Prospective secondary school teachers’ knowledge of sampling distribution properties
Author:
Affiliation:
1. Department of Mathematics, University of Zaragoza, Zaragoza, SPAIN
2. Research Group FQM126, University of Granada, Granada, SPAIN
3. Department of Mathematics Education, University of Granada, Granada, SPAIN
Abstract
Publisher
Modestum Ltd
Subject
Applied Mathematics,Education
Link
https://www.ejmste.com/download/prospective-secondary-school-teachers-knowledge-of-sampling-distribution-properties-13159.pdf
Reference44 articles.
1. Alshehri, K. A., & Youssef, N. H. (2022). The influence of mathematical knowledge for teaching towards elementary teachers’ mathematical self-efficacy. EURASIA Journal of Mathematics, Science and Technology Education, 18(6), em2118. https://doi.org/10.29333/ejmste/12086
2. Ball, D. L., Thames, M. H., & Phelps, G. (2008). Content knowledge for teaching: What makes it special? Journal of Teacher Education, 59(5), 389-407. https://doi.org/10.1177/0022487108324554
3. Batanero, C., Begué, N., Borovcnik, M., & Gea, M. (2020). Ways in which high school students understand the sampling distribution for proportions. Statistics Education Research Journal, 19(3), 32-52. https://doi.org/10.52041/serj.v19i3.55
4. Begué, N., Batanero, C., & Gea, M. M. (2018). Comprensión del valor esperado y variabilidad de la proporción muestral por estudiantes de educación secundaria obligatoria [Understanding the expected value and variability of the sample proportion by compulsory secondary education students]. Enseñanza de las Ciencias, 36(2), 63-79. https://doi.org/10.5565/rev/ensciencias.2256
5. Begué, N., Batanero, C., Ruiz, K., & Gea, M. M. (2019). Understanding sampling: A summary of the research. Boletín de Estadística e Investigación Operativa, 35(1), 49-78.
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