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STAT 3120

Introduction to Mathematical Statistics

Course Description

Prerequisites

A prior course in probability

Disciplines

Quantification, Computation & Data Analysis

This course provides a calculus-based introduction to mathematical statistics with some applications. Topics include: sampling theory, point estimation, interval estimation, testing hypotheses, linear regression, correlation, analysis of variance, and categorical data.

Instructors

Current All Time

Harsimran Somal

Spring 2025
TuTh 5:00pm - 6:15pm TuTh 3:30pm - 4:45pm
4.6
Rating
3.85
GPA

To Announced

Fall 2024
—
Rating
—
GPA

Krista Varanyak

Summer 2024
2.8
Rating
3.44
GPA

Xiwei Tang

Fall 2023
4.2
Rating
3.50
GPA

Prince Afriyie

Summer 2023
—
Rating
—
GPA

Richard Ross

Spring 2023
1.4
Rating
3.63
GPA

Justin Weinstock

Spring 2022
4.3
Rating
3.60
GPA

Evan Bagley

Summer 2020
4.3
Rating
3.68
GPA

Taylor Brown

Spring 2020
2.8
Rating
3.13
GPA

Faculty Staff

Fall 2020
—
Rating
—
GPA

Alice Liu

Summer 2018
—
Rating
3.05
GPA

Daniel Keenan

Fall 2017
3.5
Rating
3.02
GPA

Caitlin Steiner

Summer 2016
—
Rating
2.80
GPA

Miao Lu

Fall 2016
1.8
Rating
3.40
GPA

Xiaoming Li

Summer 2015
—
Rating
3.53
GPA

Jingwei Wu

Spring 2015
3.7
Rating
3.76
GPA

Feiyang Niu

Spring 2015
1.0
Rating
3.14
GPA

Yuan Xue

Summer 2014
—
Rating
3.87
GPA

Robert Pfister

Spring 2014
—
Rating
3.16
GPA

Gretchen Martinet

Fall 2014
—
Rating
3.14
GPA

Jianhui Zhou

Fall 2013
—
Rating
3.24
GPA

Zhenjun Ma

Summer 2012
—
Rating
3.50
GPA

Xiaohui Wang

Summer 2011
—
Rating
2.85
GPA

Yanqing Hu

Summer 2010
—
Rating
—
GPA

Gianluca Guadagni

Spring 2010
—
Rating
3.33
GPA

Tao Huang

Spring 2010
—
Rating
3.29
GPA

Tingting Zhang

Fall 2010
—
Rating
3.18
GPA