NORTH CENTRAL TEXAS COLLEGE

COURSE SYLLABUS

 

 

COURSE AND INSTRUCTOR INFORMATION

 

 

Course title:  Elementary Statistical Methods

Course prefix, number, and section number:  MATH 1342 0311

Semester/Year of course: Fall 2025

Semester start and end dates: 8/25/2025 – 12/13/2025 (16-week)

Modality:  Asynchronous online

Class meeting location, days, and times:  Required proctored testing (see testing information)

Semester credit hours:  3 (Lecture hours: 48)

 

Course description:  Collection, analysis, presentation and interpretation of data, and probability. Analysis includes descriptive statistics, correlation and regression, confidence intervals and hypothesis testing. Use of appropriate technology is recommended.

 

Course prerequisites:  Meet TSI college-readiness standard for Elementary Statistics; or equivalent

 

Required course materials: 

ALEKS 360 Access for Elementary Statistics (e-text by William Navidi included with access)

TI 83-84 calculator is required (NOTE: Phone calculators will not be allowed on exams.)

Desktop or Tablet meeting technical requirements to access Canvas and complete assignments.

Reliable Internet Access

 

Name of instructor:  Aziel Wilson

Office location:  Corinth 208

Telephone number:  940.498.6227

Email addressawilson@nctc.edu

 

SYLLABUS CHANGE DISCLAIMER

 

 

The faculty member reserves the right to make changes to this published syllabus if it is in the best interest of the educational development of this class. Any such changes will be announced as soon as possible in person and/or writing.

 

 

 

STUDENT HOURS (OFFICE HOURS)

Each week, instructors have time set aside to meet with students outside of class. (Traditionally, these times are called “office hours”.) This is a time when a student may ask questions regarding the class or discuss a particular problem/topic with an instructor one-on-one.  Student hours may be held in-person or online.  See below for instructions on where/when/how instructors will offer student hours in this class.

 

In-person student hours:  Students may contact me via Canvas Inbox or at awilson@nctc.edu to request an in-person appointment.  Please make an appointment at least a day in advance to meet during posted office hours.  If you are unable to meet during posted office hours, let me know your availability.  In most cases, I can schedule an alternate time to meet or call. 

 

 

Online student hours: 

Week 1: Tuesday and Wednesday, 11 am – 12 pm, optional meeting via Webex.  No appointment necessary.  To join, click the Cisco Webex Link in Canvas, then click Join by the meeting in progress. 

 

Week 2 – 14: Day/Time TBD

 Appointments for virtual meetings can be made by clicking the Cisco Webex Link in Canvas, selecting the “Office Hours” option at the top, and choosing an available time slot.  The confirmation and the meeting link will be sent to the student’s Lion Pride email account (it will not appear in Canvas). Please make appointments at least a day in advance. If you are unable to meet during posted office hours, let me know your availability. In most cases, I can schedule an alternate time to meet or call.

 

 

 

MATH TUTORING LAB

 

Students who need help with any math class can visit the NCTC Mathematics Lab to receive assistance.  There are math tutors available on most campuses and online.  This service is free for all students enrolled in an NCTC math class. Sign up for an appointment or see the most current tutoring hours for all campuses at www.nctc.edu/math-lab

 

 

SUMMARY OF COURSE ASSIGNMENTS

 

 

 

List of graded assignments:    

Participation                               5%

12 Core Assignments               15%

20 Topic Modules                     20%

3 Unit Tests                                45%

1 Final Exam                               15%

 

Final grade scale:  90 – 100% = A;   80 – 89% = B; 70 – 79% = C;  60 – 69% = D;  Below 60% = F

 

Attending in-person testing and registering for ALEKS access are essential actions for course success.  Tests are direct assessments of student learning and progress, and ALEKS contains the coursework, e-text, and supplementary resources necessary to complete the course.  

 

Students who have not registered for ALEKS by 11:00 am on Monday, September 1st, may be withdrawn from the course.  Students who lose access to ALEKS after this date will be withdrawn from the course.   The instructor may also request that the student be withdrawn from the course for non-participation when tests are missed or no contact has occurred for two weeks. 

 

 

Modules:  Most modules are scheduled to be completed in one week, though a few may be open longer.   Modules are due at the end of the work week (by 11:59 pm each Sunday).  Students may notice that there is an 8-hour grace period, which means the module will not officially close until 8:00 am on Monday. A closed module does not allow further credit, but a student may catch up or work ahead via the Open Pie/Ready to Learn Link in ALEKS.

 

Exams:  There will be 3 unit tests and 1 Final Exam.  The final exam is comprehensive and required.  Students may schedule a testing appointment at an NCTC campus testing center or attend a session proctored by a math instructor.   (See the Testing Information document in Canvas for more information and exceptions).   

 

Students are allowed one 3-inch by 5-inch notecard at each unit test, and one 8.5-inch by 11-inch sheet for notes on the final exam.  Notecards may include formulas, definitions, reminders, and calculator notes, but must not involve worked example problems. No attachments are allowed on the notecard (nothing glued, stapled, etc).   

 

Late work policy

 

Late work is allowed for the following cases:  

 

Military service, college business, or a documented medical emergency that requires the student to be absent.      

 

Two late modules: Each student may request up to two 48-hour module extensions, on or before the Monday the assignment closes.  The module will be reopened until Wednesday at 11:59 pm, no questions asked.

