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Statistics for Those Who Hate Statistics
Abstract
When we analyze quantitative evidence (e.g., numbers) that describe a particular situation or phenomenon, we often need to generate coefficients based on specific statistical tests to reach reasonable conclusions. Visually inspecting a table full of numbers, for example, can be quite confusing, and the related conclusions may be deceiving. This is one of the reasons why statistical tests are important. The more quantitative evidence we have to analyze, the more difficult it is to inspect it visually, and so the more important those statistical tests become.
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