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Niagara University · Courses

STA

3 courses with the subject STA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

STA 301Linear Models3

A completely integrated computer-based course in which software is used to study statistical relationships between several variables. The topics include multiple regression, ANOVA, design of experiments and logistic regression. A comprehensive project will evaluate students' ability to collect and analyze data.

Subject
STA
Credits (min)
3
Credits (max)
3
Credit unit
credits
Type
course
Edition
2026-2027
Catalog
2026-2027 Academic Catalog
Source
catalog.niagara.edu
STA 305Nonparametric Statistics3

This course will discuss how to analyze data when the distribution of the data is unknown. Topics include bootstrap estimation, analysis of contingency tables, and rank based tests. Computer software will be used extensively. Students will do a research project and analyze the data they have collected.

Subject
STA
Credits (min)
3
Credits (max)
3
Credit unit
credits
Type
course
Edition
2026-2027
Catalog
2026-2027 Academic Catalog
Source
catalog.niagara.edu
STA 499Statistics Internship3

In this course, students will learn how to analyze real data. Students will find another faculty member or corporation to work with and analyze their data. Students will write a proposal, analyze the data, and present their results both orally and in written form.

Subject
STA
Credits (min)
3
Credits (max)
3
Credit unit
credits
Type
course
Edition
2026-2027
Catalog
2026-2027 Academic Catalog
Source
catalog.niagara.edu

Source: Niagara University's catalog, linked per course · table learning_unit · CourseShelf publish 61