Social Statistics (ILRST)Industrial and Labor Relations

Showing 8 results.

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

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

  • 13146ILRST 2100  LEC 001

    • TROnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13157ILRST 2100  DIS 201

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13158ILRST 2100  DIS 202

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13159ILRST 2100  DIS 203

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13160ILRST 2100  DIS 204

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13161ILRST 2100  DIS 205

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13162ILRST 2100  DIS 206

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13163ILRST 2100  DIS 207

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13164ILRST 2100  DIS 208

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13165ILRST 2100  DIS 209

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13166ILRST 2100  DIS 210

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13371ILRST 2100  DIS 211

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13375ILRST 2100  DIS 212

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13376ILRST 2100  DIS 213

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13377ILRST 2100  DIS 214

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13534ILRST 2100  DIS 215

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13469ILRST 2100  DIS 216

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13470ILRST 2100  DIS 217

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13535ILRST 2100  DIS 218

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13471ILRST 2100  DIS 219

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13353ILRST 2100  DIS 220

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13354ILRST 2100  DIS 221

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13355ILRST 2100  DIS 222

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13356ILRST 2100  DIS 223

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13357ILRST 2100  DIS 224

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13358ILRST 2100  DIS 225

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 21266ILRST 2100  DIS 226

    • MOnline Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

ILRST 2110

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

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 5110STSCI 2110STSCI 5110

  • 3 Credits GradeNoAud

  • 13220ILRST 2110  LEC 001

    • TROnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13221ILRST 2110  DIS 201

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13222ILRST 2110  DIS 202

    • ROnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

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

  • 13848ILRST 2130  LEC 001

    • MWOnline Meeting
    • Feb 8 - Mar 26, 2021
    • Karns, M

  • Instruction Mode: Online

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 13431ILRST 3080  LEC 001

    • MWOnline Meeting
    • Feb 8 - May 14, 2021
    • Kato, K

  • Instruction Mode: Online

  • 13432ILRST 3080  DIS 201

    • TOnline Meeting
    • Feb 8 - May 14, 2021
    • Kato, K

  • Instruction Mode: Online

  • 13433ILRST 3080  DIS 202

    • ROnline Meeting
    • Feb 8 - May 14, 2021
    • Kato, K

  • Instruction Mode: Online

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

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110STSCI 3110

  • 4 Credits Graded

  • 13363ILRST 3110  LEC 001

    • MWOnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13364ILRST 3110  DIS 201

    • ROnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13365ILRST 3110  DIS 202

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13366ILRST 3110  DIS 203

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13367ILRST 3110  DIS 204

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

ILRST 4140

This course begins with a discussion of some general principles of experimental design. Classical designs are covered in detail, motivated by real data applications. These include completely randomized, ... view course details

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4140STSCI 4140

  • 4 Credits Stdnt Opt

  • 13369ILRST 4140  LEC 001

  • Instruction Mode: In Person
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4140STSCI 4140

  • 4 Credits Stdnt Opt

  • 20993ILRST 4140  LEC 002

    • MWOnline Meeting
    • Feb 8 - May 14, 2021
    • Booth, J

  • Instruction Mode: Online

ILRST 4550

Introduces statistical tools for the analysis of time-dependent data. Data analysis and application will be an integral part of this course. Topics include linear, nonlinear, seasonal, multivariate modeling, ... view course details

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5550STSCI 4550

  • 4 Credits Stdnt Opt

  • 17451ILRST 4550  LEC 001

    • TROnline Meeting
    • Feb 8 - May 14, 2021
    • Jauch, M

  • Instruction Mode: Online

  • 17452ILRST 4550  DIS 201

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Jauch, M

  • Instruction Mode: Online

ILRST 5110

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

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110STSCI 2110STSCI 5110

  • 3 Credits GradeNoAud

  • 13147ILRST 5110  LEC 001

    • TROnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13191ILRST 5110  DIS 201

    • FOnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13192ILRST 5110  DIS 202

    • ROnline Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online