STAT 3025Q
Statistical Methods
Department of Statistics
Syllabus - Summer 2025
Syllabus information may be subject to change. The most up-to-date syllabus is located within the course in HuskyCT.
Course Title: Statistical Methods
Credits: Three
Format: Online, Asynchronous
Prerequisites: MATH 1132Q, MATH 1152Q, or department consent
Course Materials
Required course materials should be obtained before the first day of class.
Required textbook is available for purchase through the UConn Bookstore (or use the Purchase Textbooks tool in HuskyCT). Textbooks can be shipped (fees apply).
Required Materials:
● Textbook: Probability and Statistics for Engineering and the Sciences, Ninth Edition. Jay L.
Devore, Cengage Learning.
Course Description
This course covers descriptive statistics, random variables, and statistical inference. Topics include descriptive statistics, probability, discrete and continuous random variables, point estimate, confidence intervals and tests of hypotheses based on one sample and two samples.
Course Objectives
By the end of the semester, students should be able to:
1. Apply descriptive statistics.
2. Compute probability.
3. Describe probability distributions for discrete random variables.
4. Describe probability distributions for continuous random variables.
5. Calculate point estimate.
6. Construct confidence intervals based on one and two samples.
7. Perform hypothesis tests based on one and two samples.
Course Outline
Module 1: Descriptive Statistics (3 days)
Module 2: Probability (3 days)
Module 3: Discrete Random Variables (3 days)
Module 4: Continuous Random Variables (6 days)
Module 5: Statistical Inference (18 days)
Course Requirements and Grading
Grades for the course are assigned at the instructor’s discretion. Final scores will be curved if deemed necessary.
Grade Distribution by Component:
Problem Sets (25%)
● Due dates are outlined in the course calendar in HuskyCT.
● There are nine problem sets.
● The lowest one problem set grade will be dropped.
● Problem sets must be submitted through HuskyCT. Email submissions will not be accepted.
● Problem sets must be completed independently. While students are permitted to discuss general concepts and problem-solving strategies, all submitted work must be their own and not the result of copying or collaboration on specific answers.
Quizzes (10%)
● Due dates are outlined in the course calendar in HuskyCT.
● There are four quizzes.
● Quizzes must be submitted through HuskyCT. Email submissions will not be accepted.
Exams (60%)
Midterm Exam (25%): It will be held online on Monday, July 28, 2025. It covers Chapter one to Chapter four.
Final Exam (35%): It will be held online on Friday, August 15, 2025. It is comprehensive and includes all materials covered in this course.
● A calculator will be needed for both exams.
● For authentication and verification purposes, Respondus Lockdown Browser with Monitor to record your display of ID and assessment session is required for both exams.
● Your notes and/or the textbook may be used during the exams.
● No makeup exams will be given without proper documents , and the decision will be made by the instructor on a case-by-case basis.
Group Assignments (5%)
● Collaborate on solving training sets before each exam.
● Only one member of the group should submit the final work on HuskyCT, after the group has compared answers.
Grading Scheme
As a rough guide:
|
Letter Grade
|
Percentage
|
GPA
|
|
A
|
92+
|
4
|
|
A-
|
90-< 92
|
3.7
|
|
B+
|
87-<90
|
3.3
|
|
B
|
82-<87
|
3
|
|
B-
|
80-<82
|
2.7
|
|
C+
|
77-<80
|
2.3
|
|
C
|
72-<77
|
2
|
|
C-
|
70-<72
|
1.7
|
|
D+
|
67-<70
|
1.3
|
|
D
|
62-<67
|
1
|
|
D-
|
60-<62
|
0.7
|
|
F
|
<60
|
0
|
* Note: Q course means it has been approved as meeting the General Education requirements for the Quantitative competency.