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98.34 The definition of the sample variance

Published online by Cambridge University Press:  25 August 2015

David L. Farnsworth  and
Michael E. Long
David L. Farnsworth
Affiliation:
School of Mathematical Sciences, 84 Lomb Memorial Drive, Rochester Institute of Technology, Rochester, NY 14623 USA e-mail: [email protected]
Michael E. Long
Affiliation:
Chester F. Carlson Center for Imaging Science, 84 Lomb Memorial Drive, Rochester Institute of Technology, Rochester NY 14623 USA e-mail [email protected]
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Abstract

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Information
The Mathematical Gazette , Volume 98 , Issue 543 , November 2014 , pp. 511 - 517
Copyright
Copyright © The Mathematical Association 2014

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References

1. Johnson, R.A., Miller & Freund’s probability and statistics for engineers (8th edn.), Prentice Hall (2011).Google Scholar
2. Montgomery, D.C., Runger, G.C. and Hubele, N.F., Engineering statistics (3rd edn.), Wiley (2004).Google Scholar
3. Triola, M.F., Elementary statistics (11th edn.), Addison-Wesley (2010).Google Scholar
4. Sahai, H. and Misra, S., Definitions of sample variance: Some teaching problems to be overcome, The Journal of the Royal Statistical Society, Series D, 41 (1992) pp. 55–64.Google Scholar
5. Joarder, A.H., Sample variance and first-order differences of observations, The Mathematical Scientist, 28 (2003) pp. 129–133.Google Scholar
6. Devore, J.L., Probability and statistics for engineering and the sciences (8th edn.), Brooks/Cole (2012).Google Scholar
7. Brase, C.H. and Brase, C.P., Understandable statistics: concepts and methods (10th edn.), Brooks/Cole (2012).Google Scholar
8. Weiss, N.A., Elementary statistics (6th edn.), Pearson, (2005).Google Scholar
9. Rayner, J.C.W. and Best, D.J., What divisor for the sample variance? Teaching Statistics, 13 (1991) pp. 85–87.Google Scholar
10. Kutner, M.H., Nachtsheim, C.J., Neter, J., and Li, W., Applied linear models (5th edn.), McGraw-Hill (2005).Google Scholar
11. Conover, W.J., Practical nonparametric statistics (2nd edn.), Wiley (1980).Google Scholar
12. Daniel, W.W., Applied nonparametric statistics (2nd edn.), Duxbury (1990).Google Scholar
13. Gibbons, J.D., Nonparametric statistical inferences (2nd edn., revised and expanded), Marcel Dekker (1985).Google Scholar
14. Hollander, M. and Wolfe, D.A., Nonparametric statistical methods (2nd edn.), Wiley (1999).Google Scholar
15. Farnsworth, D.L., A cautionary note concerning the Cox and Stuart test, Teaching Statistics, 23 (2001) pp. 76–79.Google Scholar