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Interdisciplinary relations of school mathematics and biology. (English)
Šedivý, Ondrej (ed.) et al., Acta Mathematica 17. Proceedings of the 12th Nitra mathematics conference, Department of Mathematics, Faculty of Natural Sciences, Constantine The Philosopher University in Nitra, Slovakia, June 19, 2014. Nitra: Constantine The Philosopher University in Nitra, Faculty of Natural Sciences (ISBN 978-80-558-0613-6). Prírodovedec 578, 81-86 (2014).
Classification: M60
61
Biostatistical variations on the fourfold talbe. (Variations biostatistiques sur les tables $2\times 2$.) (French)
Losanges, No. 24, 13-23 (2014).
Classification: K70 M60
62
The role of causal models in multiple judgments under uncertainty. (English)
Cognition 133, No. 3, 611-620 (2014).
Classification: K50 K40 M60
63
Including the Tukey mean-difference (Bland-Altman) plot in a statistics course. (English)
Teach. Stat. 36, No. 3, 83-87 (2014).
Classification: K40 M60
64
The body mass index ‒ from Quetelet to Haldane. (Der Body-Mass-Index ‒ von Quetelet zu Haldane.) (German)
Wassong, Thomas (ed.) et al., Mit Werkzeugen Mathematik und Stochastik lernen. Heidelberg: Springer Spektrum (ISBN 978-3-658-03103-9/pbk; 978-3-658-03104-6/ebook). 15-30 (2014).
Classification: M60 K40 A30 F80
65
Is Bayes’ formula suitable for court hearings? (Eignet sich die Formel von Bayes für Gerichtsverfahren?) (German)
Sproesser, Ute (ed.) et al., Daten, Zufall und der Rest der Welt. Didaktische Perspektiven zur anwendungsbezogenen Mathematik. Wiesbaden: Springer Spektrum (ISBN 978-3-658-04668-2/pbk; 978-3-658-04669-9/ebook). 123-132 (2014).
Classification: K50 D70 M90 M60
66
On understanding variability in data: a study of graph interpretation in an advanced experimental biology laboratory. (English)
Educ. Stud. Math. 86, No. 3, 359-376 (2014).
Classification: K40 M60
67
On penguins, water, data and functions ‒ phenomena and their modeling in mathematics instruction. (Von Pinguinen, Wasser, Daten und Funktionen ‒ Phänomene und ihre Modellierungen im Mathematikunterricht.) (German)
Sproesser, Ute (ed.) et al., Daten, Zufall und der Rest der Welt. Didaktische Perspektiven zur anwendungsbezogenen Mathematik. Wiesbaden: Springer Spektrum (ISBN 978-3-658-04668-2/pbk; 978-3-658-04669-9/ebook). 267-280 (2014).
Classification: K40 M60
68
Bee mathematics ‒ observing bees, surveying, representing and evaluating data on bees with the students’ lab HOBOS. (Bienenmathematik ‒ Bienen beobachten, Daten über Bienen erheben, darstellen und auswerten mit dem Schülerlabor HOBOS.) (German)
Sproesser, Ute (ed.) et al., Daten, Zufall und der Rest der Welt. Didaktische Perspektiven zur anwendungsbezogenen Mathematik. Wiesbaden: Springer Spektrum (ISBN 978-3-658-04668-2/pbk; 978-3-658-04669-9/ebook). 247-257 (2014).
Classification: K40 M60
69
Nuts, fish, babies, and nuts: modeling with cubic and nearly-cubic functions. (English)
Sproesser, Ute (ed.) et al., Daten, Zufall und der Rest der Welt. Didaktische Perspektiven zur anwendungsbezogenen Mathematik. Wiesbaden: Springer Spektrum (ISBN 978-3-658-04668-2/pbk; 978-3-658-04669-9/ebook). 71-86 (2014).
Classification: K40 K80 M60
70
Counting or caring: examining a nursing aide’s third eye using Bourdieu’s concept of habitus. (English)
Adults Learn. Math. 9, No. 1, 69-83 (2014).
Classification: C67 C37 M60 B60
71
Modeling: scenes from lessons. (Modellieren: Szenen aus dem Unterricht.) (German)
Henn, Hans-Wolfgang (ed.) et al., Neue Materialien für einen realitätsbezogenen Mathematikunterricht. Band 1. Heidelberg: Springer Spektrum (ISBN 978-3-658-03627-0/pbk; 978-3-658-03628-7/ebook). Realitätsbezüge im Mathematikunterricht; ISTRON-Schriftenreihe, 14-26 (2014).
Classification: M50 M60 M90 U70
72
Optimization methods for alternative statistical distributions. (Optimierungsverfahren für alternative statistische Verteilungen.) (German)
Stoch. Sch. 34, No. 2, 2-8 (2014).
Classification: K60 K70 M50 M60
73
Revisiting the medical diagnosis problem: reconciling intuitive and analytical thinking. (English)
Chernoff, Egan J. (ed.) et al., Probabilistic thinking. Presenting plural perspectives. Dordrecht: Springer (ISBN 978-94-007-7154-3/hbk; 978-94-007-7155-0/ebook). Advances in Mathematics Education, 215-237 (2014).
Classification: K50 M60
74
Statistical thinking: no one left behind. (English)
Chernoff, Egan J. (ed.) et al., Probabilistic thinking. Presenting plural perspectives. Dordrecht: Springer (ISBN 978-94-007-7154-3/hbk; 978-94-007-7155-0/ebook). Advances in Mathematics Education, 127-148 (2014).
Classification: K50 K40 C30 M60 D70
75
Randomizing roaches: exploring the ‘bugs’ of randomization in experimental design. (English)
Teach. Stat. 36, No. 1, 13-20 (2014).
Classification: M60 K40 K50
76
Teaching statistics using classic psychology research: an activities-based approach. (Klassische Forschung aus der Psychologie als Aufhänger um Statistik zu unterrichten: ein durch aktives Lernen geprägter Zugang.) (German)
Stoch. Sch. 34, No. 1, 13-17 (2014).
Classification: K40 K70 M60
77
Undergraduate mathematics for the life sciences. Models, processes, and directions. (English)
MAA Notes 81. Washington, DC: The Mathematical Association of America (MAA) (ISBN 978-0-88385-191-3/pbk; 978-1-61444-316-2/ebook). xvii, 207~p. (2013).
Classification: A60 D30 M60
78
Using CAS to show chaos game representations of DNA sequences. (English)
Int. J. Technol. Math. Educ. 20, No. 3, 125-130 (2013).
Classification: M60 I90 U70
79
Introducing the slippery point to represent exponential growth. (Une approche de la croissance exponentielle par l’introduction d’une virgule glissante.) (French. English summary)
Ann. Didact. Sci. Cogn. 18, 91-113 (2013).
Classification: I20 F50 M60
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Result 61 to 80 of 765 total

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