Datafiles
- Wind_speed Download .TXT file Open in Data Desk ?
- Methods: Blocking, Comparing Two Groups, Confidence Intervals for Means, Paired Data, Regression
- Source: unknown
- Number of Cases: 1114
- Excerpt:
- Wine_consumption Download .TXT file Open in Data Desk ?
- Methods: Center, Display Quantitative Variable, Shape, Spread, Summaries
- Source: pubs.niaaa.nih.gov/publications/Surveillance95/tab1_10.htm
- Number of Cases: 30
- Excerpt: These are the annual numbers of per capita wine consumption (in gallons) in America from 1981 to 2010.
- Wine_production Download .TXT file Open in Data Desk ?
- Methods: Analysis of Variance, Experiment Design
- Source: Collected by Dave Bock
- Number of Cases: 36
- Excerpt:
- Winter_Olympics_2010_speed_skating Download .TXT file Open in Data Desk ?
- Methods: Data Display, Summaries
- Source: https://www.olympic.org/vancouver-2010/speed-skating/2x500m-women
- Number of Cases: 36
- Excerpt: The times from the first race of the women’s 2 X 500-m speed skating times at the 2010 Winter Olympics in Vancouver, B.C. are given.
- Winter_Olympics_2014 Download .TXT file Open in Data Desk ?
- Methods: Boxplots, Normal Probability Plots
- Source: https://www.olympic.org/sochi-2014/alpine-skiing/slalom-men
- Number of Cases: 34
- Excerpt:
- Winter_Olympics_2018_downhill Download .TXT file Open in Data Desk ?
- Methods: Normal Probability Plots, Normal model, Standard Deviation
- Source: https://en.wikipedia.org/wiki/Alpine_skiing_at_the_2018_Winter_Olympics_–_Men%27s_downhill
- Number of Cases: 53
- Excerpt: 53 men completed the men’s alpine downhill. The gold medal winner finished in 100.25 seconds. Here are the times (in seconds) for all competitors.
- Winter_Olympics_2018_Mens_Alpine_combined Download .TXT file Open in Data Desk ?
- Methods: Normal model, Standard Deviation
- Source: https://en.wikipedia.org/wiki/Alpine_skiing_at_the_2018_Winter_Olympics#Men's_events
- Number of Cases: 65
- Excerpt: 53 men completed the men’s alpine downhill. The gold medal winner finished in 100.25 seconds. Here are the times (in seconds) for all competitors.
- Winter_olympics_2022_Mens_Alpine_Combined Download .TXT file Open in Data Desk ?
- Methods: Standard Deviation
- Source: Table compiled from several sites by Chat GPT
- Number of Cases: 17
- Excerpt: The men’s super combined skiing event consists of two races: a downhill and aslalom. Thirty seven skiers finished both races. Times for the two events are addedtogether, and the skier with the lowest total time wins. There is ongoing debate whetherthis format favors the technical slalom skiers or the downhill specialists.
- Wisconsin_ACT_2015 Download .TXT file Open in Data Desk ?
- Methods: Normal Probability Plots
- Source: http://archive.jsonline.com/watchdog/dataondemand/2015-Wisconsin-ACT-scores-by-district-and-school-323020921.html#!/averagescore.desc.19/
- Number of Cases: 458
- Excerpt: The data give the mean ACT composite scores for all 450 Wisconsin public schools in 2015 along with the type of school and number of students.
- Wisconsin_ACT_2019 Download .TXT file Open in Data Desk ?
- Methods: Normal model, Standard Deviation
- Source: https://projects.jsonline.com/database/2019/9/wisconsin-ACT-test-scores-2018-19.html#!/composite.desc.1/
- Number of Cases: 523
- Excerpt: The data give the mean ACT composite scores for all Wisconsin public schools in 2018-2019 along with the type of school and number of students.
- Wisconsin_ACT_2023 Download .TXT file Open in Data Desk ?
- Methods: Boxplots
- Source: https://dpi.wi.gov/wisedash/download-files/type?field_wisedash_upload_type_value=ACT11
- Number of Cases: 521
- Excerpt: The data give the mean ACT composite scores for all Wisconsin public schoolsin 2022-2023 along with the type of school and number of students. How do charter schools compare with public schools.
- Wisconsin_ACT_math Download .TXT file Open in Data Desk ?
- Methods:
- Source: made up
- Number of Cases: 457
- Excerpt: