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 2024

Semester start and end dates:  8/26/2024 – 12/14/2024 (16-week session)

Modality: Face to face

Class meeting location, days, and times: COR 214, MW 12:30 pm -1:50 pm

Support course (if needed):  NCBM 0142.0402 COR 214, MW 1:55 pm – 2:20 pm

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:

Electronic textbook (e-book) and Aleks (assignment software) are included.

TI -84 calculator is required

NOTE: Phone calculators are not allowed on exams.

 

Name of instructor: Aziel Wilson      

Office location: Corinth Campus Room 208

Telephone number: (940) 498-6227

E-mail address: awilson@nctc.edu

 

Outside of class or office hours, students may contact me through Canvas Inbox (preferred) or from a Lion Pride email account. For student confidentiality, I will not discuss student progress or assignment information through personal email accounts.    

 

SYLLABUS CHANGE DISCLAIMER

 

 

The faculty member reserves the right to change 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 in 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: MW   2:30 pm – 3:00 pm (walk-in) and T 10 am – 11 am (by appointment). Students may walk in, or call during the Monday afternoon times to discuss concepts, course material, or class procedures.     Students may schedule Tuesday appointments through Canvas to reserve a specific time slot. 

 

 

 

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 in-person 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 each campus at https://www.nctc.edu/math-lab. 

 

 

SUMMARY OF COURSE ASSIGNMENTS

  

List of graded assignments:

Participation    5%

10 Quizzes        15%

 5 Data Labs     20%

 3 Tests              45%

Final Exam        15%

 

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

 

Homework: Supplemental practice is available in Aleks Mylab.  These assignments are not graded, however, statistics show that students who complete practice homework tend to be more successful in the class.  This practice can be used to review before taking quizzes and tests.

 

Quizzes:  Ideally, students will complete the quiz by the end of the week (by Sunday at 11:59pm).  However, a 12-hour extension/grace period is in place so late penalties will begin at noon on Monday mornings.  Students may make up to 3 attempts on each quiz and with the highest score recorded.  The lowest quiz score will be dropped at the end of the semester.

 

Exams:  There will be 3 unit tests and 1 Final Exam.  The final exam is comprehensive and required.  Students who have alternate testing arrangements testing must schedule an appointment at an NCTC campus testing center (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 include worked example problems. No attachments are allowed on the notecard (nothing glued, stapled, etc).

 

There are no makeup exams or retakes for exams, however, the final exam may also be used to replace the lowest unit test grade or one missed exam.  

 

Late work policy:

 

A 20% penalty will be deducted for late data labs.  Data labs may be accepted late up to 3 days after the due date. 

 

A 10% penalty will be deducted for late quizzes.  All quiz assignments will close on Monday, May 6^th.  

 

No late exams will be accepted.   Missed exams will earn a zero score.

 

 

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:

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

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 may be required to meet with me if I have questions about their work. If you are not able to explain to me how to work a similar problem, you should not submit the solution as your own and will be subject to the academic integrity policy consequences.

 

Attendance Policy:  Regular and punctual attendance is expected and necessary for student success in this course. For more information on attendance regulations please see the 2023-2024 NCTC Catalog.  (https://www.nctc.edu/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 course with a “W” is: Monday, November 4, 2024

 

 

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