History
1
519


Help on query formulation

Result 21 to 40 of 519 total

Dynamic simulation of stochastic phenomena using MS Excel. (Dynamická simulácia náhodných javov pomocou MS Excel.) (Slovak. English summary)
Obz. mat. fyz. inform. 44, No. 3, 1-11 (2015).
Classification: K90 U70
21
Stochastic extreme value problems in the bin-occupancy model. I: Minima of waiting times and collision problems. (Stochastische Extremwertprobleme im Fächer-Modell. I: Minima von Wartezeiten und Kollisionsprobleme.) (German)
Stoch. Sch. 35, No. 3, 24-30 (2015).
Classification: K60 K90 M40
22
A spreadsheet simulation to teach concepts of sampling distributions and the central limit theorem. (English)
Spreadsheets Educ. 8, No. 3, 15 p., electronic only (2015).
Classification: K60 K70 K90 U70
23
Sports betting and major events as a chance. (Sportwetten und Großereignisse als Chance.) (German)
PM Prax. Math. Sch. 57, No. 66, 42-46 (2015).
Classification: K50 M90 D80 K90
24
The rendezvous problem. (Das Rendezvous-Problem.) (German)
PM Prax. Math. Sch. 57, No. 66, 15-20 (2015).
Classification: K50 K90 U70
25
Celebrated problems in stochastics: is the sharing problem called “problème des parties" or “problème des partis"? (Berühmte Aufgaben der Stochastik: Heißt das Teilungsproblem “problème des parties" oder “problème des partis"?) (German)
Stoch. Sch. 35, No. 3, 34-35 (2015).
Classification: K50 A30 K90
26
Conspicuous lotto number sequences ‒ “strange" or simply pure chance. (Auffällige Lottoreihen ‒ “kurios" oder einfach nur Zufall?) (German)
Stoch. Sch. 35, No. 3, 2-5 (2015).
Classification: K50 K70 K90
27
Teaching mathematical modelling: demonstrating enrichment and elaboration. (English)
Int. J. Math. Teach. Learn. 2015, 16 p., electronic only (2015).
Classification: M10 K90
28
A random walk: stumbling across connections. (English)
Math. Teach. (Reston) 108, No. 9, 686-695 (2015).
Classification: K50 K60 K90
29
Developing strategic and mathematical thinking via game play: programming to investigate a risky strategy for Quarto. (English)
Math. Enthus. 12, No. 1-3, 55-61 (2015).
Classification: M90 K50 M40 K90 P50
30
Risk: mathematical and otherwise. (English)
Math. Enthus. 12, No. 1-3, 19-30 (2015).
Classification: M40 K50 K90
31
A models and modeling approach to risk and uncertainty. (English)
Math. Enthus. 12, No. 1-3, 184-202 (2015).
Classification: M10 K50 K40 K70 K90
32
Calculated risks: the teacher as big data producer and risk analyst. (English)
Math. Enthus. 12, No. 1-3, 378-388 (2015).
Classification: K90 B10 K40
33
“Setting a good example" ‒ on the principle of example-based approach to the central theme of data and chance. (“Mit gutem Beispiel vorangehen" ‒ zum Prinzip des beispielgebundenen Zugangs zur Leitidee Daten und Zufall.) (German)
Stoch. Sch. 35, No. 2, 6-14 (2015).
Classification: K70 K90
34
Did the Gamemakers fix the lottery in the Hunger Games? (English)
Teach. Stat. 37, No. 2, 37-40 (2015).
Classification: K70 K90 M90
35
A story-based simulation for teaching sampling distributions. (English)
Teach. Stat. 37, No. 1, 23-25 (2015).
Classification: K70 K90 U80 U70
36
Adults’ perceptions of risk in the big data era. (English)
Math. Enthus. 12, No. 1-3, 364-377 (2015).
Classification: K70 K90 C30 K40
37
A cognitive framework for normative reasoning under uncertainty, and reasoning about risk, and implications for educational practice. (English)
Math. Enthus. 12, No. 1-3, 140-156 (2015).
Classification: K70 K90 M40 C30 D70
38
Risk and decision making: the “logic" of probability. (English)
Math. Enthus. 12, No. 1-3, 113-139 (2015).
Classification: K70 K90 M40
39
Probability, justice, and the risk of wrongful conviction. (English)
Math. Enthus. 12, No. 1-3, 11-18 (2015).
Classification: K70 K90 M90
40

Result 21 to 40 of 519 total

Valid XHTML 1.0 Transitional Valid CSS!