ILRST 2100

ILRST 2100

Course information provided by the Courses of Study 2019-2020.

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.

When Offered Fall, Winter, Spring, Summer.

Prerequisites/Corequisites Prerequisite: introductory algebra.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students may receive credit for only one course in the following group: AEM 2100, ENGRD 2700, HADM 2010, ILRST 2100, MATH 1710, PAM 2100, PAM 2101, PSYCH 2500, SOC 3010, STSCI 2100, STSCI 2150.

View Enrollment Information

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

  • 4 Credits GradeNoAud

  • 14271ILRST 2100  LEC 001

  • 14279ILRST 2100  DIS 201

  • 14280ILRST 2100  DIS 202

  • 14281ILRST 2100  DIS 203

  • 14282ILRST 2100  DIS 204

  • 14283ILRST 2100  DIS 205

  • 16650ILRST 2100  DIS 206

  • 14284ILRST 2100  DIS 207

  • 14285ILRST 2100  DIS 208

  • 14286ILRST 2100  DIS 209

  • 14287ILRST 2100  DIS 210

  • 14288ILRST 2100  DIS 211

  • 14491ILRST 2100  DIS 212

  • 14502ILRST 2100  DIS 213

  • 14508ILRST 2100  DIS 214

  • 14509ILRST 2100  DIS 215