ILRST 2100

ILRST 2100

Course information provided by the Courses of Study 2015-2016.

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: Students may receive credit for only one course in the following group: AEM 2100, ENGRD 2700, HADM 2010, ILRST 2100/STSCI 2100, MATH 1710, PAM 2100, PAM 2101, PSYCH 3500, SOC 3010, STSCI 2150.

View Enrollment Information

Syllabi: none
  •   Three Week Summer.  Combined with: STSCI 2100

  • 4 Credits GradeNoAud

  •  1296 ILRST 2100   LEC 001

    • TBA
    • Jun 1 - Jun 24, 2016
    • Baer, B

  • Instruction Mode: Distance Learning - WWW
    This Online Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit http://www.sce.cornell.edu/ss/courses/courses.php?v=1411

Syllabi: none
  •   Three Week Summer.  Combined with: ILRST 5100STSCI 2100

  • 4 Credits GradeNoAud

  •  1297 ILRST 2100   LEC 002

    • MTWRF Ives Hall 215
    • Jun 1 - Jun 24, 2016
    • Diciccio, T

  • This Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit http://www.sce.cornell.edu/ss/courses/courses.php?v=1411