DSCI 310 students win "Best overall” and “Best visualization” in the ASA’s 2022 “Fall Data Challenge”

(* from This is Statistics *)

In this year’s Fall Data Challenge, After the Bell, 72 teams and 262 students submitted their data analyses on how to enhance familial involvement in the K-12 educational experience using data from the National Household Education Surveys Program (NHES)’s 2019 Parents and Family Involvement (PFI) Survey.

“Our annual Fall Data Challenge continues to be an opportunity for students to demonstrate their statistical and data analysis skills and to illustrate the importance of statistics as a future career for those who wish to better the world,” says American Statistical Association (ASA) Executive Director Ron Wasserstein. “This year’s dataset highlights one of many ways in which statistics offers insights that inform and improve our lives.” 

Using this national dataset from across the United States, participants were challenged to provide insights on how to enhance and support family involvement in K -12 education. Students evaluated variables such as homework assistance, family activities, and level of parent engagement in schools.  Teams recommended that schools provide parents and guardians more frequent opportunities to participate in after-school activities, host multiple parent-teacher meetings and open houses throughout the school year, and to increase the frequency of communication between schools and parents and guardians. 

For this year’s contest, teams of two to five students submitted either a video presentation or a slide presentation of their evaluation process, analysis and recommendations. A panel of judges — American Statistical Association members with expertise in Census data, family involvement, and education, as well as National Household Education Surveys statisticians who helped collect this year’s dataset — assessed the submissions to determine the top high school and undergraduate teams for overall analysis, and honorable mentions for best data visualization and use of external data.

Congratulations to the winning teams from WSU!

Best Overall: 

Undergraduate: 

Team: R.B.P. Team
Students: Rachel Knox, Benjamin Moonen and Paige Yang
Sponsor: Silas Bergen
Institution: Winona State University, Winona, MN
View presentation here

Honorable Mention, Best Visualization: 

Undergraduate:

Team: Winona Warriors
Students: Daniel Findell, Abby Smith and Gunner McLeod
Sponsor: Silas Bergen
Institution: Winona State University, Winona, MN
View presentation here

Student Seminar

12:00 - 12:45 PM, Wednesday, November 30, Gild155

What Baseball Statistics Factor Most into Wins Above Replacement (WAR)

Sam Wooden

In this talk, I give my take on what baseball statistics are most important in contributing to a player’s WAR (Wins Above Replacement). I took basic and advanced statistics of MLB players over the past 20 years and used R code, Tableau visualizations, and statistical analysis to summarize the impact of these numbers.

       Internship Experience at Three Links Care Center

Zachary Barron



This talk will provide an overview of an internship I completed as a data science intern at Three Links Care Center. The various tasks completed with Human Resources and the Accounting departments will be discussed. This presentation will give the audience insight into the field of older adult services and a look at the challenges following the impact of the COVID – 19 pandemic.

Grad School Panel

Graduate Student Panel
“The Day and the Life of Being a Graduate Student”

Wednesday, Nov 16
12:00 – 12:45PM in Gild 155




Math Education Panel

Math Teaching Panel

Wednesday, November 9th 12:00- 12:50 PM

SLC 120; Pizza served at 11:30

Mary Morem

Cory Hanson

Connie Sikkink

Superintendent at Houston Public Schools

Principal at

Lewiston-Altura High School

Math Teacher at Lewiston-Altura High

School

  • Bachelor WSU Elementary Ed and Coaching
  • Masters in Ed St. Mary's
  • Educational Specialist Walden University
  • Superintendent Licensure St. Mary's
  • 28 years in education
  • Hobbies: Being with grandkids; hiking, boating, swimming, and skiing
  • 5-12 Social Studies - Bachelor's
  • Master of Arts in Literacy
  • Doctorate in Educational Leadership
  • 20 years in education
  • Hobbies: fishing and hunting
  • Bachelor of Science in Teaching (Math Education) from Winona State University
  • Master’s in Ed (Teaching and Learning) from Saint Mary’s University
  • 16+ years in education
  • Hobbies: Read, watch TV, do things with family and friends

Come ask questions about the teaching field!

Student Seminar

12:00 - 12:45 PM, Wednesday, November 2, Gild155

Predicting NSIC Conference Wins and Rankings for Baseball and Softball

Amberly Langer & Noah Johnson

 
This talk will discuss our capstone project that investigates predicting win percentage for the NSIC Conference. We investigated different regression strategies for modeling win percentage. We also investigated rankings within the conference using the Bradley Terry Model. This presentation will compare the rankings based on the Bradley Terry Model to the actual NSIC standings for the 2021 season.

Departmental Seminar

Creative and Curious Math for Undergraduate People

Dr. Aaron Wangberg
Winona State University

Abstract:  Mathematics is supposed to be fun. And Hard. And Useful. But Fun! In this interactive talk, we’ll find patterns in addition, play a series of pattern guessing games, and explore how Ms. Pacman plays tic-tac-toe. Along the way, we’ll develop a picture of doing mathematics that values creativity and curiosity that helps kids, grandparents, and everyone in between be mathematicians. This talk is accessible to all students.

Wednesday, October 26th,

12:00- 12:50 PM

Gildemeister 155


Student Seminar

12:00 - 12:45 PM, Wednesday, September 19, Gild155

Automating Survey Management with Qualtrics

Emma Rector

This talk will give an overview of the work I did this summer as part of the MASDER (Motivational Attitudes in Statistics and Data Science Education Research) project. The goal of the project is to develop new surveys for assessing attitudes towards statistics and data science education as well as a website for survey distribution and reporting. I will discuss my work with the Qualtrics API in R to improve our data extraction process for reports and how the project will benefit in the next stages.