Statistical Consulting Lab (SCL)

Lab Information

Mathematics & Statistics

The Statistical Consulting Lab is dedicated to offering free consulting on research and survey design, data collecting and administration, statistical analysis, and assessment to ETSU faculty, staff, and students. In addition, the Statistical Consulting Lab aims to give introductory training with commonly used data analysis tools and software.

SCL YouTube Channel

Please click the link below to be connected to the Statistical Consulting Lab YouTube Channel.

               https://www.youtube.com/@StatisticalConsultingLabETSU

Workshops:

The SCL provides appropriate introductory trainings with common data analysis software like SAS, R, SPSS, Excel, Minitab, and Python, and also on the statistical methodalogies if needed. Throughout the academic year and during the summer semester, lab consultants offer seminars on a variety of research and software-related topics. Any ETSU faculty, student, or staff member is welcome to attend the workshops.

Consulting services

    • Conducting surveys and studies
    • Identifying data collection techniques
    • Choosing data storage and management strategies
    • Finding and carrying out statistical analyses

Availability

You can reach us via email, phone or in person at Gilbreath Hall, Room 308M, to schedule your appointment. 

The lab is open from 9:00 AM to 3:00 PM, Monday through Friday.  We encourge you to consult with us as soon as you begin your research project; we're here to assist you with your research questions and support you throughout the process.

Clients typically engage with consultants for 2-4 weeks, depending on the project's scope.  Additionally, you can complete the SCL form, detailing your data situation and the specific assistance you require from our consultants. 

What Should A Client Bring?

    • Research questions
    • Description of variables
    • Conceptual Description
    • Data file

CONSULANTS - FALL 2024

 Shanice D. 

Shanice Douglas - Masters Student in Mathematicial Science

  • Areas of Expertise:  Statistial Modeling, Data Visualization and Data Management
  • Proficient In:  SAS, R and Python      

Anna W. 

Anna White - Masters Student in Applied Data Science

  • Areas of Expertise:  Data and Statistical Analysis, Machine Learning and Real-World Data
  • Proficient In:  R and Python

Taylor Boles

Taylor Boles - Masters Student in Applied Data Science

  • Areas of Expertise:  Statistical Methods and Advanced Data Analytics
  • Proficient In:  R, C++ and Python

  Johan Welch

Jonah Welch - Masters Student in Applied Data Science

  • Areas of Expertise:  Data Analysis, Machine Learning, Sports or Nature Application, Exploratory Data Analysis and Business Analytics
  • Proficient In:  R, Python, Word, PowerPoint, Overleaf (Latex), Excel and Tableau

 Eden 2

Eden Huhn: Master's Student in Applied Data Science 

  • Areas of Expertise:  Statistical Regression and Predictive Analytics 
  • Proficient in:  Python and R  

CONSULANTS - Spring 2025

Eden Huhn

Eden Huhn: Masters Sudent in Applied Data Science

  • Area of Expertise: Statistical Regression and Predictive Analytics
  • Proficient In: Python and R

Taylor Boles

Taylor Boles: Master's Student in Applied Data Science

  • Areas of Expertise: Statistical Methods and Advanced Data Analytics
  • Proficient In: R,C++and Python

Inhwan Jung

Inhwan Jung: Masters Student in Applied Data Science

  • Area of Expertise: Data Analysis and Econometrics
  • Profieient In:  STAT, Python, SAS and MS Office

Princess Flora Tagoe

Princess Flora Naa Ayikaikor Tagoe: Masters Student in Applied Data Science

  • Area of Expertise: Statistical Analysis and Data Visualization
  • Proficient In: R and Python

Consultants - Fall 2025

SCL Consultant - Fall 2025

Katie Thornton

  • Major: M.S. in Applied Data Science
  • Areas of Expertise: Statistical modeling: data wrangling and management; data visualization; applied statistics in biology/plant phenotping, health/survival, and nonprofit/animal welfare
  • Proficient In: R, SAS, SQL, Python, C#, HTML, LaTeX, Microsoft Office, Looker Studio

Statistical Consultant - Fall 2025

Inhwan Jung

  • Major: M.S. in Applied Data Science
  • Areas of Expertise: Statistical analysis; data analysis
  • Proficient In: Stata, SAS, R, Python

Statistical Consulant - Fall 2025

Roni MD Raisul Islam

  • Major: M.S. in Applied Data Science
  • Areas of Expertise: Data and statistical analysis
  • Proficient In: R, Python, SAS

Contact Information

      • Email: scl@etsu.edu
      • Phone: 423-439-6960 or 423-439-6980
      • Director: Mostafa Zahed, PH.D.
      • Address: 312 (or 308 M) Gilbreath Hall / PO Box 70663, Johnson City, TN 37614