NORTH CENTRAL TEXAS COLLEGE
COURSE SYLLABUS
COURSE AND INSTRUCTOR INFORMATION
Course title: Elementary Statistical Methods
Course prefix, number, and section number: MATH 1342 0402
Semester/Year of course: Fall 2025
Semester start and end dates: 8/25/2025 – 12/13/2025 (16-week)
Modality: Face to face
Class meeting location, days, and times: Corinth room 355, Monday/Wednesday 12:30pm – 1:50pm
Support course (if needed) meeting location, days, and times: NCBM 0142 0402, Same room & days, 1:55pm – 2:20pm
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:
MyLab Statistics (e-text included in MyLab Statistics)
TI-30X IIS or TI 83-84 calculator is recommended---a scientific calculator is required.
NOTE: Phone calculators will not be allowed on exams.
Optional course materials: Fundamentals of Statistics: Informed Decisions Using Data 6th edition, Michael Sullivan III, 2022, Pearson
Name of instructor: Jill Yoder
Office location: Corinth, Room 207
Telephone number: 940-498-6282, Ext. 6269
E-mail address: jyoder@nctc.edu
I do prefer email if you need to contact me outside of class. Please use your NCTC email address or the Canvas inbox.
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”.) These are times when a student may ask questions regarding the class, or discuss a particular problem/topic with an instructor one-on-one.
You may meet with me in my office during office hours (listed below) OR meet virtually online Appointments for virtual meetings can be made by clicking this Cisco Webex Link in Canvas and selecting the “Office Hours” option at the top. Please make appointments for these virtual meetings at least a day in advance if possible. For in-person meetings, you do not have to make an appointment, although you may. You can just show up at my office (see exception for Fridays below.
Mondays & Wednesdays: 9:30am – 12:30pm
Tuesdays & Thursdays: 1pm – 3pm
Fridays: I am not usually in my office on Fridays, but I sometimes can be. Make an appointment at least 24 hours in advance if you want to meet in person. The college closes at noon on Fridays, so it must be before then.
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
Type of assignment Percent of grade
Quizzes 30%
~ 10 Group Quizzes
~ 15 Online Quizzes
4 Exams 55%
Final Exam 15%
Final grade scale: 90 – 100% = A; 80 – 89% = B; 70 – 79% = C; 60 – 69% = D; Below 60% = F
Group quizzes are done in class on Wednesdays (except when we have an exam). You must be in class to take a group quiz. I will allow a one-time exception per student for this rule, where you may complete a group quiz outside of class. Contact me on or before the day of the group quiz you will miss for instructions.
Online quizzes are done through MyLab Statistics. They are due on Saturdays by 11:59 pm. You will have 5 attempts on each quiz. The highest grade of those attempts is the one recorded.
Two quiz grades (online and/or group) will be dropped at the end of the semester. For this reason, I will usually not extend the deadline for online quizzes. Make sure you are allowing yourself enough time to finish the quizzes. Do not start them the evening they are due!
There will also be practice homework assignments and MyLab video assignments each week, but these will not count toward your overall grade (you will see a grade in your Canvas gradebook, but it will not affect your overall grade). They are important, however, to your learning of the material. Make time each week to work on these. They will be open past their due dates, so you can work on them at any time. You will need to access them from the weekly pages or through MyLab and Mastering, as the links will disappear from the “To-Do” lists in Canvas once they have been started.
Exams are taken in class on the dates given below. If you must miss an exam, you need to contact the instructor on or before the exam date in order to have a chance at a make-up exam. Once an exam is handed back to the class it may not be made up. Contact the instructor for other options.
Exam Schedule
Exam #1: Wednesday, September 17
Exam #2: Wednesday, October 8
Exam #3: Wednesday, October 29
Exam #4: Wednesday, November 19
Final Exam: Wednesday, December 10, 12:30pm - 2:30pm
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 to be engaged in academic dishonesty. See Student Handbook, “Student Rights & Responsibilities: Student Code of Conduct ([FLB(LOCAL)]”.
Consequences for academic dishonesty may include:
- Zero on the assignment
- 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:
- Explain the use of data collection and statistics as tools to reach reasonable conclusions.
- Recognize, examine, and interpret the basic principles of describing and presenting data.
- Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
- Explain the role of probability in statistics.
- Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
- Describe and compute confidence intervals.
- Solve linear regression and correlation problems.
- 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: Jill Yoder
Office location: Corinth, Room 207
Telephone number: 940-498-6282, Ext. 6269
E-mail address: jyoder@nctc.edu
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