Southern Utah University

Course Syllabus

Southern Utah University
Southern Utah University
Spring Semester 2026

Statistics in Psychology (Face-to-Face)

PSY 3010-01

Course: PSY 3010-01
Credits: 3
Term: Spring Semester 2026
Department: PSY
CRN: 12302

Course Description

A presentation of statistical concepts of particular relevance to psychologists. Topics include descriptive statistics, hypothesis testing, t-tests, ANOVA, correlation, regression, and chi-square tests. Co-requisite: PSY 3015-01. Prerequisite: a grade of C- or better in PSY 1010 and PSY 2010.

Required Texts

Title: Statistics for Psychology (7th Edition)

Authors: Arthur Aron, Elliot J. Coups, Elaine N. Aron, & Erin Cooley

ISBN 10: 0-13-799449-4

ISBN 13: 9780137994496

You do not need to purchase the MyLab attachment

Web Chapter 1 downloaded from or accessed via the textbook.

Materials
  • A calculator that can do square roots and exponents (sometimes, simpler is better)
  • Pencil (you will do work by hand, and it is best to do this work with a pencil vs. a pen)
  • Scratch paper (for doing work by hand)
  • Stapler (for stapling homework assignments)

Learning Outcomes

Course Purpose

In this course, you should gain the following:

  • The ability to understand and explain to others the statistical analyses in reports of psychological research.
  • A preparation for more advanced courses in statistical methods.
  • The ability to identify the appropriate statistical procedure for many basic research situations and to carry out the necessary computations.
  • Further development of your quantitative and analytic thinking skills.
Course Learning Outcomes Alignment
Course Learning OutcomesAssignmentsExams
Quantitative LiteracyXX
Inquiry & AnalysisXX
Critical ThinkingXX
CommunicationXX
Problem SolvingXX

Course Requirements

Exams

There will be five exams throughout the spring semester and one cumulative final exam. Exams have short-answer essay questions, statistical analyses done by hand, and interpretation of SPSS outputs covered in class. Exams will be time limited and take place in class. To maintain the integrity of exams, you must show up on time, no one may start an exam once someone has left the room, and electronic gadgets are strictly prohibited (except calculators). The clock starts as soon as class starts. Students need to study for each exam. The allotted 50 minutes per exam will not be sufficient time for students to look up the answers as they go. Thus, students will need to be thoroughly prepared and familiar with the relevant course information prior to each exam to do well.

Out of the 5 mid-term exams, I will drop the lowest score. I will not drop the cumulative final exam score.

Correct answers for each exam will be posted to Canvas as soon as everyone finishes with the exam. This is to allow you to review answers. If you disagree with the correct answers, then you must submit to me, in writing, your disagreement and explanation within 2 business days of the exam.

Assignments

There are 26 assignments available for you to complete throughout the spring semester. I will drop the 6 lowest scores and only count the 20 highest scores to your final grade.

  • Turn in assignments at the start of class.
  • Assignments should be handwritten neatly, with all pages stapled (not paper-clipped) together.
  • Show your work when completing a problem involving formulas. At the minimum, you should show each complete formula in its basic form filled in with numbers, at least one intermediate step, and the final answer.
  • When writing an essay, you should not use the exact wording in the answers at the back of the text  if you do, you will receive a zero for that problem.
Grading and Final-Grade Calculation

After I calculate your final numerical grade based on the weighting system above, I will convert it to a letter grade based on the chart below:

5 Mid-Term Exams (drop lowest score)400 points (100 points per test)
1 Final Cumulative Exam100 points
26 Assignments (drop 6 lowest scores)500 points (25 points each)
900-1000 pointsA
800-899 pointsB
700-799 pointsC
600-699 pointsD
0-599 pointsF
Instructions

(Due 1/9 @ 2 PM)

On a sheet of paper, put at the top of the page your name, your student ID number, and your email address. Then copy the material in the box below, word for word, in neat handwriting.

