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5.0
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
STAT 3355 Larry Ammann | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
STAT 3355 Larry Ammann | |||||
B+ | |||||
Grades: 196
Median GPA: A-
Mean GPA: 3.143
2.5
Professor rating
3.1
Difficulty
32
Ratings given
10%
Would take again
Introduction to Data Analysis
STAT 3355
School of Natural Sciences and Mathematics
Graphical and numerical summaries of data; univariate and bivariate probability models; point estimation; sampling distributions; confidence intervals and hypothesis testing; comparison of populations; linear regression; analysis of variance; and implementation of methods using R programming language. 3 credit hours.
Prerequisite: MATH 2414 or MATH 2419 or equivalent.
Offering Frequency: Each year
Grades: 1,073
Median GPA: A-
Mean GPA: 3.195
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Grades: 196
Median GPA: A-
Mean GPA: 3.143
2.5
Professor rating
3.1
Difficulty
32
Ratings given
10%
Would take again
Introduction to Data Analysis
STAT 3355
School of Natural Sciences and Mathematics
Graphical and numerical summaries of data; univariate and bivariate probability models; point estimation; sampling distributions; confidence intervals and hypothesis testing; comparison of populations; linear regression; analysis of variance; and implementation of methods using R programming language. 3 credit hours.
Prerequisite: MATH 2414 or MATH 2419 or equivalent.
Offering Frequency: Each year
Grades: 1,073
Median GPA: A-
Mean GPA: 3.195
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