Finch beaks and the need for statistics

Statistical Thinking in Python (Part 2)

Justin Bois

Lecturer at the California Institute of Technology

Your well-equipped toolbox

  • Graphical and quantitative EDA
  • Parameter estimation
  • Confidence interval calculation
  • Hypothesis testing
Statistical Thinking in Python (Part 2)

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1 Image: Public domain, US
Statistical Thinking in Python (Part 2)

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1 Image: NASA
Statistical Thinking in Python (Part 2)

The island of Daphne Major

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1 Image: Grant and Grant, 2014
Statistical Thinking in Python (Part 2)

The finches of Daphne Major

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1 Source: John Gould, public domain
Statistical Thinking in Python (Part 2)

Our data source

  • Peter and Rosemary Grant
    • 40 Years of Evolution: Darwin's Finches on Daphne Major Island
    • Princeton University Press, 2014
  • Data acquired from Dryad Digital Repository

dryad.png

Statistical Thinking in Python (Part 2)

The dimensions of the finch beak

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1 Source: John Gould, public domain
Statistical Thinking in Python (Part 2)

The dimensions of the finch beak

ch5-1.020.png

1 Source: John Gould, public domain
Statistical Thinking in Python (Part 2)

Investigation of G. scandens beak depth

  • EDA of beak depths in 1975 and 2012
  • Parameter estimates of mean beak depth
  • Hypothesis test: did the beaks get deeper?
Statistical Thinking in Python (Part 2)

Let's practice!

Statistical Thinking in Python (Part 2)

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