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STAT 4355 Chuan-Fa Tang | |||||
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STAT 4355 Chuan-Fa Tang | |||||
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Grades: 456
Median GPA: A-
Mean GPA: 3.303
4.1
Professor rating
2.7
Difficulty
11
Ratings given
91%
Would take again
Applied Linear Models
STAT 4355
School of Natural Sciences and Mathematics
Introduction to linear statistical models and their application to empirical data. Topics include linear and logistic regression; multiple regression; diagnostic measures; detection of outliers and influential observations; variable selection; one- and two-way ANOVA; analysis of covariance; model fitting and validation using the statistical programming language R. 3 credit hours.
Prerequisite: STAT 3355 or instructor consent required.
Offering Frequency: Each year
Grades: 370
Median GPA: A-
Mean GPA: 3.254
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Grades: 456
Median GPA: A-
Mean GPA: 3.303
4.1
Professor rating
2.7
Difficulty
11
Ratings given
91%
Would take again
Applied Linear Models
STAT 4355
School of Natural Sciences and Mathematics
Introduction to linear statistical models and their application to empirical data. Topics include linear and logistic regression; multiple regression; diagnostic measures; detection of outliers and influential observations; variable selection; one- and two-way ANOVA; analysis of covariance; model fitting and validation using the statistical programming language R. 3 credit hours.
Prerequisite: STAT 3355 or instructor consent required.
Offering Frequency: Each year
Grades: 370
Median GPA: A-
Mean GPA: 3.254
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