STAT 2601 01: Introductory Statistics

STAT 2601 - Introductory Statistics

Fall 2026 Syllabus, Section 01, CRN 40824,

Credit hours: 3

Course Meeting Times

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Instructor

Nhu Dang

Email: nhdang@student.ysu.edu

Public Instructor Information

Instructor Title: Graduate Teaching Assistant
Instructor Professional Qualifications: 
Master’s (Current), Data Science and Statistics, Youngstown State University
Master's, Applied Economics, Youngstown State University 
Bachelor’s, Business Administration, Vietnamese-German University 

Instructor Office Location: Cafaro Hall 611
Instructor Office Phone: 330-941-3302

Private Instructor Information

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Course Description

2601. Introductory Statistics. Designed for students from different disciplines who desire an introduction to statistical reasoning. Topics include collecting and summarizing data, concepts of randomness and sampling, statistical inference and reasoning, correlation and regression. Credit will not be given for both STAT 2601 and STAT 2625. Prereq.: "C" or better in MATH 1552 or Level 35 or higher on YSU Mathematics Placement Test. 3 s.h.

Course Readings

Group Title Author ISBN
Required Elementary Statistics-Brief, with ALEKS access Allan Bluman 9781260487510
  • Inclusive Access 

This course is part of the Inclusive Access program; you should NOT purchase any course 
materials as they are part of your course registration. In the event you drop this course from your schedule on or prior to the last day of DROP/ADD period, your account will be fully refunded automatically.

  • Opt-out 

By default, students are opted into the content. If the student decides at that time, they do not want their required course materials to be delivered in this program at the low cost offered, they have the option to OPT-OUT. We highly encourage students not to opt-out. If you choose to opt-out, you will be responsible for obtaining the appropriate course materials/textbook/connect at the full price.

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Additional Course Materials

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Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Schedule of Topics and Assignments

Week of Reading(s) Proposed Topic Due/To Prepare for Class
8/24 1.1-1.5 The Nature of Probability and Statistics Review syllabus; Read Sections 1.1–1.5
8/31 2.1-2.4 Frequency Distributions and Graphs Read Sections 2.1–2.4; Complete assigned ALEKS module/homework
9/7 3.1-3.4 Data Description Read Sections 3.1–3.4; Complete assigned ALEKS module/homework
9/14 3.1-3.4 Data Description Review Sections 3.1–3.4; Complete assigned quiz/homework
9/21 4.1-4.5 Probability and Counting Rules Read Sections 4.1–4.5; Prepare for Unit Exam 1
9/28 4.1-4.5 Probability and Counting Rules Review Sections 4.1–4.5; Unit Exam 1
10/5 5.1-5.3 Discrete Probability Distributions Read Sections 5.1–5.3; Complete assigned ALEKS module/homework
10/12 6.1-6.3 The Normal Distribution Read Sections 6.1–6.3; Complete assigned quiz/homework
10/19 7.1-7.3 Confidence Intervals and Sample Size Read Sections 7.1–7.3; Complete assigned Aleks module/homework
10/26 7.1-7.3 Confidence Intervals and Sample Size Review Sections 7.1–7.3; Prepare Unit Exam 2
11/2 8.1-8.4 Hypothesis Testing Read Sections 8.1–8.4; Complete assigned ALEKS module/homework; Unit Exam 2
11/9 8.1-8.4 (9.1-9.3 optional) Hypothesis Testing Review Sections 8.1–8.4; Term Project progress/checkpoint
11/16 10.1-10.2 Correlation and Regression Read Sections 10.1–10.2; Prepare for Unit Exam 3
11/23 11.1-11.2 Chi-Square and Analysis of Variance Read Sections 11.1–11.2; Unit Exam 3
11/30 11.1-11.2 Chi-Square and Analysis of Variance Review Sections 11.1–11.2; Term Project Due; Prepare for Final Exam
12/7 Final Exam Final Exam: Friday, December 11 from 8am-10am Review all course material; Final Exam Friday, December 11, 8:00–10:00 AM

The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning. 

Mathematics Achievement Center (MAC)

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