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Benefits of adding anxiety-reducing features to a computer-based multimedia lesson on statistics. (English)
Comput. Hum. Behav. 63, 293-303 (2016).
Classification: U55 K45 K75 K85 C25
1
Report of an interdisciplinary work mathematics ‒ physics. Functions, statistics and hydrostatics. (Compte rendu d’un travail interdisciplinaire mathematiques ‒ sciences physiques. Fonctions, statistique et hydrostatique.) (French)
Repères IREM 102, 13-34 (2016).
Classification: M50
2
Finding what fits. (English)
Math. Teach. Middle Sch. 21, No. 8, 484-491 (2016).
Classification: K83 K43
3
Simulating sampling distributions. (Stichprobenverteilungen simulieren.) (German)
Math. Lehren 33, No. 197, 48-50 (2016).
Classification: K74 K94 D84
4
Fewer girls in Gorleben?! Understanding statistical significance. (Weniger Mädchen in Gorleben?! Statistische Signifikanz verstehen.) (German)
Math. Lehren 33, No. 197, 40-44 (2016).
Classification: K74 M74 D84
5
Illustrating the central limit theorem. (English)
Math. Teach. (Reston) 109, No. 6, 456-462 (2016).
Classification: K70
6
Invention activities support statistical reasoning. (English)
Math. Teach. Middle Sch. 21, No. 6, 358-363 (2016).
Classification: K43 D83
7
A vehicle for bivariate data analysis. (English)
Math. Teach. Middle Sch. 21, No. 6, 348-356 (2016).
Classification: K43
8
Making sense of data: context matters. (English)
Math. Teach. Middle Sch. 21, No. 6, 338-347 (2016).
Classification: K43
9
More prosperity through “full employment"? An interdisciplinary analysis of labour market data. (Mehr Wohlstand durch “Vollbeschäftigung"? Eine fächerverbindende Analyse von Arbeitsmarktdaten.) (German)
Math. Lehren 33, No. 197, 26-32 (2016).
Classification: K43 M73 D83
10
What is normal? Reading and understanding percentile curves on growth. (Was ist normal? Perzentilkurven zum Wachstum lesen und verstehen.) (German)
Math. Lehren 33, No. 197, 20-25 (2016).
Classification: K43 D83
11
Waiting for the geyser eruption. Using data and factual knowledge for a meaningful prediction. (Warten auf den Geysir-Ausbruch. Mit Daten und Sachwissen zu einer sinnvollen Prognose.) (German)
Math. Lehren 33, No. 197, 15-19 (2016).
Classification: K43 M53 D83
12
Web-based statistical sampling and analysis. (English)
Math. Teach. (Reston) 109, No. 8, 627-630 (2016).
Classification: K40 K70 K80
13
Statistical literacy: simulations with dolphins. (English)
Math. Teach. (Reston) 109, No. 8, 606-611 (2016).
Classification: K40 K90 M60
14
Helping students interpret large-scale data tables. (English)
Aust. Math. Teach. 72, No. 2, 16-24 (2016).
Classification: K40
15
Making decisions with data: are we environmentally friendly? (English)
Aust. Prim. Math. Classr. 21, No. 2, 3-7 (2016).
Classification: K40 K90
16
Lung disease, indigestion, and two-way tables. (English)
Investig. Math. Learn. 8, No. 2, 1-16 (2016).
Classification: K40 M60
17
Improving statistical literacy. (Statistische Grundbildung fördern.) (German)
Math. Lehren 33, No. 197, 2-7 (2016).
Classification: K40 D30
18
Explaining student achievement: the influence of teachers’ pedagogical content knowledge in statistics. (English)
Int. J. Sci. Math. Educ. 14, No. 7, 1339-1357 (2016).
Classification: C30 D39 K40
19
Profile of research preparation of doctorates in mathematics education in the United States. (English)
Far East J. Math. Educ. 16, No. 2, 135-148 (2016).
Classification: B40 D20
20
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