STAT 3717 01: Statistical Methods

STAT 3717 - Statistical Methods

Fall 2026 Syllabus, Section 01, CRN 40825,

Credit hours: 4

Course Meeting Times

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Instructor

Paul Nachim

Email: pmnachim@ysu.edu

Public Instructor Information

Instructor Title: Lecturer
Instructor Professional Qualifications: M.S., Mathematics, 1990
Instructor Office Location: Cafaro Hall, Room 622
Instructor Office Phone: (330) 941-3302

Private Instructor Information

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Course Description

3717. Statistical Methods. Probability and statistics designed for students majoring in the natural sciences. Topics include descriptive statistics, probability, estimation, testing hypotheses, analysis of variance, regression and nonparametric statistics. Use of personal computers with computer software will be required. Credit will not be given for both STAT 3717 and STAT 3743. Prereq.: "C" or better in one of MATH 1552, MATH 1570, MATH 1571, MATH 1571H, MATH 1581, MATH 1581H, MATH 1585H or equivalent. 4 s.h.

Course Readings

Group Title Author ISBN
Optional Introduction to Statistics and Data Analysis (6th edition) Roxy Peck, Tom Short & Chris Olsen

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 – 1.4
2.1 – 2.5
The Role of Data Analysis
Collecting Data Sensibly
8/31 3.1 – 3.5 Graphical Methods for Describing Data
9/7 4.1 – 4.5 Numerical Methods for Describing Data
9/14 5.1 – 5.3 Summarizing Binary Data
9/21 6.1 – 6.7 Probability
9/28 7.1 -7.8 Random Variables and Distributions
10/5 8.1 – 8.3
9.1 – 9.4
Sampling Variability and Distributions
Estimation Using a Single Sample
10/12 10.1 – 10.6 Hypothesis Testing Using a Single Sample
10/19 11.1 – 11.4 Comparing Two Populations or Treatments
10/26 12.1 – 12.3 The Analysis of Categorical Data and Goodness of Fit
11/2 13.1 – 13.6 Simple Linear Regression and Correlation
11/9 14.1 – 14.5 Multiple Regression Analysis
11/16 15.1 -15.2 Analysis of Variance
11/23 16.1 – 16.3 Nonparametric Statistical Methods
11/30 Catch up and Review

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. 

Additional Information

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