Social Statistics (ILRST)Industrial and Labor Relations

Showing 9 results.

Course descriptions provided by the 2019-2020 Catalog.

ILRST 2100

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

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

  • 4 Credits GradeNoAud

  • 14271 ILRST 2100   LEC 001

  • Instruction Mode: In Person

  • 14279 ILRST 2100   DIS 201

  • Instruction Mode: In Person

  • 14280 ILRST 2100   DIS 202

  • Instruction Mode: In Person

  • 14281 ILRST 2100   DIS 203

  • Instruction Mode: In Person

  • 14282 ILRST 2100   DIS 204

  • Instruction Mode: In Person

  • 14283 ILRST 2100   DIS 205

  • Instruction Mode: In Person

  • 16650 ILRST 2100   DIS 206

  • Instruction Mode: In Person

  • 14284 ILRST 2100   DIS 207

  • Instruction Mode: In Person

  • 14285 ILRST 2100   DIS 208

  • Instruction Mode: In Person

  • 14286 ILRST 2100   DIS 209

  • Instruction Mode: In Person

  • 14287 ILRST 2100   DIS 210

  • Instruction Mode: In Person

  • 14288 ILRST 2100   DIS 211

  • Instruction Mode: In Person

  • 14491 ILRST 2100   DIS 212

  • Instruction Mode: In Person

  • 14502 ILRST 2100   DIS 213

  • Instruction Mode: In Person

  • 14508 ILRST 2100   DIS 214

  • Instruction Mode: In Person

  • 14509 ILRST 2100   DIS 215

  • Instruction Mode: In Person

ILRST 2130

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

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Syllabi: none
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 14827 ILRST 2130   LEC 001

    • TR Ives Hall 118
    • Aug 29 - Oct 18, 2019
    • Karns, M

  • Instruction Mode: In Person

    Introductory Statistics or Instructor Approval.

ILRST 3080

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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080STSCI 3080

  • 4 Credits Stdnt Opt

  • 14521 ILRST 3080   LEC 001

  • Instruction Mode: In Person

    Prerequisites: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.

  • 14522 ILRST 3080   DIS 201

  • Instruction Mode: In Person

  • 14523 ILRST 3080   DIS 202

  • Instruction Mode: In Person

ILRST 3100

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

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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 3100STSCI 3100

  • 4 Credits Graded

  • 14465 ILRST 3100   LEC 001

  • Instruction Mode: In Person

    Prerequisite: two semesters of statistics.

ILRST 3110

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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110STSCI 3110

  • 4 Credits GradeNoAud

  • 14493 ILRST 3110   LEC 001

  • Instruction Mode: In Person

    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.

  • 14494 ILRST 3110   DIS 201

  • Instruction Mode: In Person

  • 14628 ILRST 3110   DIS 202

  • Instruction Mode: In Person

  • 14495 ILRST 3110   DIS 203

  • Instruction Mode: In Person

  • 16707 ILRST 3110   DIS 205

  • Instruction Mode: In Person

  • 16704 ILRST 3110   DIS 206

  • Instruction Mode: In Person

  • 16705 ILRST 3110   DIS 207

  • Instruction Mode: In Person

ILRST 5050

This course introduces MILR students to the critical analysis process involved in social science research and practice in the workplace. The uses of analytics, particularly in workforce development will ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits GradeNoAud

  • 14640 ILRST 5050   LEC 001

  • Instruction Mode: In Person

    This course introduces MILR students to the critical analysis process involved in social science research and practice in the workplace. The uses of analytics, particularly in workforce development will be explored through a combination of statistical methods and application to case studies. Students will distinguish the stages of analytics, develop data summaries and evaluate the results with statistical tests. The hypothesis testing method and statistical decision-making will be reviewed. Statistical methods will include t-tests, chi-squares, regression models (linear, multiple, and logistic). Statistical software will be used (SPSS or Minitab). Interpretation and understanding of results is emphasized through writing frequent, short data analysis reports with graphic representation of the results.

  • 14641 ILRST 5050   DIS 211

  • Instruction Mode: In Person

  • 14642 ILRST 5050   DIS 212

  • Instruction Mode: In Person

  • 14643 ILRST 5050   DIS 213

  • Instruction Mode: In Person

ILRST 5155

When used properly, data can be used to make larger statements about the bigger world. We use statistics to unlock patterns that are not apparent on the surface and rely on them to determine everything ... view course details

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Syllabi: none
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 18654 ILRST 5155   LEC 001

    • TBA ILR in NYC
    • Aug 22 - Aug 29, 2019
    • Karns, M

  • Instruction Mode: In Person

    Taught in NYC. Enrollment limited to students enrolled in the ILR MPS program.

ILRST 6100

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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6010

  • 4 Credits Stdnt Opt

  • 14364 ILRST 6100   LEC 001

  • Instruction Mode: In Person

    Enrollment limited to: graduate students or permission of instructor.

  • 14365 ILRST 6100   LAB 402

  • Instruction Mode: In Person

  • 14366 ILRST 6100   LAB 403

  • Instruction Mode: In Person

  • 14367 ILRST 6100   LAB 404

  • Instruction Mode: In Person

  • 14511 ILRST 6100   LAB 405

  • Instruction Mode: In Person

ILRST 7170

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

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Syllabi: none
  •   Regular Academic Session.  Combined with: ORIE 7170STSCI 7170

  • 3 Credits Graded

  • 14510 ILRST 7170   LEC 001

  • Instruction Mode: In Person