STSCI 2100

STSCI 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 will receive credit for only one course in the following group: AEM 2100, BTRY 3010, BTRY 6010, ENGRD 2700, HADM 2010, ILRST 2100, ILRST 6100, MATH 1710, PAM 2100, PAM 2101, PSYCH 2500, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200.

Distribution Category (MQR-AS)

View Enrollment Information

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

  • 4 Credits GradeNoAud

  • 11087 STSCI 2100   LEC 001

  • 11088 STSCI 2100   DIS 201

  • 11089 STSCI 2100   DIS 202

  • 11090 STSCI 2100   DIS 203

  • 11091 STSCI 2100   DIS 204

  • 11092 STSCI 2100   DIS 205

  • 16660 STSCI 2100   DIS 206

  • 11093 STSCI 2100   DIS 207

  • 11094 STSCI 2100   DIS 208

  • 11095 STSCI 2100   DIS 209

  • 11096 STSCI 2100   DIS 210

  • 11097 STSCI 2100   DIS 211

  • 11661 STSCI 2100   DIS 212

  • 11797 STSCI 2100   DIS 213

  • 11931 STSCI 2100   DIS 214

  • 11932 STSCI 2100   DIS 215