ILRST 5050

Last Updated

  • Schedule of Classes - January 9, 2020 9:13AM EST
  • Course Catalog - January 9, 2020 9:14AM EST

ILRST 5050
Statistics at Work

Course information provided by the 2019-2020 Catalog.

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).


Permission Note Enrollment limited to: MILR students.

When Offered Fall.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits GradeNoAud

  • 14640 ILRST 5050   LEC 001

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  • 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

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  • Instruction Mode: In Person

  • 14642 ILRST 5050   DIS 212

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  • Instruction Mode: In Person

  • 14643 ILRST 5050   DIS 213

  •  

  • Instruction Mode: In Person