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Because these sets of predictions are very concrete, they allow you to ask a well-defined question, and you can design experiments to answer that question.
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Ask a well-defined environmental science, policy or management question.
Put in a crude example, this would amount to saying that to ask for a system's energy is a well-defined question, while to ask for the square of the system's energy is not, even if, from our answer to the first question and trivial mathematics, we have a well-defined answer at hand.
Then a well-defined question to ask is: What is the largest fraction, f, of the history that is estimable from a given sample?
1. Was a well-defined question posed in an answerable form? 2. What is the question being asked in the report?
This is a well-defined question and its analysis can provide direct implications.
Thus the question of whether a path has a finite or infinite generalized affine length is a perfectly well-defined question, and that is all we'll need.
It's actually not a very well-defined question because our noses are slightly different shapes, so what exactly would that mean?
Conceptually these two items, which require specific objectives and a well-defined clinical question, fit well with a process of rigorous development.
Given a well-defined causal question that is of policy priority, the next step is to articulate the question in the form of a counterfactual conditional statement.
Articulate a well-defined research question, conduct independent research using primary sources and a variety of theoretical and methodological approaches, and write a substantive research paper.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com