Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
권호 표지
DOI QR코드

DOI QR Code

A Comment for Teaching Correlation Coefficient in Elementary Statistics Course

  • Oh, Myong-Sik (Department of Statistics, Pusan University of Foreign Studies)
  • Published : 2007.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

A effective teaching method on correlation coefficient for elementary level statistics course is discussed in this article. The well known inequalities, such as Theorem 368 of Hardy et al. (1952), are used for the interpretation of concept of covariance. An Excel example is provided for the illustration of concept of correlation coefficient.

Keywords

References

  1. 최수일 (2006). 제7차 교육과정 고등학교 확률과 통계 교육의 문제점. 한국통계학회 2006년 춘계 학술발표회 논문집, 91-97, 한국통계학회
  2. Casella, G. and Berger, R. L. (2002). Statistical Inference. 2nd ed., Duxbury, Pacific Grove
  3. Hardy, G., Littlewood, J. E. and Polya, G. (1952). Inequalities. 2nd ed., Cambridge University Press, New York
  4. Hogg, R. V., McKean, J. W. and Craig, A. T. (2005). Introduction to Mathematical Statistics. 6th ed., Prentice Hall, Upper Saddle River
  5. Koch, G. G. (1985). A basic demonstration of the [-1,1] range for the correlation coefficient. The American Statistician, 39, 201-202
  6. Leung, C.-K., and Lam, K. (1975). A note on the geometric representation of the correlation coefficients. The American Statistician, 29, 128-130 https://doi.org/10.2307/2683440
  7. Rodgers, J. L. and Nicewander, W. A. (1988). Thirteen ways to look at the correlation coefficient. The American Statistician, 42, 59-66 https://doi.org/10.2307/2685263
  8. Rovine, M. J. and von Eye, A. (1997). A 14th way to look at a correlation coefficient: Correlation as the proportion of matches. The American Statistician, 51, 42-46 https://doi.org/10.2307/2684692