Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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Course Descriptions: Search Results

STT 422 Statistics II

Description:
Goodness of fit and other non-parametric methods. Linear models including multiple regression and ANOVA for simple experimental designs.
Effective Dates:
FS95 - US99

STT 422 Statistics II

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
STT 421
Not open to students with credit in:
STT 464,
Description:
Goodness of fit and other non-parametric methods. Linear models including multiple regression and ANOVA for simple experimental designs.
Effective Dates:
FS99 - US14

STT 422 Statistics II

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 421
Not open to students with credit in:
STT 464,
Description:
Goodness of fit and other non-parametric methods. Linear models including multiple regression and ANOVA for simple experimental designs.
Effective Dates:
FS14 - US17

STT 422 Statistics II

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 421 or STT 441
Not open to students with credit in:
STT 464,
Description:
Goodness of fit and other non-parametric methods. Linear models including multiple regression and ANOVA for simple experimental designs.
Effective Dates:
FS17 - SS22

STT 422 Statistics II

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 421 or STT 442
Not open to students with credit in:
STT 464,
Description:
Goodness of fit and other non-parametric methods. Linear models including multiple regression and ANOVA for simple experimental designs.
Effective Dates:
US22 - Open