I’d be happy to talk with you. 310 717-9089 ]]>

I’m wondering if you would be open to chatting to me about your experience in using SAS and Dragon. I have an employee who is returning from long term disability and we are trying to figure out the feasibility of them using Dragon in order to continue as a SAS programmer. It sounds promising from your post. It would also be interesting to hear a bit more detail about the efficiency of using Dragon versus typing code.

Kind regards

Colleen

B) clutch my pearls– two weeks without a post! Ha. Far more prolific than most blogs

3) imagining old fruit flys reminiscing about the past– the good ole days– 27 days ago

]]>I’m not arguing the world needs less mathematics – my company makes math games, after all. There is a limited amount of information one can teach in a college course. If a statistics course is all about the equations and none about the application, I think it is unbalanced.

]]>It seems that once you’ve underwent the considerable training in abstraction and analysis that a mathematician does, practicality is not easy to keep track of.

The mathematician who spends 12 pages on the foundations of the topic is (hopefully not) merely showing off, but instead legitimately concerned with the validity of the mathematical propositions in their work. One thing every student of pure mathematics notices when they take a probability course (which is oftentimes taught by statisticians who have very little training in analysis and measure theory) is that the foundations of the topic are very unsatisfactory. That lack in proper foundation is not just bothersome to esoteric mathematicians, it has widespread consequences in the poor application of statistics in the sciences and (especially) the financial sector. The prime example of the problem of the absence of mathematics in statistics is the nightmare of p-values. There’s a few mathematicians who have made entire careers out of pointing out nonsensical results justified by the “statistical significance” of a small p-value.

I’m not familiar with other countries, but in the U.S. I would say there’s a significant number of people being awarded degrees in Mathematics with a specialization in Statistics who were taught to take an integral for 3 semesters and then learned how to make confidence intervals in R before being sent out to the job market. I get the feeling from people who use statistics in their everyday life that they are in dire need of people with the ability to backup their statistics with actual mathematical foundation. Of all the things we are in desperate need of in science, less mathematics is not one of them.

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