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ILRST 5110

Statistical Methods for the Social Sciences II

Course information provided by the Courses of Study 2024-2025.

Second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and the analysis of variance. Computer packages are used extensively.

When Offered Fall, Spring.

Prerequisites/Corequisites Prerequisite: ILRST 5100 or equivalent introductory statistics course.

View Enrollment Information

Syllabi: none

Regular Academic Session. Choose one lecture and one discussion. Combined with: ILRST 2110, STSCI 2110, STSCI 5110
Credits and Grading Basis

4 Credits GradeNoAud(Letter grades only (no audit))

Class Number & Section Details

8316 ILRST 5110 LEC 001
Meeting Pattern
- TR 11:40am - 12:55pm
- Jan 21 - May 6, 2025
- Instructors
  
  Packard, K
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials required, for this section. Additional information may be found on the syllabus provided by your professor.

For the most current information about textbooks, including the timing and options for purchase, see the Cornell Store.
Additional Information

Instruction Mode: In Person

Class Number & Section Details

8348 ILRST 5110 DIS 201
Meeting Pattern
- F 11:15am - 12:05pm
- Jan 21 - May 6, 2025
- Instructors
  
  Packard, K
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials required, for this section. Additional information may be found on the syllabus provided by your professor.

For the most current information about textbooks, including the timing and options for purchase, see the Cornell Store.
Additional Information

Instruction Mode: In Person

Class Number & Section Details

8349 ILRST 5110 DIS 202
Meeting Pattern
- R 3:35pm - 4:25pm
- Jan 21 - May 6, 2025
- Instructors
  
  Packard, K
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials required, for this section. Additional information may be found on the syllabus provided by your professor.

For the most current information about textbooks, including the timing and options for purchase, see the Cornell Store.
Additional Information

Instruction Mode: In Person

Class Number & Section Details

11247 ILRST 5110 DIS 203
Meeting Pattern
- F 10:10am - 11:00am
- Jan 21 - May 6, 2025
- Instructors
  
  Packard, K
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials required, for this section. Additional information may be found on the syllabus provided by your professor.

For the most current information about textbooks, including the timing and options for purchase, see the Cornell Store.
Additional Information

Instruction Mode: In Person

Class Number & Section Details

11248 ILRST 5110 DIS 204
Meeting Pattern
- F 2:30pm - 3:20pm
- Jan 21 - May 6, 2025
- Instructors
  
  Packard, K
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials required, for this section. Additional information may be found on the syllabus provided by your professor.

For the most current information about textbooks, including the timing and options for purchase, see the Cornell Store.
Additional Information

Instruction Mode: In Person

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ILRST 5110

Statistical Methods for the Social Sciences II

Course Description

Credits and Grading Basis

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Additional Information

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Instructors

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ILRST 5110

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Classes

ILRST 5110 Statistical Methods for the Social Sciences II

Course Description

Credits and Grading Basis

Class Number & Section Details

Meeting Pattern

Instructors

Additional Information

Class Number & Section Details

Meeting Pattern

Instructors

Additional Information

Class Number & Section Details

Meeting Pattern

Instructors

Additional Information

Class Number & Section Details

Meeting Pattern

Instructors

Additional Information

Class Number & Section Details

Meeting Pattern

Instructors

Additional Information

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ILRST 5110

Statistical Methods for the Social Sciences II