Course Outline

DATEREADINGTOPICASSIGNMENT (SET I)DUE
Part I: The BasicsPart I: The BasicsPart I: The BasicsPart I: The BasicsPart I: The Basics
Wed. 1/7n/aSyllabus, Course Policies, and Instructor Intro.Syllabus Homework Assignment (attached)Fri. 1/9
@ 2 PM
Fri. 1/9Web Ch. 1Overview of the Logic and Language of Psychology Researchn/an/a
Mon. 1/12Ch 1:
1-10
Some Basics and Frequency TablesCh 1: 1, 2, 4a, 5a, 5cWed. 1/14
@ 2 PM
Wed. 1/14Ch 1:
10-23
Describing a Distribution GraphicallyCh 1: 4b, 4c, 5b, 5d, 5e, 7, 10Fri. 1/16
@ 2 PM
Fri. 1/16Ch 2:
29438
Central TendencyCh 2: 1a, 1b, 2a, 2b, 5aWed. 1/21
@ 2 PM
Mon. 1/19n/aMLK Jr. DAYNO CLASSn/a
Wed. 1/21Ch 2:
3853
VariabilityCh 2: 1c, 1d, 1e, 2c, 2d, 2e, 5b, 5c, 8Fri. 1/23
@ 2 PM
Fri. 1/23Ch 3:
60-74
Z Scores and Normal CurveCh 3: 1, 2, 3, 6, 7, 8Mon. 1/26
@ 2 PM
Mon. 1/26Ch 3:
75-85
Sample vs. Population and ProbabilityCh 3: 4, 5, 10, 11, 12Wed. 1/28
@ 2 PM
Wed. 1/28n/aReview Chapters 1 to 3n/an/a
Fri. 1/30n/an/aEXAM 1Fri. 1/30
@ 2:50 PM
Part II: Fundamentals of Hypothesis TestingPart II: Fundamentals of Hypothesis TestingPart II: Fundamentals of Hypothesis TestingPart II: Fundamentals of Hypothesis TestingPart II: Fundamentals of Hypothesis Testing
Mon. 2/2Ch 4:
96-106
Introduction to Hypothesis TestingCh 4: 1a, 1b, 2, 3a, 3b, 3cWed. 2/4
@ 2 PM
Wed. 2/4Ch 4:
106-119
Significance Levels and Directional TestsCh 4: 1c, 3d, 4, 5, 7, 8, 9Fri. 2/6
@ 2 PM
Fri. 2/6Ch 5:
124-132
Distribution of MeansCh 5: 1, 2, 3Mon. 2/9
@ 2 PM
Mon. 2/9Ch 5:
133-152
Hypothesis Testing with a Sample of More Than One and Confidence IntervalsCh 5: 6, 8abc, 9abcWed. 2/11
@ 2 PM
Wed. 2/11Ch 5:
133-152
Hypothesis Testing with a Sample of More Than One and Confidence IntervalsCh 5: 7, 8d, 9d, 11Fri. 2/13
@ 2 PM
Fri. 2/13Ch 6:
159-174
Decision Errors, Effect Size, and Introduction to Statistical PowerCh 6: 1, 2, 3Wed. 2/18
@ 2 PM
Mon. 2/16n/aPRESIDENTS DAYNO CLASSn/a
Wed. 2/18n/aReview Chapters 4 to 6n/an/a
Fri. 2/20n/an/aEXAM 2Fri. 2/20
@ 2:50 PM
Part III: The t TestPart III: The t TestPart III: The t TestPart III: The t TestPart III: The t Test
Mon. 2/23Ch 7:
202-214
Basics of the t TestCh 7: 1, 2, 3Wed. 2/25
@ 2 PM
Wed. 2/25Ch 7:
214-235
The t Test for Dependent MeansCh 7: 5, 6, 8, 9, 12Fri. 2/27
@ 2 PM
Fri. 2/27n/at Test practice (Dependent Means)n/an/a
Mon. 3/2Ch 8:
247-260
Introduction to the t Test for Independent MeansCh 8: 1, 2, 3, 5, 6Wed. 3/4
@ 2 PM
Wed. 3/4Ch 8:
260-274
Applying the t Test for Independent MeansCh 8: 4, 7, 8, 10, 11Fri. 3/6
@ 2 PM
Fri. 3/6n/at Test Practice (Independent Means)n/an/a
Mon. 3/9n/aSPRING BREAKNO CLASSn/a
Wed. 3/11n/aSPRING BREAKNO CLASSn/a
Fri. 3/13n/aSPRING BREAKNO CLASSn/a
Mon. 3/16n/aReview Chapters 7 and 8n/an/a
Wed. 3/18n/an/aEXAM 3Mon. 10/27 @ 2:50 PM
Part IV: The Analysis of VariancePart IV: The Analysis of VariancePart IV: The Analysis of VariancePart IV: The Analysis of VariancePart IV: The Analysis of Variance
Fri. 3/20Ch 9:
285-303
Logic and Figuring of the Analysis of VarianceCh: 9: 1, 2a, 2b, 3a, 3b, 4a, 4bFri. 10/31
@ 2 PM
Mon. 3/23Ch 9:
303-311
Applying the Analysis of VarianceCh 9: 3c, 3d, 3e, 3f, 3g, 6, 7, 8, 9, 10Mon. 11/3
@ 2 PM
Wed. 3/25n/aOne-Way ANOVA Practicen/an/a
Fri. 3/27n/aOne-Way ANOVA Practicen/an/a
Mon. 3/30n/aReview Chapter 9n/an/a
Wed. 4/1n/an/aExam 4Wed. 4/1
@ 2:50 PM
Part V: Correlation and the Chi-SquarePart V: Correlation and the Chi-SquarePart V: Correlation and the Chi-SquarePart V: Correlation and the Chi-SquarePart V: Correlation and the Chi-Square
Fri. 4/3Ch 11: 394-405Scatter Diagram and Patterns of AssociationCh 11: 1, 2a, 2b, 3a, 3b, 4a, 4bFri. 11/14
@ 2 PM
Mon. 4/6Ch 11: 405-412Correlation CoefficientCh 11: 2c, 3c, 4c, 5b, 6Wed. 11/19
@ 2 PM
Wed. 4/8Ch 11: 412-430Interpreting the Correlation CoefficientCh 11: 2d, 2e, 2f, 5c, 7, 8, 9Fri. 11/21
@ 2 PM
Fri. 4/10Ch 13: 484-494Chi-Square Test for Goodness of FitCh 13: 1, 3, 4Fri. 11/7
@ 2 PM
Mon. 4/13Ch 13: 494-512Chi-Square Test for IndependenceCh 13: 5, 7a, 7c, 8, 9, 10, 11Mon. 11/10
@ 2 PM
Wed. 4/15n/aReview Chapters 11 to 13n/an/a
Fri. 4/17n/an/aExam 5Fri. 12/5
@ 2:50 PM
FINAL CUMULATIVE EXAM: THUR. 4/23 11:00  12:50 PMFINAL CUMULATIVE EXAM: THUR. 4/23 11:00  12:50 PMFINAL CUMULATIVE EXAM: THUR. 4/23 11:00  12:50 PMFINAL CUMULATIVE EXAM: THUR. 4/23 11:00  12:50 PMFINAL CUMULATIVE EXAM: THUR. 4/23 11:00  12:50 PM
Thur. 4/23n/an/aFINAL CUMULATIVE EXAMThur. 4/23
@ 12:50 PM

