**Who
should teach statistics?**

*“Most people are taught to
drive by another driver, rather that by an engineer or mechanic, and it is
perhaps reasonable to assume that a fellow statistics user is the best person to
convey the principles. A certain amount of extra knowledge is useful, to explain
the basis of concepts such as sums-of-squares; for example, but the basic
procedures and, equally importantly, the “rules of the road”, can be taught
by a non-specialist. Indeed, a mathematician may not have the necessary insight
into a biologist’s mind to appreciate the degree of simplification required.**
**A biologist may be better equiped
to understand this, and also to know the diversity of backgrounds from which a
biological course draws its students.”*

Kelly
M. 1992. Teaching statistics to biologists. *Journal of Biological Education* 26: 200-204.

*“Perhaps the greatest
advances in statistics over the past century have come from those whose
interests and training have come from outside the field, e.g., Galton, Gossett,
Box, and Tukey.”
*

*
*Fienberg
S.E. 1994. Invited comment. *Am**erican** Stat**istician*
48: 71-72.

*“**The
statistician and the scientist/technologist will find more in common, to the
advantage, I believe, of both, if their education can be more closely linked.*

Firstly,
the statistician: during training (s)he should take part in a designed study or
experiment, becoming involved in the design, the planning of data collection,
the actual collection of the data themselves, and the subsequent analysis. This
in turn will involve becoming *au fait* with some relevant existing theory
in a particular field of application together with the previous data. [...]*” *

Nelder
J.A. 1986. Statistics, Science and Technology. *Journal of the Royal
Statistical Society A* 149: 109-121.

"In conclusion, we again note that statisticians are naturally inclined to emphasize the formal aspects of inferential methodology, such as using efficient or unbiased estimators. The basic underlying assumptions, discussed in this article, are well known, but in the past have often been inadequately communicated. We urge a greater recognition of this highly important "soft side" of statistics in our training of students and in our support of clients."

Hahn G.J. & Meeker W.Q. 1993. Assumptions for
statistical inference. *American* *Statistician* 47: 1-11.

"La estadística es, con mucho, demasiado importante como para dejarla por completo a los estadísticos.”

George BOX *p*.
xiii *in* Johnson D.E. 2000 *Métodos multivariados aplicados al análisis
de datos.*