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Result 21 to 40 of 501 total

The player with the higher number wins! Encountering probabilities in grade 5 through playing. (Wer die höhere Zahl hat, gewinnt! Spielerische Begegnung mit Wahrscheinlichkeiten in Klasse 5.) (German)
PM Prax. Math. Sch. 57, No. 66, 10-14 (2015).
Classification: K53 D83 U63
21
The rendezvous problem. (Das Rendezvous-Problem.) (German)
PM Prax. Math. Sch. 57, No. 66, 15-20 (2015).
Classification: K50 K90 U70
22
With chance through school ‒ probability. (Mit Zufall durch die Schule ‒ Wahrscheinlichkeit.) (German)
PM Prax. Math. Sch. 57, No. 66, 2-9 (2015).
Classification: K50 D40
23
Who cracks the code? Working with statistical probabilities. (Wer knackt den Code? Mit statistischen Wahrscheinlichkeiten umgehen.) (German)
PM Prax. Math. Sch. 57, No. 65, 19-22 (2015).
Classification: K43 K53 D43 D83 E53 P23
24
An alternative teaching method of conditional probabilities and Bayes’ rule: an application of the truth table. (English)
Teach. Stat. 37, No. 3, 89-95 (2015).
Classification: K60 K50
25
Teaching probability: a socio-constructivist perspective. (English)
Teach. Stat. 37, No. 3, 78-84 (2015).
Classification: K50 K60 C30
26
Modeling with sequences. (English)
Consortium 108, 17 p., pull-out section (2015).
Classification: D80 I30 K20 M10
27
Expect the unexpected when teaching probability. (English)
Math. Teach. (Derby) 245, 29-32 (2015).
Classification: K53 D73 C33
28
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
29
Judgment of association between potential factors and associated risk in $2\times 2$ tables: a study with psychology students. (English)
Math. Enthus. 12, No. 1-3, 347-363 (2015).
Classification: K75 K95 D75
30
The $p$-value: standardized random variable, exceedance probability or rejection threshold? (Der $p$-Wert: Standardisierte Zufallsvariable, Überschreitungswahrscheinlichkeit oder Grenzniveau des Ablehnens?) (German)
Stoch. Sch. 35, No. 2, 21-30 (2015).
Classification: K74
31
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
32
Mustard doughnuts. (Senfkrapfen.) (German)
Stoch. Sch. 35, No. 2, 2-5 (2015).
Classification: K54
33
Motivating inquiry in statistics and probability in the primary classroom. (English)
Teach. Stat. 37, No. 2, 41-47 (2015).
Classification: K52 K63 K53 K63 D32 D33
34
Teaching risk in school. (English)
Math. Enthus. 12, No. 1-3, 168-183 (2015).
Classification: K50 K70 K90 M10 D30
35
Good models and good representations are a support for learners’ risk assessment. (English)
Math. Enthus. 12, No. 1-3, 157-167 (2015).
Classification: K50 K90 K70 M10
36
What can education learn from real-world communication of risk and uncertainty? (English)
Math. Enthus. 12, No. 1-3, 4-10 (2015).
Classification: K50
37
Risk intuitions and perceptions: a case study of four year 13 (grade 12) students. (English)
Math. Enthus. 12, No. 1-3, 330-346 (2015).
Classification: D34 K94 K54 K74 C34
38
Pedagogy of risk: why and how should we teach risk in high school math classes? (English)
Math. Enthus. 12, No. 1-3, 307-329 (2015).
Classification: D30 K90 C20 C60 K50 K70
39
Chance algorithmically ‒ (how good) does it work? (Zufall algorithmisch ‒ (wie gut) geht das?) (German)
Math. Lehren 32, No. 188, 25-29 (2015).
Classification: K53 Reviewer: Renate Stürmer (Zweibrücken)
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Result 21 to 40 of 501 total

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