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Simulating sampling distributions. (Stichprobenverteilungen simulieren.) (German)
Math. Lehren 33, No. 197, 48-50 (2016).
Classification: K74 K94 D84
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1
Prediction of the population development in Germany. (Prognose der Bevölkerungsentwicklung in Deutschland.) (German)
Math. Lehren 33, No. 197, 33-39 (2016).
Classification: K44 K94 M74
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2
Statistical literacy: simulations with dolphins. (English)
Math. Teach. (Reston) 109, No. 8, 606-611 (2016).
Classification: K40 K90 M60
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3
Making decisions with data: are we environmentally friendly? (English)
Aust. Prim. Math. Classr. 21, No. 2, 3-7 (2016).
Classification: K40 K90
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4
Visualizing the central limit theorem through simulation. (English)
PRIMUS, Probl. Resour. Issues Math. Undergrad. Stud. 26, No. 3, 229-240 (2016).
Classification: K95 K45 K75 U75
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5
Estimating risks of losses. (Abschätzung von Verlustrisiken.) (German)
Stoch. Sch. 36, No. 2, 20-24 (2016).
Classification: K90 M30 M40
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6
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
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7
Two-dice horse race. (English)
Teach. Stat. 38, No. 3, 98-101 (2016).
Classification: K53 K93
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8
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
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9
Stochastic simulations with TinkerPlots ‒ from simple random experiments to informal hypothesis testing. (Stochastische Simulationen mit TinkerPlots ‒ Von einfachen Zufallsexperimenten zum informellen Hypothesentesten.) (German)
Stoch. Sch. 36, No. 1, 22-27 (2016).
Classification: U73 K93 K53 K73 K43
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10
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
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11
The Kaplan-Meier theatre. (English)
Teach. Stat. 38, No. 2, 45-49 (2016).
Classification: K90 K60 M60
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12
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
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13
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
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14
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
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15
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
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16
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
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17
Analysis of Thursday night NFL winning margins. (English)
J. Stat. Educ. 23, No. 1, 12 p., electronic only (2015).
Classification: K90 K70 K40 M90
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18
Modeling raindrop size. (English)
J. Stat. Educ. 23, No. 1, 26 p., electronic only (2015).
Classification: K90 K70 K40 M50
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19
Network analysis with the Enron email corpus. (English)
J. Stat. Educ. 23, No. 2, 27 p., electronic only (2015).
Classification: K45 K95
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20
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