 

Exams:  Missed exams will earn a zero score; however, the instructor may approve a request to take the exam in advance. The final exam will replace the lowest unit test or one missed test.

 

SEE CANVAS FOR THE COMPLETE COURSE CALENDAR, OUTLINE, DETAILED DESCRIPTION OF GRADED WORK, AND OTHER RELATED MATERIAL.

 

 

COURSE POLICIES

 

 

Academic Integrity Policy:  Scholastic dishonesty shall include, but is not limited to, cheating, plagiarism, academic falsification, intellectual property dishonesty, academic dishonesty facilitation, and collusion.  The use of online math solvers with submitted work is considered academic dishonesty.  Faculty members may document and bring charges against a student who is engaged in or is suspected of being engaged in academic dishonesty.  See Student Handbook, “Student Rights & Responsibilities: Student Code of Conduct ([FLB(LOCAL)]”.  

Consequences for academic dishonesty may include:

  1. Zero on the assignment
  2. Failing grade for the course

 

Attendance Policy:  Regular attendance is expected and necessary for student success in this course. For more information on attendance regulations, please see the 2023-2024 NCTC Catalog.  (Attendance Regulations – NCTC Catalog)

 

Withdrawal Policy: A student may withdraw from a course on or after the official date of record. It is the student’s responsibility to initiate and complete a Withdrawal Request Form. 

 

Last day to withdraw from a 16-week Fall 2025 course with a “W” is: Monday, November 3, 2025

 

Student Learning Outcomes:  At the successful completion of this course the student will be able to:

  1. Explain the use of data collection and statistics as tools to reach reasonable conclusions.
  2. Recognize, examine, and interpret the basic principles of describing and presenting data.
  3. Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
  4. Explain the role of probability in statistics.
  5. Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
  6. Describe and compute confidence intervals.
  7. Solve linear regression and correlation problems.
  8. Perform hypothesis testing using statistical methods.

 

Core Objectives:

X           Critical Thinking

X           Communication

X           Empirical and Quantitative

Teamwork

Personal Responsibility

Social Responsibility

 

COLLEGE POLICIES

 

ADA STATEMENT

NCTC will adhere to all applicable federal, state, and local laws, regulations and guidelines with respect to providing reasonable accommodations to afford equal educational opportunity. It is the student’s responsibility to contact the Office for Students with Disabilities to arrange appropriate accommodations.  See the OSD Syllabus Addendum.


AI STATEMENT

Absent a clear statement from a course instructor, use of or consultation with generative Artificial Intelligence (AI) or other similar technologies shall be treated analogously to assistance from another person, agency, or entity. In particular, using generative AI tools to substantially complete an assignment or exam is not permitted. Students should acknowledge the use of generative AI (other than incidental use) and default to disclosing such assistance when in doubt.

 

When students use generative AI to replace the rigorous demands of personal engagement with their coursework, it runs counter to the educational mission of the college and undermines the heart of education itself. Artificial Intelligence, large language models, and other such technologies hold promise for deploying knowledge in service to others and accelerating the discovery of new knowledge. However, such technology poses new challenges to pedagogy and to integrity. Within the context of the teaching mission of the college and consistent with the Student Code of Conduct, the authority to define the appropriate use, study, and deployment of these technologies rests with the faculty.

 

Individual course instructors, in coordination with their divisions, set policies regulating the use of generative AI tools in their courses, including allowing or disallowing some or all uses of such tools. Course instructors will set such policies in their course syllabi and clearly communicate such policies to students. Students who are unsure of policies regarding generative AI tools are encouraged to ask their instructors for clarification.

 

AI MATH DIVISION STATEMENT

Many online calculators, equation solvers, and graphing tools exist that may aid students in computing and visualizing math problems. These tools are a great resource for helping better understand how to work problems and can be a huge help in studying. However, these tools can be misused/overused. Math classes require students to develop a certain level of skill that a student must be able to demonstrate without the aid of these tools. Often a student may become reliant on these tools or have false sense of confidence in their knowledge and skills. Generally, if a student is using tools or resources to help learn material, eventually they must take away those resources to ensure they are able to work problems with only the tools allowed in the class. In short, we encourage students to use whatever tools they find useful in developing their knowledge and skills. But, these tools must be used thoughtfully so that true understanding and proficiency are developed. 

 

STUDENT HANDBOOK

Students are expected to follow all rules and regulations found in the Student Handbook.

 

STUDENT SERVICES

NCTC provides a multitude of services and resources to support students.  See the Student Services Syllabus Addendum for a listing of those departments and links to their sites.

 

 

QUESTIONS, CONCERNS, or COMPLAINTS

 

 

The student should contact the instructor to deal with any questions, concerns, or complaints specific to the class.  If the student and faculty are not able to resolve the issue, the student may contact the chair or coordinator of the division.  If the student remains unsatisfied, the student may proceed to contact the instructional dean.

 

Name of Instructor: 

Office location: 

Telephone number: 

E-mail address: 

 

Name of Chair/Coordinator:  Ben Owens

Office location:  Corinth 174

Telephone number:  940.498.6209

E-mail address:  bowens@nctc.edu

 

Name of Instructional Dean:  Mary Martinson

Office location:  Gainesville 1403

Telephone number:  940.668.7731 ext. 4377

E-mail address:  mmartinson@nctc.edu