Instructor's policies on late assignments and/or makeup work

All assignments may be completed ahead of schedule but may NOT be completed after the due date. This means that you may complete all coursework as far in advance as you wish, however the deadlines are in place to prevent students from waiting until the last minute to complete work. The deadlines are the LAST DAY you can complete the assignment.

  • Late assignments are not accepted  instead, I will drop the 6 lowest scores from your final grades.
  • NOTE. We cannot accept extra credit or make any special arrangements regarding grades or adjust grades due to special circumstances of any kind. Please do NOT ask for any adjustments to your grade (other than for errors in grading).
Missing exam policy

If you miss an exam without an excused absence, you will receive a zero. Make-up exams are given only with documentation of extreme circumstances (e.g., severe illness) or for university approved events (e.g., team sports). Dr. Brown decides what alternate exam/assignment will replace the missed exam.

Attendance Policy

We have classes with content most MWF throughout the spring semester. When you miss class, you miss important information. If you are absent, you are responsible for learning material covered in class.

Course Fees

$4 program fee.

Knowledge of Mathematics

The course does not emphasize mathematics. There will be many calculations, but these require nothing more than elementary high-school algebra. The emphasis, instead, is on understanding the LOGIC of the statistical methods. The most important part of each exam will be either A) a problem in which you use a statistical procedure to analyze the results of a study and then write an essay explaining what you have done to someone who has no knowledge of statistics or B) a problem in which you are presented with the results of a study and must explain what they mean to a person who has never had a course in statistics.

Many assignments, announcements, and messages for this course will be provided online and therefore reliable computer and Internet access is required. If you have any concerns about the technical requirements of this course, please contact me because I can help discuss ways we can work around technical issues.

