Olympic_Swimming

Hypothesis Testing
Side-By-Side Boxplots
Confidence Intervals
The dataset looks at Olympic swimmers 100 meter races from 1924 to 2020.
Author

Brendan Karadenes

Published

June 13, 2024

Motivation

Olympic swimming has been a sport at every summer Olympics and contains a diverse background of athletes from over 150 countries. Examining the results of this event allows us to have a detailed look into the trend of the athletes that competed over the years.

The dataset contains 606 rows and 10 variables. Each row represents a swimmer that completed their race in the Olympics.

Variable Description
Location hosting city of the Olympics that the swimmer competed in
Year year that the swimmer competed
dist_m distance in meters of the race
Stroke Backstroke, Breaststroke, Butterfly, or Freestyle
Gender gender of swimmer (Male or Female)
Team 3 letter country code the swimmer is affiliated with
Athlete first and last name of the swimmer
Results time, in seconds, that the swimmer completed the race
Rank place of the swimmer in the event out of four
time_period time period that olympian swam in, either “early” (1924-1972) or “recent” (1976-2020)
Data file

olympic_swimming.csv

Questions

  • Construct a hypothesis test to examine if swimmers have gotten quicker over the years
  • Analyze the trend and correlation of a scatterplot of years and times and explain it’s meaning in context
  • Examine side-by-side boxplots to see the relationship between different strokes and times between males and females

References

Olympics