History


Help on query formulation
first | previous | 1 21 | next | last

Result 1 to 20 of 21 total

Bootstrapping confidence intervals. (English)
Ben-Zvi, Dani (ed.) et al., The teaching and learning of statistics. International perspectives. Cham: Springer (ISBN 978-3-319-23469-4/hbk; 978-3-319-23470-0/ebook). 181-191 (2016).
Classification: K75 U75
1
Laying foundations for statistical inference. (English)
Cho, Sung Je (ed.), Selected regular lectures from the 12th international congress on mathematical education, ICME 12, Seoul, Korea, July 8‒15, 2012. Cham: Springer (ISBN 978-3-319-17186-9/hbk; 978-3-319-17187-6/ebook). 653-666 (2015).
Classification: K70 K40
2
What I see is not quite the way it really is: students’ emergent reasoning about sampling variability. (English)
Educ. Stud. Math. 88, No. 3, 343-360 (2015).
Classification: K73 K74 K43 K44
3
Use of data visualisation in the teaching of statistics: a New Zealand perspective. (English)
Stat. Educ. Res. J. 13, No. 2, 187-201, electronic only (2014).
Classification: K75 K45 K85 U75 D45
4
Students’ difficulties in practicing computer-supported statistical inference: some hypothetical generalizations from a study. (English)
Wassong, Thomas (ed.) et al., Mit Werkzeugen Mathematik und Stochastik lernen. Heidelberg: Springer Spektrum (ISBN 978-3-658-03103-9/pbk; 978-3-658-03104-6/ebook). 393-403 (2014).
Classification: K74 K75 U74 U75 D74 D75
5
Dynamic visualizations and the randomization test. (English)
Technol. Innov. Stat. Educ. 7, No. 2, 21 p., electronic only (2013).
Classification: K70 U70 D30 D40
6
A conceptual pathway to confidence intervals. (English)
ZDM, Int. J. Math. Educ. 44, No. 7, 899-911 (2012).
Classification: K10
7
Enhancing students’ inferential reasoning: from hands-on to "movies". (English)
J. Stat. Educ. 19, No. 2, 32 p. (2011).
Classification: K73 K74
8
Inference and the introductory statistics course. (English)
Int. J. Math. Educ. Sci. Technol. 42, No. 7, 903-913 (2011).
Classification: K75 D35 D45
9
Conceptual challenges in coordinating theoretical and data-centered estimates of probability. (English)
Math. Think. Learn. 13, No. 1-2, 68-86 (2011).
Classification: K53 K73 C33
10
Telling data stories: essential dialogues for comparative reasoning. (English)
J. Stat. Educ. 18, No. 1, 38 p. (2010).
Classification: K43 D43
11
Virtual environments and the acceleration of experiential learning. (English)
Int. Stat. Rev. 75, No. 3, 322-335 (2007).
Classification: K10 D30 D40 R20
12
The concept of distribution. (English)
Stat. Educ. Res. J. 5, No. 2, 10-26 (2006).
Classification: K60
13
Flexible learning and large numbers (A case study). (English)
Statistics education and the Internet. ,. 10 p. (2003).
Classification: K15
14
Statistical thinking: How can we develop it? (French)
Institut International de Statistique. 54ème session 2003. Actes. Livraison 2. ,. 64-67 (2003).
Classification: K10 D30
15
Probability with less pain. (English)
Teach. Stat. 24, No. 1, 24-30 (2002).
Classification: K50
16
What is statistical thinking? (English)
Pereira-Mendoza, Lionel et al., Proceedings of the fifth international conference on teaching statistics (5. ICOTS). Vol. 1. , (ISBN 90-73592-14-3). 333-339 (1999).
Classification: K10
17
Investigating the nature of statistical thinking. (English)
Pereira-Mendoza, Lionel et al., Proceedings of the fifth international conference on teaching statistics (5. ICOTS). Vol. 1. , (ISBN 90-73592-14-3). 459-465 (1999).
Classification: C30
18
Assessment on a budget: using traditional methods imaginatively. (English)
Gal, Iddo et al., The assessment challenge in statistics education. IOS Press, Amsterdam (ISBN 90-5199-333-1). 205-220 (1997).
Classification: D65
19
Continous improvement of teaching: a case study in a large statistics course. (English)
Int. Stat. Rev. 63, No. 1, 49-68 (1995).
Classification: K10
20
first | previous | 1 21 | next | last

Result 1 to 20 of 21 total

Valid XHTML 1.0 Transitional Valid CSS!