  • Reading the assigned material, which includes following the numeric examples closely and writing down questions about anything not entirely clear to you. Reading statistics requires close study and re-reading, not just reading through once as you might an ordinary book. You will also find it helpful to complete the How Are You Doing? sections.
  • Completing the assigned practice problems (and turning them in on time). Statistics is a skill  it is necessary to DO statistics, not just read and understand.
  • Attending lectures, listening closely, asking questions  and being sure to have done the reading first. DONT FALL BEHIND!
  • Attending discussion sections led by the teaching assistant  be sure to bring questions from the reading with you. This is your chance to get real help with what is not completely clear and to pursue deeply whatever has excited you. (Yes, there can be exciting things in statistics!)
  • Studying for, taking, and reviewing answers for exams.

Generative LLM/AI Statement: I will not penalize you if you choose to utilize a generative large language model (LLM) system (commonly called Generative AI; e.g., ChatGPT) to help you complete your written assignments  though I warn you about the pitfalls and shortcomings associated with utilizing such systems. I will grade your assignments rigorously, and I have noticed that assignments submitted with Generative LLM/AI systems  like ChatGPT  usually perform poorly.

The SUU Psychology Department values our students irrespective of race, age, gender, sexual orientation, culture, religion, nationality, capabilities, or disabilities. Our faculty and staff are committed to the intellectual, physical, and emotional health of all members of the campus community. Should anyone experience problems or issues with depression, anxiety, grief, discrimination, alienation or marginalization, helplessness or hopelessness, or thoughts of suicide, we implore you to seek us out. Our commitment is to listen, and help you find the resources you need.

Our university is a community of faculty, students, and staff that enjoys an expectation of cooperation, professionalism, and civility during the conduct of all forms of university business, including the conduct of studentstudent and studentfaculty interactions in and out of the classroom. Further, the classroom is a setting in which an exchange of ideas and creative thinking should be encouraged and where intellectual growth and development are fostered. Students who disrupt this classroom mission by rude, sarcastic, threatening, abusive or obscene language, and/or behavior will be subject to appropriate sanctions according to university policy. Likewise, faculty members are expected to maintain the highest standards of professionalism in all interactions with all constituents of the university.

TECHNICAL REQUIREMENTSTECHNICAL REQUIREMENTS
Computer Operating SystemSouthern Utah University uses Canvas which requires Windows 7 or higher for a PC and Mac OSX 10.8 or higher on a Mac. Please contact Canvas Support for more information:
Canvas Support
Hours: Monday  Friday, 8 a.m.  5 p.m.
Phone: 435-865-8555
Email:canvas@suu.edu
Online:help.suu.edu/canvas
Internet AccessCanvas works on a variety of browsers and even has a mobile app. For more information, please contact Canvas Support.
SoftwareBasic word processing software is required, and you will need to be able to save documents in a PDF format. You may also need presentation software (e.g., Powerpoint, Prezi).

The content of this course and syllabus is subject to change at the need and discretion of the instructor. Students will be notified in class and by email of any changes to the syllabus and receive new copies of the revised syllabus.

ADA Statement

Students with medical, psychological, learning, or other disabilities desiring academic adjustments, accommodations, or auxiliary aids will need to contact the Disability Resource Center, located in Room 206F of the Sharwan Smith Center or by phone at (435) 865-8042. The Disability Resource Center determines eligibility for and authorizes the provision of services.

If your instructor requires attendance, you may need to seek an ADA accommodation to request an exception to this attendance policy. Please contact the Disability Resource Center to determine what, if any, ADA accommodations are reasonable and appropriate.

Academic Credit

According to the federal definition of a Carnegie credit hour: A credit hour of work is the equivalent of approximately 60 minutes of class time or independent study work. A minimum of 45 hours of work by each student is required for each unit of credit. Credit is earned only when course requirements are met. One (1) credit hour is equivalent to 15 contact hours of lecture, discussion, testing, evaluation, or seminar, as well as 30 hours of student homework. An equivalent amount of work is expected for laboratory work, internships, practica, studio, and other academic work leading to the awarding of credit hours. Credit granted for individual courses, labs, or studio classes ranges from 0.5 to 15 credit hours per semester.

