History


Help on query formulation
first | previous | 1 21 41 61 81 101 | next | last

Result 1 to 20 of 640 total

How can histograms be useful for introducing continuous probability distributions? (English)
ZDM, Math. Educ. 48, No. 6, 757-773 (2016).
Classification: K64 D44 C74 D20
1
Estimating risks of losses. (Abschätzung von Verlustrisiken.) (German)
Stoch. Sch. 36, No. 2, 20-24 (2016).
Classification: K90 M30 M40
2
Impact of misclassification on estimation of a single proportion. (English)
Math. Comput. Educ. 50, No. 2, 109-113 (2016).
Classification: K70
3
From normal distribution to arcsine distribution. (Von der Normalverteilung zur Arcussinus-Verteilung.) (German)
Stoch. Sch. 36, No. 2, 25-26 (2016).
Classification: K60
4
If you don’t find anything, is there really nothing there? (English)
Parabola 52, No. 1, 6 p., electronic only (2016).
Classification: K60 K70
5
A geometric view of the mean of a set of numbers. (English)
Teach. Stat. 38, No. 3, 77-82 (2016).
Classification: K40
6
The conceptual understanding of variability in the data distributions. (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). 117-118 (2016).
Classification: K40 C30
7
Development of an understanding of a sampling distribution. (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). 63-70 (2016).
Classification: K40
8
$β$-reciprocal polynomials. (English)
Int. J. Math. Educ. Sci. Technol. 47, No. 5, 762-766 (2016).
Classification: H30 K60
9
Explorations as an instructional mode. (Explorationen als Unterrichtsform.) (German)
Stoch. Sch. 36, No. 2, 10-16 (2016).
Classification: D40 K10
10
Web application teaching tools for statistics using R and Shiny. (English)
Technol. Innov. Stat. Educ. 9, No. 1, 1-32, electronic only (2016).
Classification: U70 K10
11
Pareto income distribution. (Pareto-Einkommensverteilung.) (German)
Stoch. Sch. 36, No. 1, 10-14 (2016).
Classification: M40 K60
12
Careful with the empirical rule. (Vorsicht bei der Sigma-Regel.) (German)
PM Prax. Math. Sch. 58, No. 67, 44-47 (2016).
Classification: K60 K70
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
14
Erratum to: “The antiderivative of the Gaussian normal distribution". (Korrektur zum Artikel “Die Stammfunktion der Gaußschen Normalverteilung".) (German)
Wurzel 50, No. 1, 9 (2016).
Classification: K60 I50 N50
15
The hypergeometric distribution: an application from poker. (English)
Math. Spectr. 48, No. 2, 62-64 (2016).
Classification: K50 K60 M90
16
Crime scenes and mystery players! Using driving questions to support the development of statistical literacy. (English)
Teach. Stat. 38, No. 1, 29-35 (2016).
Classification: K43 M93 D43
17
Statistics and probabilities: the novelties of the repository. (Statistique et probabilités: les nouveautés du référentiel.) (French)
Losanges 32, 35-40 (2016).
Classification: K40 K50
18
A serendipitious encounter with a Bessel function. (English)
Math. Spectr. 48, No. 2, 50-53 (2016).
Classification: I25 I75 K65
19
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
20
first | previous | 1 21 41 61 81 101 | next | last

Result 1 to 20 of 640 total

Valid XHTML 1.0 Transitional Valid CSS!