Social Statistics (ILRST)Industrial and Labor Relations
Showing 14 results.
Course descriptions provided by the Courses of Study 2015-2016.
Last Updated
- Schedule of Classes - January 19, 2016 6:14PM EST
- Course Catalog - January 19, 2016 6:21PM EST
Classes
ILRST 2100
Course Description
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 ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: STSCI 2100
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Credits and Grading Basis
4 Credits GradeNoAud(Graded(GRI))
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Class Number & Section Details
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Meeting Pattern
- TR Ives Hall 305
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 219
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 219
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 219
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 219
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 219
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 217
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 217
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 217
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 217
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 215
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 217
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 215
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 217
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- R Uris Hall G88
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 103
Instructors
Velleman, P
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Additional Information
Non-ILR students please enroll in STSCI 2100.
ILRST 2110
Course Description
A 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 ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ILRST 5110, STSCI 2110, STSCI 5110
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Credits and Grading Basis
3 Credits GradeNoAud(Graded(GRI))
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Class Number & Section Details
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Meeting Pattern
- MW Ives Hall 105
Instructors
Diciccio, T
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 111
Instructors
Diciccio, T
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 116
Instructors
Diciccio, T
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 108
Instructors
Diciccio, T
ILRST 2130
Course Description
This seven week, two-credit class will cover the regression requirements, hypothesis tests, and interpretation of results. Students will learn to identify the data necessary to perform a regression analysis, ... view course details
Seven Week - Second.
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Credits and Grading Basis
2 Credits GradeNoAud(Graded(GRI))
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Class Number & Section Details
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Meeting Pattern
- TR Ives Hall 109
- Oct 12 - Dec 4, 2015
Instructors
Wells, M
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Additional Information
Introductory Statistics or Instructor Approval.
ILRST 3080
Course Description
This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 3080, STSCI 3080
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Credits and Grading Basis
4 Credits Stdnt Opt(Student Option)
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Class Number & Section Details
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Meeting Pattern
- TR Olin Hall 255
Instructors
Bunea, F
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Class Number & Section Details
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Meeting Pattern
- F Hollister Hall 110
Instructors
Staff
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Class Number & Section Details
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Meeting Pattern
- M Morrill Hall 106
Instructors
Staff
ILRST 3100
Course Description
Theory and application of statistical sampling, especially in regard to sample design, cost, estimation of population quantities, and error estimation. Assessment of nonsampling errors. Discussion ... view course details
Regular Academic Session. Combined with: BTRY 3100, STSCI 3100
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Credits and Grading Basis
4 Credits Graded(Graded)
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Class Number & Section Details
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Meeting Pattern
- MW Thurston Hall 203
Instructors
Bunge, J
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Additional Information
Prerequisite: two semesters of statistics.
ILRST 3110
Course Description
This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ECON 3110, STSCI 3110
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Credits and Grading Basis
4 Credits GradeNoAud(Graded(GRI))
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Class Number & Section Details
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Meeting Pattern
- MW Ives Hall 105
Instructors
Diciccio, T
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Additional Information
Prerequisites: MATH 1110 or equivalent. FORBIDDEN OVERLAP: Students may receive credit for only one course in the following group: ILRST/ECON/STSCI 3110, BTRY/STSCI 3080, ECON 3130, and MATH 4710.
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 108
Instructors
Diciccio, T
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 108
Instructors
Diciccio, T
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 116
Instructors
Diciccio, T
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 217
Instructors
Diciccio, T
ILRST 4970
Course Description
All requests for permission to register for an internship must be approved by the faculty member who will supervise the project and the chairman of the faculty member's academic department before submission ... view course details
ILRST 4980
Course Description
All requests for permission to register for an internship must be approved by the faculty member who will supervise the project and the chairman of the faculty member's academic department before submission ... view course details
ILRST 5100
Course Description
A first course in statistics for graduate students in the social sciences. Descriptive statistics, probability and sampling distributions, estimation, hypothesis testing, simple linear regression, and ... view course details
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
3 Credits GradeNoAud(Graded(GRI))
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Class Number & Section Details
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Meeting Pattern
- TR Ives Hall 219
Instructors
Karns, M
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 103
Instructors
Karns, M
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 103
Instructors
Karns, M
ILRST 5110
Course Description
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 ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ILRST 2110, STSCI 2110, STSCI 5110
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Credits and Grading Basis
3 Credits GradeNoAud(Graded(GRI))
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Class Number & Section Details
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Meeting Pattern
- MW Ives Hall 105
Instructors
Diciccio, T
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 111
Instructors
Diciccio, T
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 116
Instructors
Diciccio, T
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 108
Instructors
Diciccio, T
ILRST 6100
Course Description
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 ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 6010
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Credits and Grading Basis
4 Credits Stdnt Opt(Student Option)
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Class Number & Section Details
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Meeting Pattern
- TR Ives Hall 305
Instructors
Earls, C
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Additional Information
Enrollment limited to: graduate students or permission of instructor.
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Class Number & Section Details
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Meeting Pattern
- T Mann Library B30A
Instructors
Earls, C
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Class Number & Section Details
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Meeting Pattern
- T Mann Library B30A
Instructors
Earls, C
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
Instructors
Earls, C
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Class Number & Section Details
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Meeting Pattern
- T Mann Library B30A
Instructors
Earls, C
ILRST 7170
Course Description
Properties of the multivariate normal distribution. Distribution theory for quadratic forms. Properties of least squares and maximum likelihood estimates. Methods for fixed-effect models of less than full ... view course details
Regular Academic Session. Combined with: ORIE 7170, STSCI 7170
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Credits and Grading Basis
3 Credits Graded(Graded)
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Class Number & Section Details
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Meeting Pattern
- TR Comstock Hall-Academic II B106
Instructors
Wells, M
ILRST 7990
Course Description
For individual research conducted under the direction of a member of the faculty. view course details