Social Statistics (ILRST)Industrial and Labor Relations

Showing 8 results.

Course descriptions provided by the Courses of Study 2018-2019. Courses of Study 2019-2020 is scheduled to publish mid-June.

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

  • 4 Credits GradeNoAud

  • 14271ILRST 2100  LEC 001

    • TR
    • Packard, K

  • 14279ILRST 2100  DIS 201

    • F
    • Packard, K

  • 14280ILRST 2100  DIS 202

    • F
    • Packard, K

  • 14281ILRST 2100  DIS 203

    • F
    • Packard, K

  • 14282ILRST 2100  DIS 204

    • F
    • Packard, K

  • 14283ILRST 2100  DIS 205

    • F
    • Packard, K

  • 16650ILRST 2100  DIS 206

    • F
    • Packard, K

  • 14284ILRST 2100  DIS 207

    • F
    • Packard, K

  • 14285ILRST 2100  DIS 208

    • F
    • Packard, K

  • 14286ILRST 2100  DIS 209

    • F
    • Packard, K

  • 14287ILRST 2100  DIS 210

    • F
    • Packard, K

  • 14288ILRST 2100  DIS 211

    • F
    • Packard, K

  • 14491ILRST 2100  DIS 212

    • F
    • Packard, K

  • 14502ILRST 2100  DIS 213

    • F
    • Packard, K

  • 14508ILRST 2100  DIS 214

    • F
    • Packard, K

  • 14509ILRST 2100  DIS 215

    • R
    • Packard, K

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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Enrollment Information
Syllabi: none
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 14827ILRST 2130  LEC 001

    • TR
    • Aug 29 - Oct 18, 2019
    • Karns, M

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

  • 4 Credits Stdnt Opt

  • 14521ILRST 3080  LEC 001

    • TR
    • Bunea, F

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

  • 14522ILRST 3080  DIS 201

    • F
    • Bunea, F

  • 14523ILRST 3080  DIS 202

    • M
    • Bunea, F

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

  • 4 Credits Graded

  • 14465ILRST 3100  LEC 001

    • MW
    • Bunge, J

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

  • 4 Credits GradeNoAud

  • 14493ILRST 3110  LEC 001

    • TR
    • Matteson, D

  • 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.

  • 14494ILRST 3110  DIS 201

    • F
    • Matteson, D

  • 14628ILRST 3110  DIS 202

    • R
    • Matteson, D

  • 14495ILRST 3110  DIS 203

    • F
    • Matteson, D

  • 14629ILRST 3110  DIS 204

    • R
    • Matteson, D

  • 16707ILRST 3110  DIS 205

    • F
    • Matteson, D

  • 16704ILRST 3110  DIS 206

    • R
    • Matteson, D

  • 16705ILRST 3110  DIS 207

    • F
    • Matteson, D

  • 16706ILRST 3110  DIS 208

    • R
    • Matteson, D

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

  • 4 Credits GradeNoAud

  • 14640ILRST 5050  LEC 001

    • MW
    • Karns, M

  • 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.

  • 14641ILRST 5050  DIS 211

    • R
    • Karns, M

  • 14642ILRST 5050  DIS 212

    • R
    • Karns, M

  • 14643ILRST 5050  DIS 213

    • R
    • Karns, M

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

  • 4 Credits Stdnt Opt

  • 14364ILRST 6100  LEC 001

    • TR
    • Basu, S

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

  • 14365ILRST 6100  LAB 402

    • T
    • Basu, S

  • 14366ILRST 6100  LAB 403

    • T
    • Basu, S

  • 14367ILRST 6100  LAB 404

    • W
    • Basu, S

  • 14511ILRST 6100  LAB 405

    • T
    • Basu, S

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

  • 3 Credits Graded

  • 14510ILRST 7170  LEC 001

    • MW
    • Staff