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Statistical literacy: simulations with dolphins. (English)
Math. Teach. (Reston) 109, No. 8, 606-611 (2016).
Classification: K40 K90 M60
1
Making decisions with data: are we environmentally friendly? (English)
Aust. Prim. Math. Classr. 21, No. 2, 3-7 (2016).
Classification: K40 K90
2
Estimating risks of losses. (Abschätzung von Verlustrisiken.) (German)
Stoch. Sch. 36, No. 2, 20-24 (2016).
Classification: K90 M30 M40
3
A modeling and simulation approach to informal inference: successes and challenges. (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). 139-150 (2016).
Classification: K70 U70 K90
4
Calculating ellipse area by the Monte Carlo method and analysing dice poker with excel at high school. (English)
Int. J. Math. Educ. Sci. Technol. 47, No. 6, 976-986 (2016).
Classification: K50 K60 K90 G40
5
Using pig die and simulation to explore probability and expected values. (English)
Teach. Stat. 38, No. 2, 67-71 (2016).
Classification: K90 K50 M90 U60 U70
6
The Kaplan-Meier theatre. (English)
Teach. Stat. 38, No. 2, 45-49 (2016).
Classification: K90 K60 M60
7
Did the Gamemakers fix the lottery in the Hunger Games? (Wurde die Lotterie bei den Hungerspielen manipuliert?) (German)
Stoch. Sch. 36, No. 1, 28-32 (2016).
Classification: K70 K90 M90
8
Stochastic extreme value problems in the bin-occupancy model. II: Maxima of waiting times and coupon collector problems. (Stochastische Extremwertprobleme im Fächer-Modell. II: Maxima von Wartezeiten und Sammelbilderprobleme.) (German)
Stoch. Sch. 36, No. 1, 2-9 (2016).
Classification: K60 K90 M40
9
An expressive introduction of branching processes by means of generating functions (Elágazó folyamatok szemléletes bevezetése generátor függvények segitségével). (Hungarian)
Polygon 24, No. 1, 25-35 (2016).
Classification: K90
10
Group screening. A journey into medicine via stochastics, analysis and CAS. (Gruppen-Screening. Ein Ausflug in die Medizin über die Stochastik, Analysis und CAS.) (German)
Comput.algebra-Rundbr. 56, 18-21 (2015).
Classification: M60 K90 U70
11
Simulations of the sampling distribution of the mean do not necessarily mislead and can facilitate learning. (English)
J. Stat. Educ. 23, No. 2, 7 p., electronic only (2015).
Classification: K90 K70
12
Analysis of Thursday night NFL winning margins. (English)
J. Stat. Educ. 23, No. 1, 12 p., electronic only (2015).
Classification: K90 K70 K40 M90
13
Modeling raindrop size. (English)
J. Stat. Educ. 23, No. 1, 26 p., electronic only (2015).
Classification: K90 K70 K40 M50
14
How much do minority lives matter? (English)
J. Stat. Educ. 23, No. 2, 5 p., electronic only (2015).
Classification: K40 K50 K70 K90
15
Handwriting and gender: a multi-use data set. (English)
J. Stat. Educ. 23, No. 1, 15 p., electronic only (2015).
Classification: K40 K90
16
It’s a girl! Random numbers, simulations, and the law of large numbers. (English)
Math. Teach. Middle Sch. 20, No. 9, 561-563 (2015).
Classification: K50 K90 K70
17
Algorithmic Ruby, an definite integral\dots by chance. (Algorithmique Ruby une intégrale défine\dots par hasard.) (French)
Losanges 29, 48-53 (2015).
Classification: N80 I50 K90
18
Algorithmic and language Ruby, the chance is probably well-organized! (Algorithmique et langage Ruby le hasard est probablement bien organisé!) (French)
Losanges 30, 50-60 (2015).
Classification: N80 K90
19
When should I tank up? ‒ an applied mathematical problem from reality. (Wann soll man tanken? ‒ ein angewandtes mathematisches Problem aus der Realität.) (German)
Mathematikunterricht 61, No. 5, 20-26 (2015).
Classification: M40 K90
20
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