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Writing, Research, Applied Thinking and Applied Theory: Solutions with Interesting Implications, Problem Solving, Teaching and Research driven solutions
Explores writing, applications of thought and theory, solutions, engineering, design, DIY, Interesting approaches to problems, examples of interdisciplinary explorations and solutions.
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Understanding Descriptive Statistics

Understanding Descriptive Statistics | Writing, Research, Applied Thinking and Applied Theory: Solutions with Interesting Implications, Problem Solving, Teaching and Research driven solutions | Scoop.it
This is an article about descriptive statistics
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Statistics Is Not Math: Update To Allow New Comments

Statistics Is Not Math: Update To Allow New Comments | Writing, Research, Applied Thinking and Applied Theory: Solutions with Interesting Implications, Problem Solving, Teaching and Research driven solutions | Scoop.it
Update Hello newcomers. Posts usually close for comments after two weeks. But since this one is getting so many views, I moved it up to re-open comments. "Here is a column of a couple of dozen numb...
Sharrock's insight:

This blog explores the differences between statistics as a discipline and mathematics. I started wondering why the two were referred to as separate. It turns out, they are different.

 

from the blog: "Statistics rightly belongs to epistemology, the philosophy of how we know what we know. Probability and statistics can even be called quantitative epistemology. Our axioms concern themselves with what probability means; that is, of the interpretation of uncertainty. But we abandon those axioms too quickly, choosing instead to follow the path of equations, nearly always skimping on what those equations actually mean."

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Philosophy | William M. Briggs

William M. Briggs - Statistician to the Stars!
Sharrock's insight:

to read, perchance to...understand.

 

I want to read all of the articles here. I haven't though. His confidence in his understanding of statistics is infectious though. Amazing that one of his points is that there is no certainty. Teaching that statistics is a kind of applied epistmeology interests me. 

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