Teaching Statistical Thinking in the Data Deluge

Robert Gould () and Mine Çetinkaya-Rundel ()
Additional contact information
Robert Gould: University of California, Los Angeles, Department of Statistics
Mine Çetinkaya-Rundel: Duke University, Department of Statistical Science

Chapter Chapter 27 in Mit Werkzeugen Mathematik und Stochastik lernen – Using Tools for Learning Mathematics and Statistics, 2014, pp 377-391 from Springer

Abstract: Abstract Engaging with data is at the heart of statistical thinking, but readily-available data are now complex and large, and so statistical thinking is perhaps also more complex than in the recent past. We discuss an undergraduate event, DataFest, as a means for supplementing classroom approaches to teaching statistical thinking, and discuss lessons learned from observations during two DataFests held at two universities in the United States.

Keywords: American Statistical Association; Exploratory Data Analysis; Computational Thinking; Funded Loan; Introductory Statistics (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-03104-6_27

Ordering information: This item can be ordered from
http://www.springer.com/9783658031046

DOI: 10.1007/978-3-658-03104-6_27

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().