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Result 1 to 20 of 78 total

Students’ use of slope conceptualizations when reasoning about the line of best fit. (English)
Educ. Stud. Math. 92, No. 2, 163-177 (2016).
Classification: K83 C33
1
Pareto income distribution. (Pareto-Einkommensverteilung.) (German)
Stoch. Sch. 36, No. 1, 10-14 (2016).
Classification: M40 K60
2
Teaching students not to dismiss the outermost observations in regressions. (English)
J. Stat. Educ. 23, No. 3, 29 p., electronic only (2015).
Classification: K85
3
Examining student conceptions of covariation: a focus on the line of best fit. (English)
J. Stat. Educ. 23, No. 1, 33 p., electronic only (2015).
Classification: K83 K43 N53
4
Tackling misconceptions about linear associations. (English)
Math. Teach. (Reston) 109, No. 1, 46-53 (2015).
Classification: K80
5
Reconciling the least-squares and point-slope forms of a line for the two-point problem. (English)
Math. Comput. Educ. 49, No. 3, 167-176 (2015).
Classification: K85
6
Identical twins raised apart. (English)
Teach. Stat. 37, No. 1, 1-6 (2015).
Classification: K80
7
Endangered species: a population simulation. (English)
Ohio J. Sch. Math. 71, 16-19 (2015).
Classification: M60 U70 K80 K90
8
Regression line. (La retta di regressione.) (Italian)
Archimede 66, No. 3, 133-138 (2014).
Classification: K84
9
A classroom investigation of the effect of population size and income on success in the London 2012 Olympics. (English)
J. Stat. Educ. 22, No. 2, 20 p., electronic only (2014).
Classification: K80 M90 D80
10
A regression-based interpretation of the inverse of the sample covariance matrix. (English)
Spreadsheets Educ. 7, No. 1, 31 p., electronic only (2014).
Classification: K85 M35 H65 U75
11
Parametric statistics and the general linear model. (English)
Spreadsheets Educ. 7, No. 3, 22 p., electronic only (2014).
Classification: K75 K85 H65 U75
12
Implications of technology on what students need to know about statistics. (English)
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). 143-152 (2014).
Classification: K47 K77 K87 K67 U77
13
Polynomial regression: a linear vector space perspective. (English)
Math. Comput. Educ. 48, No. 2, 164-177 (2014).
Classification: K85 H65
14
A limitation with least squares predictions. (Bei Vorhersagen sind manche Ausgangsdaten unwichtig.) (German)
Stoch. Sch. 34, No. 2, 22-23 (2014).
Classification: K80
15
Basics of modern mathematical statistics. Exercises and solutions. (English)
Springer Texts in Statistics. Berlin: Springer (ISBN 978-3-642-36849-3/pbk; 978-3-642-36850-9/ebook). xxv, 185~p. (2014).
Classification: K75 K85 K45 Reviewer: Irina Ioana Mohorianu (Norwich)
16
Implementation of discovery projects in statistics. (English)
J. Stat. Educ. 21, No. 3, 24 p., electronic only (2013).
Classification: K75 K85 D85 D45
17
The evidence for efficacy of HPV vaccines: investigations in categorical data analysis. (English)
J. Stat. Educ. 21, No. 3, 21 p., electronic only (2013).
Classification: K45 K75 K85 D75 M65
18
Using the coefficient of determination $R^{2}$ to test the significance of multiple linear regression. (English)
Teach. Stat. 35, No. 2, 84-88 (2013).
Classification: K80
19
A limitation with least squares predictions. (English)
Teach. Stat. 35, No. 2, 80-83 (2013).
Classification: K80
20
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Result 1 to 20 of 78 total

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