STAT 2625C 05: Stat Lit with CoReq

STAT 2625C - Statistical Literacy and Critical Reasoning with Co-Requisite Support

Fall 2026 Syllabus, Section 05, CRN 44249,

Credit hours: 6

Course Meeting Times

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Instructor

Jonathan McCullough

Email: jmccullough01@ysu.edu

Public Instructor Information

Instructor Title:  Adjunct Instructor
Instructor Professional Qualifications:

Master of Science Mathematics, Shawnee State University

Bachelor's, Mathematics Education, Geneva College


Instructor Office Location: Off Campus


Instructor Office Phone: 330-941-3302

Private Instructor Information

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Course Description

2625C. Statistical Literacy and Critical Reasoning with Co-Requisite Support. An introduction to statistics and its applications. Topics include descriptive statistics, experimental design, probability, sampling distribution, statistical inference, correlation and regression. Emphases are on applications, critical reasoning, and data analysis using statistical software. Includes co-requisite support for basic algebra skills required to be successful in the course. 6 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.  

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
2.1-2.4
The Nature of Probability and Statistics
Frequency Distributions and Graphs
8/31 3.1-3.4 Data Description
9/7 3.1-3.4 Data Description
9/14 4.1-4.5 Probability and Counting Rules
9/21 4.1-4.5 Probability and Counting Rules
9/28 5.1-5.3 Discrete Probability Distributions
10/5 6.1-6.3 The Normal Distribution
10/12 7.1-7.3 Confidence Intervals and Sample Size
10/19 7.1-7.3 Confidence Intervals and Sample Size
10/26 8.1-8.4 Hypothesis Testing
11/2 8.1-8.4 (9.1-9.3 optional) Hypothesis Testing
11/9 10.1-10.2 Correlation and Regression
11/16 11.1-11.2 Chi-Square and Analysis of Variance
11/23 11.1-11.2 Chi-Square and Analysis of Variance
11/30 Final Exam Final Exam: 12/12. 12:00 am - 11:59 pm

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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