NORTH CENTRAL TEXAS COLLEGE

COURSE SYLLABUS

 

COURSE AND INSTRUCTOR INFORMATION

 

 

Course title: Elementary Statistical Methods

Course prefix, number, and section number: MATH 1342 0345 and .0945

Semester/Year of course: Spring 2026

Semester start and end dates: 1/12/2026 – 5/9/2026 (16-week)

Modality: Hybrid 

Class meeting location, days, and times: Thursdays Corinth 211 or WebEx 6:30-7:50

Support course (if needed) meeting location, days, and times:  NCBM 0142 0345 and 0945

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

 

Name of instructor: Tracey Johansen

Office location: WebEx

E-mail address: tjohansen@nctc.edu

Office hours for students:

Mon-Thur 3:30PM-5:00PM

By appointment only

 

Canvas email is the best way to reach me.

 

Required course materials:

Included in Lion Book Bundle 

MyLab Statistics (e-text included in MyLab Statistics)

 

Not included in Lion Book Bundle

Microsoft Excel or Google Sheets

Scientific calculator, TI-30X IIS or TI 83-84 is required

Note: Phone calculators will not be allowed on exams.

 

Optional course materials:  Fundamentals of Statistics: Informed Decisions Using Data 6^th edition, Michael Sullivan III, 2022, Pearson

 

 

Purchasing Course Materials

Starting in Spring 2026 NCTC is partnering with Barnes & Noble College (BNC) to make purchasing course materials easy and affordable.  When students register for classes, they are automatically opted in to the Lion Book Bundle which will provide students first day access to course materials.  In this program students are charged $24 per credit hour ($72 for a 3-hour class) as a fee on their NCTC student account. (These are labeled as “Book Fees” on NCTC invoice). Students may choose to opt out of this program, but would then be expected to purchase needed class materials on their own. If opting out, students would receive a refund on their NCTC student account. Students may choose to opt out starting one month prior to classes beginning through the first week of class. Students might benefit from opting out if they are enrolled in classes that use OER (free course materials).  Note: The Lion Book Bundle applies to all classes a student is registered for in a given semester (both 16-week and 8-week). A student must either opt in or out for all classes—not each class individually.  If you want to take advantage of the Lion Book Bundle, no action is needed as students are automatically opted in.  If you would like to opt out of the program, you must go to the Opt-out page (click link below).

Click here for more information: Lion Book Bundle information

 

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.

 

Online student hours:  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 at least a day in advance.

 

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. For on-campus tutoring no appointment is needed. For online tutoring, go to UpSwing tutoring in OneLogin to make an appointment.
Tutor schedules and more information: www.nctc.edu/math-lab.

 

 

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.

SUMMARY OF COURSE ASSIGNMENTS

 

List of graded assignments:

 

   

 

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

 

For exams, you will be allowed a 3x5 notecard, scratch paper, pen/pencil, and a calculator. NO PHONES WILL BE ALLOWED DURING EXAMS.

 

The final exam may also be used to replace the lowest unit test grade.

 

Late work policy:  Late work will be accepted at a 20% penalty up to the test related to the late assignments. After the test, late work will not be accepted.

 

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” for more details.  

Consequences for academic dishonesty may include:

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

 

Canvas Access: All students must have complete access to Canvas and other online course materials for the entire semester. It is the student’s responsibility to have access to the internet, as well as all needed programs to complete both in-person and online courses.  Students are not to give any other person access to his/her Canvas or online course platforms. Students can be removed from the course immediately upon violating this rule.  Once a student his given another person access to his/her Canvas account, the credibility of any work completed becomes questionable.

 

Artificial Intelligence Policy:  While there are many great resources available to you, keep in mind that for this class ChatGPT, Desmos, Wolfram-Alpha, Chegg, Symbolab, and similar programs should only be used to help you understand the material we are covering in the class. Any student suspected of submitting work that is not their own (whether it is copied from another student or from technology) will be required to meet with me. If a student is found to have presented work that is not their own, they will be subject to the academic integrity policy. If you would not be able to explain to me how to work a similar problem, you should not submit the solution as your own.

 

Attendance Policy:  Regular attendance is expected and necessary for student success in this course. For more information on attendance regulations please see the 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 Spring 2026 course with a “W” is: Monday, March 30, 2026

 

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