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FullrarQ: How to deal with requests for statistical theories at theundergraduate level? I'm teaching a course in mathematicalstatistics to a 100+ level audience, and my general aim is to leadthe students in their understanding of scientific method bypresenting a series of problems that will expose them tochallenging, yet fairly concrete, questions in the area of inference
that have applications in various fields of research. That's to say, I
try to always have real-world problems and goals in mind. It works
well, because I'm tackling applied areas where there's a healthy
community of scientists who have the challenges and goals in mind
that I'm trying to model. However, just because an area is applied
doesn't necessarily mean that it's "hard" or "boring", and I do use afair amount of abstract concepts in the course. I've been going
through the syllabus to better plan my course, and one thing thathas stuck out as a "standard" for a course in this domain is the useof statistical models, both "easier" and "more interesting" models,
but mathematical models, to describe a problem and expose theassumptions of the model to the students. I've used fairly
straightforward statistical models, to model the relationshipbetween the number of electricians working at a data center andenergy usage in the past, to a more descriptive model of themonth's weather patterns, to a model of the relationship between
wages and the rate of unemployment in a particular industry, andso on. But I'd like to do something "more interesting" in the future,and I have a question: Is there a reason why there are standard
models, like regression models, but then no models for Poisson,
binomial, multinomial and other forms of binomial distributions,page 3 / 4

models for distinguishing between two distributions, and models
for drawing from a multivariate normal distribution? The reason
why I ask is because Poisson, binomial and multinomial
distribution models are very important in statistics and in a course
in applied statistics. That is, even if I'm able to find some simple
examples to motivate these models, the few teachers who are able
to do that may not know that they're important and what they can
do with them, and it's been my experience that people who are notstatistics majors don't really understand these models. So I'mwondering what those things might be. Thank f678ea9f9e
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