BTRY 6010

BTRY 6010

Course information provided by the Courses of Study 2020-2021.

Develops and uses statistical methods to analyze data arising from a wide variety of applications. Topics include descriptive statistics, point and interval estimation, hypothesis testing, inference for a single population, comparisons between two populations, one- and two-way analysis of variance, comparisons among population means, analysis of categorical data, and correlation and regression analysis. Introduces interactive computing through statistical software. Emphasizes basic principles and criteria for selection of statistical techniques.

When Offered Fall.

Permission Note Enrollment limited to: graduate students or permission of instructor.

Outcomes
  • Learn to develop and use statistical methods to analyze data arising from a wide variety of applications. Students should learn to apply methodologies which include descriptive statistics, point and interval estimation, hypothesis testing, inference for a single population, comparisons between two populations, one- and two-way analysis of variance, comparisons among population means, analysis of categorical data, and correlation and regression analysis.

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: ILRST 6100

  • 4 Credits Stdnt Opt

  •  1017BTRY 6010  LEC 001

    • TROnline Meeting
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online
    Enrollment limited to: graduate students or permission of instructor.

  •  1018BTRY 6010  LAB 402

    • TOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

  •  1019BTRY 6010  LAB 403

    • TOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

  •  1020BTRY 6010  LAB 404

    • WOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

  •  2641BTRY 6010  LAB 405

    • TOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online