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CPS1447 Russasmita S.P. et al.
             2.  Bakker, A. (2004) ‘Reasoning About Shape As a Pattern in Variability’,
                 Statistics Education Research Journal, 3(2), pp. 64–83.
             3.  Ben-zvi, D., Bakker, A. and Makar, K. (2015) ‘Learning to reason from
                 samples’, (February), pp. 291–303. doi: 10.1007/s10649-015-9593-3.
             4.  Brown, E. C. and delMas, R. (2018) ‘Developing Students’ Causal
                 Understanding of Sampling Variability: A Design Research Study’, in
                 Sorto, M. A., White, A., and Guyot, L. (eds) Looking back, looking
                 forward. Proceedings of the Tenth International Conference on Teaching
                 Statistics (ICOTS10, July, 2018), Kyoto, Japan. Voorburg, Netherlands.
             5.  Dierdorp, A. et al. (2011) ‘Authentic practices as contexts for learning to
                 draw conclusions from correlated data’, Mathematical Thinking and
                 Learning, 13(1–2), pp. 132–151.
             6.  Garfield, J. (2002) ‘The Challenge of Developing Statistical Reasoning’,
                 Journal of St, 10(3), pp. 1–12. doi: 10.1080/10691898.2002.11910676.
             7.  Garfield, J. B. and Ben-zvi, D. (2008) ‘Learning to Reason About Samples
                 and Sampling Distributions’, in Garfield, J. B. and Ben-Zvi, D. (eds)
                 Developing Students’ Statistical Reasoning: Connecting Research and
                 Teaching Practice, p. 235.
             8.  Hunt, A. W., Nipper, K. L. and Nash, L. E. (2011) ‘Virtual vs. Concrete
                 Manipulatives in Mathematics Teacher Education: Is One Type More
                 Effective Than the Other?’, Current Issues in Middle Level Education,
                 16(2), pp. 1–6.
             9.  Kanginan, M. and Kartiwa, A. (2010) Aktif Belajar Matematika untuk kelas
                 XI (Actively Learning Mathematics for Grade 11). Jakarta: Publication
                 Center Department of National Education.
             10. Rubin, A., Bruce, B. and Tenney, Y. (1991) ‘Learning About Sampling :
                 Trouble at the Core of Statistics’, in Proceedings of the third
                 international conference on teaching statistics vol. 1.
             11. Shaughnessy, J. M., Garfield, J. and Greer, B. (1996) ‘Data Handling’, in
                 Bishop, A. J. (ed.) International Handbook of Mathematics Education, pp.
                 205–237.
             12. Takahashi, A., Watanabe, T. and Yoshida, M. (2008) English Translation of
                 the Japanese Mathematics Curricula in the Course of Study. New Jersey:
                 Global Education.
             13. Tversky, A. and Kahneman, D. (1971) ‘Belief in the Law of Small
                 Numbers’, Psychological Bulletin, 76(2), pp. 105–110.
             14. Watson, J. M. and Moritz, J. B. (2000) ‘Developing Concepts of Sampling’,
                 Journal for Research in Mathematics Education, 31(1), pp. 44–70.
             15. Wijaya, A. et al. (2014) ‘Difficulties in solving context-based PISA
                 mathematics tasks : An analysis of students ’ errors’, The Mathematics
                 Enthusiast, 11(3), pp. 555–584.


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