Dordt College News

Dordt students win first place for presentation “Which Traits Attract Women”

August 19, 2013

Dordt College seniors Josh Nymeyer (Sioux Center, Iowa), Bryce Schelhaas (Leota, Minnesota), and Sam Verhulst (Milwaukee, Wisconsin) took first place in 2013 Undergraduate Class Project Competition for their presentation titled “Which Traits Attract Women: Appearance, Intelligence, Wealth, or Strength?”

The competition is sponsored by Consortium for the Advancement of Undergraduate Statistic Education (CAUSE) and is the only national undergraduate statistics project competition.

The three seniors conducted a multi-factor experiment and found that women reported being more attracted to a man’s online dating profile if he suggested that he was either wealthy or intelligent. Interestingly, profiles suggesting a man was both wealthy and intelligent were less attractive to female participants.

“Their first-place finish is a testament to the excellent work, creative thinking, and general understanding of the world and how it works that is demonstrated by our students regularly in the classroom,” said Nathan Tintle, Dordt College professor of statistics.

Dordt College juniors Will Kooima (Ridgecrest, California) and Narayan Nunez Blandon (Nicaragua) received honorable mention for their project “Racial Profiling in Sioux County.” In their project, Kooima and Blandon found that a significantly higher proportion of individuals of Hispanic background received tickets in the county when compared to the proportion of Hispanic people living in Sioux County. They also found that some Dordt College students feel profiled, but that these students actually reported getting pulled over less often than students who did not feel profiled.

Nymeyer, Schelhaas, and Verhulst won a cash prize and their winning project which will be announced in AMSTAT News published by American Statistical Association. The winning projects can be viewed on the competition website at

Find out more about statistics at Dordt College, including programs in applied statistics and actuarial science, and research opportunities for students at

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