Conferences

2020 ◽  
Vol 19 (1) ◽  
pp. 259-265
Author(s):  
MANFRED BOROVCNIK ◽  
JENNIFER J. KAPLAN

First published February 2020 at Statistics Education Research Journal Archives

2004 ◽  
Vol 4 (3) ◽  
pp. 58-58
Author(s):  
Flavia Jolliffe ◽  
Iddo Gal

2014 ◽  
Vol 13 (1) ◽  
pp. 5-6
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

First published May 2014 at Statistics Education Research Journal Archives


2013 ◽  
Vol 12 (2) ◽  
pp. 84-87
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

Forthcoming IASE Conferences First published November 2013 at Statistics Education Research Journal Archives


2014 ◽  
Vol 13 (1) ◽  
pp. 77-79
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

Forthcoming IASE Conferences First published May 2014 at Statistics Education Research Journal Archives


2019 ◽  
Vol 18 (2) ◽  
pp. 94
Author(s):  
JENNIFER J. KAPLAN

Acknowledgment: We are grateful to the people who acted as referees for the Statistics Education Research Journal in the past year. First published November 2019 at Statistics Education Research Journal Archives  


2013 ◽  
Vol 12 (2) ◽  
pp. 2-3
Author(s):  
ROBERT DELMAS ◽  
PETER PETOCZ

First published November 2013 at Statistics Education Research Journal Archives


2020 ◽  
Vol 19 (3) ◽  
Author(s):  
JENNIFER. J KAPLAN

Welcome to the third issue of SERJ for 2020. First published December 2020 at Statistics Education Research Journal: Archives


2021 ◽  
Vol 19 (2) ◽  
pp. 4-6
Author(s):  
JENNIFER J. KAPLAN

First published June 2020 at Statistics Education Research Journal Archives


2018 ◽  
Vol 17 (1) ◽  
pp. 165-172
Author(s):  
MANFRED BOROVCNIK ◽  
JENNIFER J. KAPLAN ◽  
MAXINE PFANNKUCH

Forthcoming IASE Conferences First published May 2018 at Statistics Education Research Journal Archives


2017 ◽  
Vol 16 (2) ◽  
pp. 244-286
Author(s):  
ROLF BIEHLER ◽  
DANIEL FRISCHEMEIER ◽  
SUSANNE PODWORNY

Connecting data and chance is fundamental in statistics curricula. The use of software like TinkerPlots can bridge both worlds because the TinkerPlots Sampler supports learners in expressive modeling. We conducted a study with elementary preservice teachers with a basic university education in statistics. They were asked to set up and evaluate their own models with TinkerPlots by using a real and open dataset they were given. In this article we present students’ processes of setting up and evaluating their models and focus on their reasoning during this process. First published November 2017 at Statistics Education Research Journal Archives


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