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

  • 4 Credits GradeNoAud

  • 13146 ILRST 2100   LEC 001

    • TR Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13157 ILRST 2100   DIS 201

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13158 ILRST 2100   DIS 202

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13159 ILRST 2100   DIS 203

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13160 ILRST 2100   DIS 204

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13161 ILRST 2100   DIS 205

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13162 ILRST 2100   DIS 206

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13163 ILRST 2100   DIS 207

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13164 ILRST 2100   DIS 208

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13165 ILRST 2100   DIS 209

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13166 ILRST 2100   DIS 210

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13371 ILRST 2100   DIS 211

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13375 ILRST 2100   DIS 212

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13376 ILRST 2100   DIS 213

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13377 ILRST 2100   DIS 214

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13534 ILRST 2100   DIS 215

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13469 ILRST 2100   DIS 216

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13470 ILRST 2100   DIS 217

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13535 ILRST 2100   DIS 218

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13471 ILRST 2100   DIS 219

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13353 ILRST 2100   DIS 220

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13354 ILRST 2100   DIS 221

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13355 ILRST 2100   DIS 222

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13356 ILRST 2100   DIS 223

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13357 ILRST 2100   DIS 224

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 13358 ILRST 2100   DIS 225

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Karns, M

  • Instruction Mode: Online

  • 21266 ILRST 2100   DIS 226

    • M Online 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

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

  • 3 Credits GradeNoAud

  • 13220 ILRST 2110   LEC 001

    • TR Online Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13221 ILRST 2110   DIS 201

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13222 ILRST 2110   DIS 202

    • R Online 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

View Enrollment Information

Syllabi: none
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 13848 ILRST 2130   LEC 001

    • MW Online 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

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

  • 4 Credits Stdnt Opt

  • 13431 ILRST 3080   LEC 001

    • MW Online Meeting
    • Feb 8 - May 14, 2021
    • Kato, K

  • Instruction Mode: Online

  • 13432 ILRST 3080   DIS 201

    • T Online Meeting
    • Feb 8 - May 14, 2021
    • Kato, K

  • Instruction Mode: Online

  • 13433 ILRST 3080   DIS 202

    • R Online 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

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

  • 4 Credits Graded

  • 13363 ILRST 3110   LEC 001

    • MW Online Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13364 ILRST 3110   DIS 201

    • R Online Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13365 ILRST 3110   DIS 202

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13366 ILRST 3110   DIS 203

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13367 ILRST 3110   DIS 204

    • F Online 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

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

  • 4 Credits Stdnt Opt

  • 13369 ILRST 4140   LEC 001

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

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

  • 4 Credits Stdnt Opt

  • 20993 ILRST 4140   LEC 002

    • MW Online 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

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

  • 4 Credits Stdnt Opt

  • 17451 ILRST 4550   LEC 001

    • TR Online Meeting
    • Feb 8 - May 14, 2021
    • Jauch, M

  • Instruction Mode: Online

  • 17452 ILRST 4550   DIS 201

    • F Online 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

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

  • 3 Credits GradeNoAud

  • 13147 ILRST 5110   LEC 001

    • TR Online Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13191 ILRST 5110   DIS 201

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online

  • 13192 ILRST 5110   DIS 202

    • R Online Meeting
    • Feb 8 - May 14, 2021
    • Packard, K

  • Instruction Mode: Online