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Modern Interdisciplinary University Statistics Education Proceedings of a Symposium (1994) / Chapter Skim
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Some International Perspectives
Pages 61-66

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From page 61...
... , and technology as "the effort to use scientific Knowledge for tne ~u~tment of specific purposes. He also says that a technologist, unlike a scientist, must have a "knowledge and experience of a wide range of scientific subjects," and he quotes Fisher: "a professional statistician, as a technologist, must talk the language of both the theoreticians and the practitioners." NOTE: A substantially similar version of this paper was published in the Bulletin of the International Statistical Institute 54, Book 1, 3/7, 1/9.
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From page 62...
... One of the class projects consisted of extrapolating the 1960 census figure from all the previous censuses and the post-census survey data. One biology project under Haldane, of which ~ have a vivid recollection, was to count and record the number of petals on hundreds of flowers of a particular species, so as to learn not only the botanical aspects of these flowers but also statistical concepts including frequency distributions, variation in nature, and so forth.
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From page 63...
... These latter students should be exposed to a wide range of statistical techniques and methods, such as applied multivariate analysis, categorical data analysis, some biostatistics including survival analysis, sampling methods, and time series. They should also be able to effectively use statistical packages for data analysis, be able as consultants to solve general statistical problems from industry and government, and be able to communicate with other scientists.
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From page 64...
... a BA and BS degree in statistical science; (2) an MA in statistics with three possible specializations: applied statistics, mathematical statistics, and operations research; and (3)
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From page 65...
... ~ should also mention in this connection the very successful annual "Careers Day" held by the Southern California Chapter of the American Statistical Association, in which our students participate. This is an excellent way for students to learn about what jobs are available and what kinds of course work prospective employers look for.
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From page 66...
... These topics should be incorporated as well as a host of new and emerging theoretical areas such as inference for stochastic processes, robustness and influence functions, directional data analysis, spatial statistics, unage reconstruction, interacting particle systems, and so on, into statistics curricula alongside the more traditional courses Mat are already offered. References American Statistical Association (ASA)
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