MTH 3210 – Probability and Statistics, Class Policies
Spring 2019, CRN 30227 (Section 2), MW 2-3:50am, Central 109
Instructor: Dr. John Carter
Office: SI 1052
Email: [email protected]
Course Website: http://sites.msudenver.edu/jcarte11/
Regular Office Hours: MW 1:00am-2:00pm, TR 9:30-10:30am,
TR1:00-2:00pm
Office Hours Statement: The regular office hours listed above do not require an appointment; I will inform the class if I ever need to cancel any office hours. Any others hours I have available can be used for office hours by appointment. Please do not hesitate to contact me by email or in person if you would like to schedule office hours by appointment. Feel free to suggest a meeting time that is convenient for you, but please allow me at least 24 hours advanced notice before any proposed meeting time. Taking advantage of your instructor’s office hours is a critical component of your university education.
Distraction-Free Classroom Statement: An utmost priority in my classroom is to maintain a distraction-free classroom. The following items are common classroom distractions we need to avoid:
- Use of smart phones or other portable electronic devices during class or leaving the classroom at inappropriate times to use these devices. Please turn your phone or portable electronic device OFF during class and put away your headphones.
- Arriving at class late (or leaving early) for avoidable circumstances and failing to enter (or leave) the classroom discretely for unavoidable circumstances.
- Attending class unprepared. We will often do activities that require a calculator, notepad and writing utensil. I expect students to have these items ready to use during our entire class session.
- Socializing that is not related to course content. Lecture will not be our only activity and socializing is acceptable during some classroom activities but discussing topics not related to our classroom activities is not allowed.
Text: Probability and Statistics for Engineering and the Sciences, by Jay L. Devore, 9th Edition, Cengage Learning, 2016. ISBN-13: 978-1305251809, ISBN-10: 9781305251809
Software and Calculator: A graphing calculator that does two-variable statistics is required. You cannot use a smartphone as a calculator. The TI-83 and TI-86 from Texas Instruments are good options. Also we will be doing projects in r which is freely available and on the lab computers.
Exams: There will be three regular exams worth 100 points each. if your highest exam grade will replace your lowest. If you are happy with your existing exam scores and complete all of the home work, the final is optional.
Homework: Homework will be assigned regularly. Homework is due at the beginning of class; selected problems from these assignments will be graded for correctness and the whole assignment is graded for completeness.
Late homework will not be accepted, but your 2 lowest homework grades will be dropped from your final homework grade. Please save these homework drops for emergency absences.
Due dates for homework will always be posted on the course website and announced in class when the homework is assigned. The assignments should be neatly written and multiple pages must be stapled together. The percentage of available points you earn after your lowest two homework grade will be your final homework grade (out of 100).
Projects: Five statistics projects that require the use of statistics software worth 20 points each will be assigned. These projects will illustrate the use of software in an applied statistics setting. These projects are optional and will be included in the grade only if you opt in. The projects will be graded on completeness and are due by the end of finals week.
Grades: 300 exam points + 100 homework points +(up to 100 project points) = 400 (500) total points
The following scale for semester average will not be raised:
| 90-100% | (360 < points) | A | |
| 80-89% | (320 < points ≤ 359) | B | |
| 70-79% | (280 < points ≤ 319) | C | |
| 60-69% | (240 < points ≤ 279) | D | |
| 0-59% | (points ≤ 239) | F |
Attendance: Students are expected to attend every scheduled class. An absence can be excused only in the case of verifiable emergencies I am notified of (by email) prior to the end of class.
Holidays:
– January 21, Martin Luther King Day (No classes, Campus Open)
– March 25-31, Spring Break (No classes, Campus Open)
Withdrawal: The student may withdraw from the course with a 100% refund and deletion from record through Monday, January 28. The student may withdraw from the course with a 50% refund and deletion from record through Thursday, February 7. A student may withdraw with a “W” through Friday, April 5.
Official Syllabus and Learning Objectives: A copy of the official syllabus for the course, including Learning Objectives for the course, can be found at the Department of Mathematical and Computer Sciences Website:
https://mcs.msudenver.edu/syllabi
University Policy statements: Students are responsible for full knowledge of the provisions and regulations pertaining to all aspects of their attendance at MSU Denver, and should familiarize themselves with the following policies:
- GENERAL UNIVERSITY POLICIES
- GRADES AND NOTATIONS including WITHDRAWAL FROM A COURSE,
ADMINISTRATIVE WITHDRAWAL, and INCOMPLETE POLICIES
Students should be aware that any kind of withdrawal can have a negative impact on some types of financial aid, including scholarships.
- ACADEMIC DISHONESTY
- POLICY STATEMENTS ON SEXUAL MISCONDUCT
- ACCOMMODATIONS TO ASSIST INDIVIDUALS WITH DISABILITIES
- CLASS ATTENDANCE ON RELIGIOUS HOLIDAYS
- ELECTRONIC COMMUNICATION (STUDENT EMAIL) POLICY
For a complete description of these policies go to https://mcs.msudenver.edu/policies
