Do swimmers go faster in the finals?

Case Studies in Statistical Thinking

Justin Bois

Lecturer, Caltech

Event Time Venue Date Round
100 m free 47.51 Beijing 2008-08-11 Final
200 m free 1:42.96 Beijing 2008-08-12 Final
400 m free 3:47.79 Indianapolis 2005-04-01 Final
100 m back 53.01 Indianapolis 2007-08-03 Final
200 m back 1:54.65 Indianapolis 2007-08-01 Final
100 m breast 1:02.57 Columbia 2008-02-17 Final
200 m breast 2:11.30 San Antonio 2015-08-10 Final
100 m fly 49.82 Rome 2009-08-01 Final
200 m fly 1:51.51 Rome 2009-29-07 Final
200 m IM 1:54.16 Shanghai 2011-07-28 Final
400 m IM 4:03.84 Beijing 2008-08-10 Final
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Event Time Venue Date Round
50 m free 23.67 Budapest 2017-07-29 Semifinal
100 m free 51.71 Budapest 2017-07-23 Final
200 m free 1.54.08 Rio de Janeiro 2016-08-09 Final
400 m free 4.06.04 Amiens 2014-03-16 Final
50 m back 27.80 Borås 2017-06-30 Final
100 m back 59.98 Eindhoven 2015-04-05 Final
50 m fly 24.43 Borås 2014-07-05 Final
100 m fly 55.48 Rio de Janeiro 2016-08-07 Final
Case Studies in Statistical Thinking

Your question

Do swimmers swim faster in the finals than in other rounds?

  • Individual swimmers, or the whole field?
  • Faster than heats? Faster than semifinals?
  • For what strokes? For what distances?
Case Studies in Statistical Thinking

Your question

Do individual female swimmers swim faster in the finals compared to the semifinals?

Events: 50, 100, 200 meter freestyle, breaststroke, butterfly, backstroke

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Diff'rent strokes

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Fractional improvement

$$f = \frac{\text{semifinals time} - \text{finals time}}{\text{semifinals time}}$$

Case Studies in Statistical Thinking

Your question(s)

Original question:

  • Do swimmers swim faster in the finals than in other rounds?

Sharpened questions:

  • What is the fractional improvement of individual female swimmers from the semifinals to the finals?

  • Is the observed fractional improvement commensurate with there being no difference in performance in the semifinals and finals?
Case Studies in Statistical Thinking

Let's practice!

Case Studies in Statistical Thinking

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