Syllabus

NORTH CENTRAL TEXAS COLLEGE

COURSE SYLLABUS

 

 

COURSE AND INSTRUCTOR INFORMATION

 

 

Course title:  Elementary Statistical Methods

Course prefix, number, and section number:  MATH 1342 0404

Semester/Year of course:  Fall 2024

Class meeting location, days, and times:  Corinth, room 366. Tuesdays/Thursdays 11am – 12:20pm

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

Modality:   Face-to-Face

 

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:

Registration in the course automatically adds a textbook fee to your NCTC tuition and fees which gives you access to the online learning platform and e-book needed for MATH 1342 (MyLab Math).  You do not need to purchase a separate access code.  Instructions on how to get your access code can be found in a document on the Course Homepage or in the course Modules. (see * Inclusive Access below for more information)

 

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

NOTE: Phone calculators will not be allowed on exams.

 

 

Name of instructor:  Jill Yoder

Office location:  Room 207

Telephone number: 940-498-6282, Ext. 6269

E-mail address: jyoder@nctc.edu

To contact me outside of class, I prefer email.  You may use my NCTC email address listed above or use the Canvas messaging inbox.   You should send from your NCTC email address or Canvas.  Do not use your personal email, please. 

 

 

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 in person and/or in writing as soon as possible.

 

 

 

 

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 – 11:00am, 2pm – 4pm

Tuesdays & Thursdays:    1pm – 2:30pm

Fridays:  I am not usually in my office on Fridays, but I 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 https://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                                              50%

Final Exam                                          20%

 

 

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 Thursdays (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 doing a group quiz outside of class.  Contact me on or before the day of the group quiz you will miss for instructions on how to do the quiz outside of class. 

 

 Online quizzes are done through MyLab Statistics.   They are due on Sundays by 11:59 pm.  You will have 5 attempts on each quiz.  The highest grade of those attempts is the one recorded. 

 

Two graded assignment grades (online quizzes and/or graded homework) will be dropped at the end of the semester.  For this reason, late assignments may not be accepted.  Make sure you are allowing yourself enough time to finish the assignments.   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.   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 have to miss an exam, you must 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:  Thursday, September 19

 

Exam #2:  Thursday, October 10

 

Exam #3:  Thursday, October 31

 

Exam #4:   Thursday, November 21

 

Final Exam:  Week of December 9 – 12 (exact date/time will be announced when the college-wide final exam schedule is posted).

 

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:

  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 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 2023-2024 NCTC Catalog.  (https://www.nctc.edu/catalog).   For this online course, I would expect that you would log into the Canvas course about 4 times a week (this is a minimum!  More times is definitely recommended!).

 

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 Analysis

 

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 a 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. However, 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.

 

* Inclusive Access

The NCTC Bookstore and Pearson Education have partnered to provide the best learning resources on the first day of class so that students can gain access to Pearson’s adaptive online platform with the latest version of the eBook at a discount. If students would like to purchase a physical copy of the textbook, they can purchase it through the bookstore.

 

Students who drop before the add/drop date will have their book fees credited back to their student account, and students who remain in the course will be charged a materials fee by the school to have continued access of the online platforms.  If you remain enrolled in the course but wish to opt-out of access to the book please email the NCTC Bookstore within the first two weeks of class with your name and student number.

 

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:  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