Academic Freedom

SUU is operated for the common good of the greater community it serves. The common good depends upon the free search for truth and its free exposition. Academic Freedom is the right of faculty to study, discuss, investigate, teach, and publish. Academic Freedom is essential to these purposes and applies to both teaching and research.

Academic Freedom in the realm of teaching is fundamental for the protection of the rights of the faculty member and of you, the student, with respect to the free pursuit of learning and discovery. Faculty members possess the right to full freedom in the classroom in discussing their subjects. They may present any controversial material relevant to their courses and their intended learning outcomes, but they shall take care not to introduce into their teaching controversial materials which have no relation to the subject being taught or the intended learning outcomes for the course.

As such, students enrolled in any course at SUU may encounter topics, perspectives, and ideas that are unfamiliar or controversial, with the educational intent of providing a meaningful learning environment that fosters your growth and development. These parameters related to Academic Freedom are included in SUU Policy 6.6.

Academic Misconduct

Scholastic honesty is expected of all students. Dishonesty will not be tolerated and will be prosecuted to the fullest extent (see SUU Policy 6.33). You are expected to have read and understood the current SUU student conduct code (SUU Policy 11.2) regarding student responsibilities and rights, the intellectual property policy (SUU Policy 5.52), information about procedures, and what constitutes acceptable behavior.

Please Note: The use of websites or services that sell essays is a violation of these policies; likewise, the use of websites or services that provide answers to assignments, quizzes, or tests is also a violation of these policies. Regarding the use of Generative Artificial Intelligence (AI), you should check with your individual course instructor.

Emergency Management Statement

In case of an emergency, the University's Emergency Notification System (ENS) will be activated. Students are encouraged to maintain updated contact information using the link on the homepage of the mySUU portal. In addition, students are encouraged to familiarize themselves with the Emergency Response Protocols posted in each classroom. Detailed information about the University's emergency management plan can be found at https://www.suu.edu/emergency.

HEOA Compliance Statement

For a full set of Higher Education Opportunity Act (HEOA) compliance statements, please visit https://www.suu.edu/heoa. The sharing of copyrighted material through peer-to-peer (P2P) file sharing, except as provided under U.S. copyright law, is prohibited by law; additional information can be found at https://my.suu.edu/help/article/1096/heoa-compliance-plan.

You are also expected to comply with policies regarding intellectual property (SUU Policy 5.52) and copyright (SUU Policy 5.54).

Mandatory Reporting

University policy (SUU Policy 5.60) requires instructors to report disclosures received from students that indicate they have been subjected to sexual misconduct/harassment. The University defines sexual harassment consistent with Federal Regulations (34 C.F.R. Part 106, Subpart D) to include quid pro quo, hostile environment harassment, sexual assault, dating violence, domestic violence, and stalking. When students communicate this information to an instructor in-person, by email, or within writing assignments, the instructor will report that to the Title IX Coordinator to ensure students receive support from the Title IX Office. A reporting form is available at https://cm.maxient.com/reportingform.php?SouthernUtahUniv

Non-Discrimination Statement

SUU is committed to fostering an inclusive community of lifelong learners and believes our university's encompassing of different views, beliefs, and identities makes us stronger, more innovative, and better prepared for the global society.

SUU does not discriminate on the basis of race, religion, color, national origin, citizenship, sex (including sex discrimination and sexual harassment), sexual orientation, gender identity, age, ancestry, disability status, pregnancy, pregnancy-related conditions, genetic information, military status, veteran status, or other bases protected by applicable law in employment, treatment, admission, access to educational programs and activities, or other University benefits or services.

SUU strives to cultivate a campus environment that encourages freedom of expression from diverse viewpoints. We encourage all to dialogue within a spirit of respect, civility, and decency.

For additional information on non-discrimination, please see SUU Policy 5.27 and/or visit https://www.suu.edu/nondiscrimination.

Pregnancy

Students who are or become pregnant during this course may receive reasonable modifications to facilitate continued access and participation in the course. Pregnancy and related conditions are broadly defined to include pregnancy, childbirth, termination of pregnancy, lactation, related medical conditions, and recovery. To obtain reasonable modifications, please make a request to title9@suu.edu. To learn more visit: https://www.suu.edu/titleix/pregnancy.html.

Disclaimer Statement

Information contained in this syllabus, other than the grading, late assignments, makeup work, and attendance policies, may be subject to change with advance notice, as deemed appropriate by the instructor.