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Introductory Statistics textbooks: crisis or opportunity?

교양 통계학 교재: 위기인가? 기회인가?

  • Received : 2021.10.13
  • Accepted : 2021.11.04
  • Published : 2022.02.28

Abstract

Recently, the number of students taking basic statistics in liberal arts courses at universities nationwide has been increasing significantly. Students who learn statistics only for one semester are more likely to live as consumers than producers of statistical analysis in the future. What consumers need is statistical literacy and thinking skills rather than statistical methods. This paper deals with what points should be considered in order to develop textbooks that improve statistical thinking.

최근 전국 대학에서 교양 통계학을 배우는 학생이 크게 늘고 있다. 2022년 대학수능에서 수학영역의 선택과목으로 확률과 통계를 선택한 학생은 53.2%를 차지했다. 통계를 한 학기만 배우고 졸업하는 통계 비전공 학생들은 미래에 데이터를 통계적으로 분석하는 생산자보다 소비자로 살아갈 가능성이 높다. 통계 소비자가 배워야 할 것은 요리법처럼 각종의 통계 분석 기법이 아닌 통계적 문해력과 사고력이다. 이 논문은 통계적 사고력을 함양하는 교양 통계학 교재를 개발하기 위해 고려해야 할 사항들을 논의한다.

Keywords

References

  1. Amoon AT, Crespi CM, Ahlbom A et al. (2018). Proximity to overhead power lines and childhood leukaemia: an international pooled analysis, Br J Cancer, 119, 364-373. https://doi.org/10.1038/s41416-018-0097-7
  2. ASA (2005). Guidelines for Assessment and Instruction in Statistics Education: College Report, Washington, DC: American Statistical Association.
  3. Choi S and Han K (2019). Introductory statistics class using e-textbook in face-to-face classroom environment, The Korean Journal of Applied Statistics, 32, 683-692. https://doi.org/10.5351/KJAS.2019.32.5.683
  4. Cobb GW (1987). Introductory textbooks: A framework for evaluation, Journal of the American Statistical Association, 82, 321-339. https://doi.org/10.1080/01621459.1987.10478436
  5. Cobb GW (1992). Teaching Statistics. In Heeding the Call for Change: Suggestions for Curricular Action (MAA Notes No. 22)(pp. 3-43), Washington, D.C.: The Mathematical Association of America.
  6. Cobb GW (2007). The introductory statistics course: A ptolemaic curriculum?, Technology Innovations in Statistics Education, 1.
  7. Dunn PK, Carey MD, Farrar MB, Richardson AM, and McDonald C (2017). Introductory statistics textbooks and the GAISE recommendations, The American Statistician, 71, 326-335. https://doi.org/10.1080/00031305.2016.1251972
  8. Franklin C, Kader G, Mewborn DS, Moreno J, Peck R, Perry M, and Scheaffer R (2007). Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K-12 Curriculum Framework, American Statistical Association.
  9. Freedman D, Pisani R, and Purves R (1978). Statistics, Norton, New York.
  10. GAISE College Report ASA Revision Committee (2016). Guidelines for Assessment and Instruction in Statistics Education College Report 2016, American Statistical Association.
  11. Garfield J (2000). An Evaluation of the Impact of Statistics Reform: Final Report, National Science Foundation (REC-9732404).
  12. Ioannidis JPA (2005). Why most published research findings are false, PLoS Medicine 2, 2.
  13. Lock RH, Lock PF, Morgan KL, Lock EF, and Lock DF (2017). Statistics: Unlocking the Power of Data, Wiley.
  14. Moore DS (1979). Statistics: Concepts and Controversies, New York: W. H. Freeman.
  15. Mosteller F, Rourke R, and Thomas G (1961). Probability with Statistical Applications, Addison-Wesley Publishing Company.
  16. Ramsey FL and Schafer DW (2002). The Statistical Sleuth, Pacic Grove, CA: Duxbury.
  17. Tintle N, Chance B, Cobb G, Rossman A, Roy S, Swanson T, and VanderStoep J (2016). Introduction to Statistical Investigations, Hoboken, New Jersey, NJ: Wiley.
  18. Trafimow D and Marks M (2015). Editorial, Basic and Applied Social Psychology, 37, 1-2. https://doi.org/10.1080/01973533.2015.1012991
  19. Wasserstein RL and Lazar NA (2016). The ASA's statement on p-values: context, process, and purpose, The American Statistician, 70.