ILRST 2100

ILRST 2100

Course information provided by the 2025-2026 Catalog.

Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical inference methods through contingency tables and linear regression. The emphasis is on thinking scientifically, understanding what is commonly done with data (and doing some of it for yourself), and laying a foundation for further study. Students learn to use statistical software and simulation tools to discover fundamental results. They use computers regularly; the test includes both multimedia materials and a software package. This course does not focus on data from any particular discipline, but will use real-world examples from a wide variety of disciplines and current events.


Prerequisites introductory algebra.

Distribution Requirements (DLS-AG, MQL-AG, OPHLS-AG), (ICE-IL, STA-IL)

Last 4 Terms Offered 2025FA, 2025SU, 2025SP, 2025WI

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2100

  • 4 Credits GradeNoAud

  •  5617 ILRST 2100   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

    Beginning with the first day of classes Industrial and Labor Relations (ILR) students must get permission to drop from an advisor in the ILR Office of Student Services.

  •  5625 ILRST 2100   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5626 ILRST 2100   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5627 ILRST 2100   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5628 ILRST 2100   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5629 ILRST 2100   DIS 205

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5630 ILRST 2100   DIS 206

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5631 ILRST 2100   DIS 208

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5632 ILRST 2100   DIS 209

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5633 ILRST 2100   DIS 210

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5711 ILRST 2100   DIS 212

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5712 ILRST 2100   DIS 214

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5743 ILRST 2100   DIS 216

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5744 ILRST 2100   DIS 217

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5752 ILRST 2100   DIS 218

    • R
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5745 ILRST 2100   DIS 219

    • R
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5703 ILRST 2100   DIS 220

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5704 ILRST 2100   DIS 221

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5705 ILRST 2100   DIS 222

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5706 ILRST 2100   DIS 223

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5707 ILRST 2100   DIS 224

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5708 ILRST 2100   DIS 225

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person