. – Mathematics Teacher, 1988
This set of activity sheets requires students to organize and display data with a box-and-whiskers graph. Students use the plot as a summary display to detect patterns and to highlight the important features of the data for purposes of comparison. (PK)
Descriptors: Class Activities, Comparative Analysis, Data, Data Analysis

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