NORTH CENTRAL TEXAS COLLEGE

COURSE SYLLABUS

COURSE AND INSTRUCTOR INFORMATION

Course title: Elementary Statistical Methods

Course prefix, number, and section number: MATH 1342 0405

Semester/Year of course: Spring 2022

Semester start and end dates: (16-wk) 1/18/2022 – 5/14/2022

Modality: Face to face

Class meeting location/days and times: Corinth Campus, Room – 213/Tuesdays and Thursdays 8 – 9:20am

Support course (if needed): NCBM 0142 0405 (This will only apply to those that have not met the TSI college-readiness standard.)

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

Course materials:

1. Fundamentals of Statistics: Informed Decisions Using Data 6^th edition, Michael Sullivan III, 2022, Pearson OPTIONAL
2. MyLab Statistics (e-text included in MyLab Statistics) REQUIRED
3. A scientific or graphing calculator is required and the TI-30X IIS or TI 83-84 calculators are recommended (NOTE: Any device with internet capabilities will not be allowed on exams.)

Name of instructor: Jason Rutledge

Office location: Corinth Campus, Room 206

Telephone number: 940.498.6286

E-mail address: jrutledge@nctc.edu (or send messages using Canvas)

STUDENT HOURS (OFFICE HOURS)

Each week instructors have time set aside to meet with students outside of class. (Traditionally these times have been 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.

Email is the best way to make contact with the instructor. From there you can request a face to face meeting, online via WebEx or set up a time for a phone conversation. (WebEx is a real time video conference application adopted by NCTC.) Any issues related to content, grading, technical issues or any other aspect of the class can be dealt with through email if meets the need of both the student and instructor.

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 every campus and online.  Sign up for an appointment or see the most current tutoring hours for all campuses at

http://www.nctc.edu/student-services/student-success/tutoring/mathematics-lab.html

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:

MSL (MyStatsLab) Quizzes                    12 Quizzes                           the average of the quizzes is 20% of the final grade

Tests                                                           4 Tests                            the average of the tests is 64% of the final grade

Final Exam                                                 1 Final Exam                           the final exam is 16% of the final grade

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

MSL Quizzes: (20% of Overall Average)

All of the quizzes are done online using MyStatLab (MSL), which should be accessed through Canvas. You will be able to attempt each quiz at most 5 times before the due date and time. All of the due dates and times for the quizzes are given in Canvas as well as through the “My Labs and Mastering” tab. The lowest quiz grade will be dropped for the final grade calculations.

Tests and the Final Exam: (80% of Overall Average)

There will be 4 tests and a comprehensive and departmental Final Exam. Each test is worth 16% of your overall average and the Final will also be worth 16%, for a grand total of 80%. You want to make sure you are super ready for each test. NO MAKE-UP TESTS. Tests will be administered in class and you will be allowed pen/pencil, scratch paper (supplied by the instructor) and an appropriate calculator (when authorized by the instructor). The final exam may also be used to replace the lowest intra-semester test grade. You will be given up to an hour and 50 minutes for each test, including the final, on the following dates. There is a document entitled “All About the Tests!!” with more in-depth details.

              Test #1: (Chapters 1, 2 and Sections 3.1 and 3.2)                          Tuesday, February 8^th

              Test #2: (Sections 3.3, 3.4, 3.5 and Chapter 4)                      Tuesday, March 1^st

              Test #3: (Chapters 5 and 6)                                              Thursday, March 31^st

              Test #4: (Chapters 7, 8, 9 and 10)                                  Thursday, April 28^th

              Final Exam: (Chapters 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10)                        Tuesday, May 10^th (8 – 9:50am)

Late work policy: No late work is accepted for this course.

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

Attendance Policy:

Regular and punctual attendance is expected of all students in all classes for which they have registered. All absences are considered to be unauthorized unless the student is absent due to illness or emergencies. It is the student’s responsibility to provide documentation as to the emergency for approval by the faculty member. Approved college-sponsored activities are also excused absences. The instructor is responsible for judging the validity of any reason given for an absence. Valid reasons for absence, however, do not relieve the student of the responsibility for making up required work. Students will not be allowed to make up an examination missed due to absence unless the absence is documented and excused by the instructor. Student will be dropped from a class by the Registrar upon recommendation of the instructor who feels the student has been justifiably absent or tardy a sufficient number of times to preclude meeting the course’s objectives. Persistent, unjustified absences from classes or laboratories will be considered sufficient cause for College officials to drop a student from the rolls of the College. From Board Policy FC (LOCAL)

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 the course with a “W” is: (16-wk) Monday, April 4, 2022

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