Datafiles

  • Shoot_to_Score_2016 Download .TXT file Open in Data Desk ?
  • Methods: Multiple Regression Inference, Regression, Regression Inference
  • Source: http://www.nhl.com/stats/player?aggregate=0&gameType=2&report=skatersummary&pos=S&reportType=season&seasonFrom=20162017&seasonTo=20162017&filter=gamesPlayed,gte,1&sort=gamesPlayedreferenced January 16, 2017
  • Number of Cases: 97
  • Excerpt: A college hockey coach collected data from the 2016–2017 National Hockey League season. He hopes to convince his players that the number of shots taken has an effect on the number of goals scored. The data includes both offensive and defensive players.


  • Singers_by_parts Download .TXT file Open in Data Desk ?
  • Methods: Data Display, Summaries
  • Source: Real study - unknown source
  • Number of Cases: 130
  • Excerpt: The dataset gives the heights (in inches) of 130 members of a choir and the part they sing. Note that Sopranos and Altos are typically women and Tenors and Basses are typically men.


  • Ski_wax Download .TXT file Open in Data Desk ?
  • Methods: Confidence Intervals for Means, Hypothesis Tests, Hypothesis Tests for Means
  • Source: De Veaux class project
  • Number of Cases: 8
  • Excerpt: Bjork Larsen was trying to decide whether to use a new racing wax for cross-country skis. He decided that the wax would be worth the price if he could average less than 55 seconds on a course he knew well, so he planned to study the wax by racing on the course 8 times. The […]


  • Slalom_times_2014 Download .TXT file Open in Data Desk ?
  • Methods: Boxplots
  • Source: http://www.sports-reference.com/olympics/winter/2014/ASK/mens-giant-slalom.html
  • Number of Cases: 73
  • Excerpt: The Men’s Giant Slalom skiing event consists of two runs whose times are added together for a final score. The data give the giant slalom times in the 2014 Winter Olympics at Sochi.


  • Slalom_times_2018 Download .TXT file Open in Data Desk ?
  • Methods: Boxplots, Comparing Groups, Outliers, Re-expression
  • Source: https://en.wikipedia.org/wiki/Alpine_skiing_at_the_2018_Winter_Olympics_–_Men's_giant_slalomOrhttps://www.olympic.org/pyeongchang-2018/alpine-skiing/mens-giant-slalom
  • Number of Cases: 75
  • Excerpt: The Men’s Giant Slalom skiing event consists of two runs whose times are added together for a final score. The data give the giant slalom times in the 2018 Winter Olympics at PyeongChang.


  • Slalom-times_2022 Download .TXT file Open in Data Desk ?
  • Methods: Correlation, Data Display
  • Source: https://en.wikipedia.org/wiki/Alpine_skiing_at_the_2022_Winter_Olympics_%E2%80%93_Men%27s_slalom
  • Number of Cases: 45
  • Excerpt: The Men’s Giant Slalom skiing event consistsof two runs whose times are added together for a finalscore. The data give the giant slalom times in the 2022 WinterOlympics at Yanqing.


  • Sleep Download .TXT file Open in Data Desk ?
  • Methods: Correlation, Hypothesis Tests, Hypothesis Tests for Means, Re-expression, Regression, Scatterplot
  • Source: personal communication
  • Number of Cases: 25
  • Excerpt: The Sleep Foundation (www.sleepfoundation.org) says that adults should get at least 7 hours of sleep each night. A survey of students at a small school in the northeast U.S. asked, among other things, “How much did you sleep last night?” The data are the responses.


  • Sleep_quality Download .TXT file Open in Data Desk ?
  • Methods:
  • Source: student survey
  • Number of Cases: 113
  • Excerpt: An individual recorded their sleep quality data over the course of 113 nights from their Fitbit activity tracking wristband. The dataset is the download of data from that fitbit.


  • Slower_is_cheaper Download .TXT file Open in Data Desk ?
  • Methods: Outliers, Re-expression, Regression, Residuals
  • Source: unknown
  • Number of Cases: 9
  • Excerpt: Researchers studying how a car’s fuel efficiency (in Miles Per Gallon) varies with its Speed drove a compact car 200 miles at various speeds on a test track. Their data are shown in the table.


  • Smoking_2014 Download .TXT file Open in Data Desk ?
  • Methods: Regression
  • Source: http://www.cdc.gov/nchs
  • Number of Cases: 21
  • Excerpt: The Centers for Disease Control and Prevention track cigarette smoking in the United States. How has the percentage of people who smoke changed since the danger became clear during the last half of the 20th century? The data give percentages of smokers among men 18–24 years of age, as estimated by surveys, from 1965 through […]


  • Smoking_2018 Download .TXT file Open in Data Desk ?
  • Methods: Outliers, Re-expression, Regression, Residuals
  • Source: Gallup poll
  • Number of Cases: 56
  • Excerpt: The Gallup poll tracks cigarette smoking in the United States. How has the percentage of people who smoke changed since the danger became clear during the last half of the 20th century? The data give percentages of smokers as estimated by surveys, from 1944 through 2018.