ILRST 6100

Statistical Methods I

Course Description

Course information provided by the 2026-2027 Catalog.

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 a single population, comparisons between two populations, one- and two-way analysis of variance, comparisons among population means, analysis of categorical data, and correlation and regression analysis. Introduces interactive computing through statistical software. Emphasizes basic principles and criteria for selection of statistical techniques.

Forbidden Overlaps AEM 2100, CEE 3040, CRP 1200, ENGRD 2700, HADM 2010, HADM 2011, ILRST 2100, ILRST 6100, MATH 1710, PSYCH 2500, PUBPOL 2100, PUBPOL 2101, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200, STSCI 6010. In addition, no credit for MATH 1710 if taken after ECON 3130, ECON 3140, MATH 4720, or any other upper-level course focusing on the statistical sciences

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

Last 4 Terms Offered 2025FA, 2024FA, 2023FA, 2022FA

Learning Outcomes

• Learn to develop and use statistical methods to analyze data arising from a wide variety of applications. Students should learn to apply methodologies which include descriptive statistics, point and interval estimation, hypothesis testing, inference for a single population, comparisons between two populations, one- and two-way analysis of variance, comparisons among population means, analysis of categorical data, and correlation and regression analysis.

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