APMA 3110
Applied Statistics and Probability
Course Description
Prerequisites
APMA 2120 or equivalent
Introduces basic concepts of probability such as random variables, single and joint probability distributions, and the central limit theorem. The course then emphasizes applied statistics, including descriptive statistics, statistical inference, confidence intervals, hypothesis testing, correlation, linear regression, and ANOVA. Students cannot receive credit for both this course and APMA 3120. Prerequisite: APMA 2120 or equivalent.
Instructors
To Announced
Fall 2026
mowefr 2:00pm - 2:50pm
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Rating
—
Difficulty
—
GPA
Deepyaman Maiti
Fall 2026
mowefr 1:00pm - 1:50pm
3.8
Rating
2.3
Difficulty
3.38
GPA
Kyle Lampe
Spring 2026
mowefr 11:00am - 11:50am
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Rating
—
Difficulty
2.58
GPA
Hui Ma
Spring 2026
mowefr 11:00am - 11:50am
4.6
Rating
3.3
Difficulty
3.22
GPA
Gary Koenig
Fall 2025
MoWeFr 2:00pm - 2:50pm
2.8
Rating
4.6
Difficulty
2.96
GPA
Md Rahman
Spring 2025
MoWeFr 11:00am - 11:50am
—
Rating
—
Difficulty
3.10
GPA
Md Arafatur Rahman
Spring 2025
MoWeFr 1:00pm - 1:50pm
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Rating
—
Difficulty
—
GPA
Anne Fernando
Spring 2024
MoWeFr 11:00am - 11:50am
—
Rating
—
Difficulty
2.92
GPA
Stacie Pisano
Fall 2022
MoWeFr 1:00pm - 1:50pm
2.5
Rating
3.6
Difficulty
2.96
GPA
Julie Spencer
Fall 2022
MoWeFr 12:00pm - 12:50pm
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Rating
—
Difficulty
—
GPA
Julia Spencer
Fall 2020
3.0
Rating
5.0
Difficulty
2.92
GPA
Norman Beil
Summer 2019
—
Rating
—
Difficulty
3.14
GPA
Megan Ryals
Fall 2018
2.2
Rating
4.5
Difficulty
2.81
GPA
Roman Krzysztofowicz
Fall 2017
3.3
Rating
4.0
Difficulty
2.45
GPA
Bernard Fulgham
Spring 2017
—
Rating
—
Difficulty
2.96
GPA
James Lark
Spring 2016
2.9
Rating
3.3
Difficulty
—
GPA
Diana Morris
Fall 2015
4.2
Rating
3.0
Difficulty
3.23
GPA
John Maybee
Spring 2015
4.0
Rating
2.5
Difficulty
3.15
GPA
Michael Pisano
Spring 2015
—
Rating
—
Difficulty
—
GPA
Gianluca Guadagni
Fall 2014
2.3
Rating
2.0
Difficulty
3.05
GPA
Dan Spitzner
Spring 2011
3.2
Rating
1.3
Difficulty
2.94
GPA