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Quantitative Thinking: Induction, Deduction, Estimation, Hypothesis Testing, Study notes of Biology

An overview of quantitative thinking, including the use of induction and deduction, estimation techniques, hypothesis testing, data types, and the structure of observations. Topics covered include the logic of quantitative thinking, estimation methods, testing hypotheses, types of variables, and the iid criterion.

Typology: Study notes

Pre 2010

Uploaded on 08/30/2009

koofers-user-ap2
koofers-user-ap2 🇺🇸

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Download Quantitative Thinking: Induction, Deduction, Estimation, Hypothesis Testing and more Study notes Biology in PDF only on Docsity! USES OF QUANTITATIVE THINKING Induction: how many, how big, how often, how variable, how distributed Deduction: if X is true, the how likely am I to see Y LOGIC OF THINKING QUANTITATIVELY Estimation -- What is the biological question? -- What do I want to estimate? -- How precisely do I want to estimate it? -- How much data am I willing to take? -- How shall I take those data? -- Calculations -- Conclusions Testing Hypotheses -- What is the biological question? -- Which data are necessary to address that question? -- If THIS is true, then could THAT be so? -- How much data am I willing to take? -- How willing am I to accept that THIS is true? -- Calculations -- Conclusions THE NATURE OF DATA Types of Variables -- Classifying Variables -- Categorical (attributes, non-ordered vs. ordered) -- Ordinal or ranked data -- Mensural or metric -- meristic: discrete with many states, integers -- continuous: all values possible, arbitrary cut-offs significant digits: if 12.3 cm = x, then 12.25 < x < 12.34999999… if 12.33 cm = x, then 12.325 < x < 12.33499999… What do you wish to measure; how precisely do you wish to measure it?
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