Datafiles
- NY_Marathon_2020 Download .TXT file Open in Data Desk ?
- Methods: Paired Data
- Source: www.nycmarathon.org https://en.wikipedia.org/wiki/List_of_winners_of_the_New_York_City_Marathon
- Number of Cases: 43
- Excerpt:
- NYPD Download .TXT file Open in Data Desk ?
- Methods: Chi Square Tests
- Source: http://www.nbcnewyork.com/news/local/NYPD-Faces-Suit-For-Race-Sex-Discrimination-65164502.html (data source unknown)
- Number of Cases: 12
- Excerpt: The data show the rank attained by male andfemale officers in the New York City Police Department (NYPD). Do these data indicate that men and women are equitably represented at all levels of the department?
- Oakland_Passengers_2016 Download .TXT file Open in Data Desk ?
- Methods: Outliers, Re-expression, Regression, Residuals, Time Series Analysis
- Source: http://www.oaklandairport.com/news/statistics/passenger-history/
- Number of Cases: 318
- Excerpt: The data give the number of passengers at Oakland (CA) airport month by monthsince 1997.
- Obesity_and_exercise Download .TXT file Open in Data Desk ?
- Methods: Boxplots, Tables
- Source: Unknown
- Number of Cases: 12
- Excerpt:
- OECD_economic_regulations Download .TXT file Open in Data Desk ?
- Methods: Multiple Regression, Multiple Regression Inference, Regression Inference
- Source: Crain, M. W., The Impact of Regulatory Costs on Small Firms,available at www.sba.gov/advocacy/7540/49291
- Number of Cases: 24
- Excerpt: A study by the U.S. Small Business Administration used historical data to model the GDP per capita of 24 of the countries in the Organization for Economic Cooperation and Development(OECD). The researchers hoped to show that more regulation leads to lower GDP/Capita. The multiple regression with all terms does have a significant P-value for Economic […]
- OECD_GDP Download .TXT file Open in Data Desk ?
- Methods: Regression
- Source: https://data.oecd.org/gdp/real-gdp-forecast.htm
- Number of Cases: 24
- Excerpt:
- OECD_GDP_Growth Download .TXT file Open in Data Desk ?
- Methods: Displaying Quantitative Data, Summarizing Quantitative Data
- Source: www.sba.gov/advo/research/rs264tot.pdf
- Number of Cases: 35
- Excerpt:
- OECD_Unemployment Download .TXT file Open in Data Desk ?
- Methods: Displaying Quantitative Data, Summarizing Quantitative Data
- Source: https://data.oecd.org/unemp/unemployment-rate.htm
- Number of Cases: 38
- Excerpt:
- Oil_prices_2016 Download .TXT file Open in Data Desk ?
- Methods: Regression
- Source: http://www.eia.gov/dnav/pet/pet_pri_spt_s1_a.htm
- Number of Cases: 50
- Excerpt: The price (per barrel) of oil has fluctuated over time. Various attempts to model it are generally not successful. The data include both the inflation-adjusted prices of a barrel of oil from 1968 to 2016 and two prediction models.
- Oil_prices_monthly Download .TXT file Open in Data Desk ?
- Methods: Time Series Analysis
- Source: http://www.eia.gov/dnav/pet/pet_pri_spt_s1_a.htm
- Number of Cases: 75
- Excerpt: The price (per barrel) of oil has fluctuated over time. Various attempts to model it are generally not successful. The data include the monthly crude oil price in $/barrel from January 2001 to March 2007.
- OKCupid_CatsDogs Download .TXT file Open in Data Desk ?
- Methods: Conditional Distribution, Contingency Tables, Tables
- Source: OKCupid.com
- Number of Cases: 59943
- Excerpt:
- Old_Faithful Download .TXT file Open in Data Desk ?
- Methods: Correlation, Data Display, Inference, Re-expression, Regression, Summaries
- Source: unknown
- Number of Cases: 222
- Excerpt: It is a common belief that Yellowstone’s most famous geyser erupts once an hour at very predictable intervals. But, in fact, the intervals between eruptions can vary greatly. Can we predict the interval from, for example, the duration of the previous eruption? Are there other patterns in the data worth noting?