stat301 004 – introduction to statistical...

10
MATH 4830/5830 University of Colorado Denver College of Liberal Arts and Sciences MATH 4830/5830 - Applied Statistics Spring 2009 Professor: Joshua French Office: CU-611 (On the 6 th floor of the CU Building, across Speers Blvd from the North Classroom building). Phone: 303-556-6265 Email: [email protected] Course website: http://blackboard.cuonline.edu Class Meeting Times: Monday and Wednesday from 2:30-3:45p in PL-M104 Office Hours : Monday from 11:30a-1:00p and Wednesday from 1:15-2:00p and 4:00-4:45 in CU611 and by appointment. Course Description: Review of estimation; confidence intervals and hypothesis testing; ANOVA; categorical data analysis; non-parametric tests; linear and logistic regression. Instructor Description: This course is about applying statistics in real life. You will learn many statistical techniques for analyzing data as well as when and how to use them. You will learn the appropriate assumptions for these methods, how to perform the necessary calculations, and how to clearly articulate your results. Prerequisite: An introductory statistics course such as MATH 2830 or permission of instructor. Objectives: By the end of this course, students should have a basic understanding of How to select an appropriate statistical technique for a given set of data Appropriately analyze and summarize the results of a statistical analysis Communicate your results in a variety of settings Required Textbook: The Statistical Sleuth: A Course in Methods of Data Analysis , 2 nd edition by Ramsey and Schafer. Joshua French Page 1 of 10 Syllabus

Upload: dinhdung

Post on 13-Jun-2018

216 views

Category:

Documents


0 download

TRANSCRIPT

MATH 4830/5830

University of Colorado DenverCollege of Liberal Arts and Sciences

MATH 4830/5830 - Applied StatisticsSpring 2009

Professor: Joshua FrenchOffice: CU-611 (On the 6th floor of the CU Building, across Speers Blvd from the North Classroom building).Phone: 303-556-6265Email: [email protected] website: http://blackboard.cuonline.edu

Class Meeting Times: Monday and Wednesday from 2:30-3:45p in PL-M104

Office Hours: Monday from 11:30a-1:00p and Wednesday from 1:15-2:00p and 4:00-4:45 in CU611 and by appointment.

Course Description: Review of estimation; confidence intervals and hypothesis testing; ANOVA; categorical data analysis; non-parametric tests; linear and logistic regression.

Instructor Description: This course is about applying statistics in real life. You will learn many statistical techniques for analyzing data as well as when and how to use them. You will learn the appropriate assumptions for these methods, how to perform the necessary calculations, and how to clearly articulate your results.

Prerequisite: An introductory statistics course such as MATH 2830 or permission of instructor. Objectives: By the end of this course, students should have a basic understanding of

How to select an appropriate statistical technique for a given set of data Appropriately analyze and summarize the results of a statistical analysis Communicate your results in a variety of settings

Required Textbook: The Statistical Sleuth: A Course in Methods of Data Analysis, 2nd edition by Ramsey and Schafer.

Additional Materials: Access to a computer with R statistical software. R is a free statistical software package commonly

used in academia and industry. R can be installed on Windows, Linux, and Apple computers. R can be found on the computers in the Math department and MERC lab (NC4015).

Access to a computer with a word processing program such as Microsoft Word or Open Office to complete homeworks, exams, and projects.

Grades: The course is cross-listed as both an undergraduate and graduate course. Accordingly, the grading policies are slightly different for each course as specified below.

Homework: Homework problems will be assigned for each chapter. On the designated days, students are expected to turn a physical paper copy of their completed homework into the professor by the end of class.

Joshua French Page 1 of 6 Syllabus

MATH 4830/5830

Except for documented health, disability, or emergency reasons or prior approval, missed or late homework assignments will be scored as a zero. Some of the assigned problems will be randomly selected for grading (as few as one problem and as many as all of them). These problems alone will be used to determine a student’s grade for that assignment.

Quizzes: Unannounced quizzes will be given throughout the semester to motivate students to keep up with the lectures and reading. Without prior approval or a documented health, disability, or emergency reason, missed quizzes will be scored as a zero.

Exams: There will be two take-home exams during the semester. The take-home midterm will be due on Wednesday, March 10th. The cumulative take-home final exam will be due on May 5th. Exam due dates are fixed now so plan accordingly. The exams should be completed individually. Any sharing of information between students on these exams will be considered cheating. A late exam turned in by 4:00 pm the day after the initial due date will be docked 20% from the overall exam grade. Exams turned in after this time will receive a zero.

Final Project and Presentations: Students enrolled in MATH 5830 will be expected to complete a final project. These students will be expected to analyze a data set of the student’s choice (relevant to the student’s area of study or research), describe their results in a formal paper, and present their results to the class in a short presentation (most likely during the scheduled time of the final exam). The project grade will be determined on the basis of the accuracy of the statistical analysis and the quality of the paper and presentation. More details about this project will be given at a later time. Students enrolled in MATH 4830 or MATH 5830 will be expected to attend all presentations and will be graded accordingly.

Students in MATH 5830: Students enrolled in MATH 5830 may be assigned extra problems for both the homework and take-home exams. These problems are not optional for students enrolled in MATH5830. When explicitly stated, MATH 4830 students may do these problems for extra credit.

Final grades will be determined according to the following weighting scheme:

MATH 4830Attendance of Final Presentations 5%Quizzes 10%Homework 20%Midterm 25%Final Exam 40%

MATH 5830Quizzes 10%Homework 20%Final Project/Presentation 20%Midterm 20%Final Exam 30%

Letter grades will be determined by the following scale:

Percentage Letter Grade92 or higher A90 up to 92 A-88 up to 90 B+82 up to 88 B80 up to 82 B-

Percentage Letter Grade78 up to 80 C+70 up to 78 C68 up to 70 D+62 up to 68 D60 up to 62 D-Below 60 F

Joshua French Page 2 of 6 Syllabus

MATH 4830/5830

Academic Honesty Policy: Students are responsible for completing all exams without assistance (either voluntary or involuntary) from other students unless otherwise directed by the instructor. The minimum punishment for any form of cheating is a zero on the assignment, quiz, exam, etc. If you have a question regarding the wording of a problem on an exam, you may ask me to assist you with the wording. Discussion of the homework assignments between students can be helpful, and is encouraged. Homework assignments should not be copied and work should not be shared. Plagiarism is the use of another person’s words or ideas without crediting that person. Plagiarism and cheating will not be tolerated and may lead to failure on an assignment, in the class, and dismissal from the University. For more information see the Academic Honesty Handbook at http://www.cudenver.edu/Academics/Colleges/SPA/Academics/Documents/Honor_Code.pdf. Official university procedure will be followed if academic dishonesty is found.

Students with Disabilities: The University of Colorado Denver is committed to providing reasonable accommodation and access to programs and services to persons with disabilities. Students with disabilities who want academic accommodations must register with Disability Resources and Services (DRS), North Classroom 2514, Phone 303-556-3450, TTY 303-556-4766, Fax 303-556-4771. DRS requires students to provide current and adequate documentation of their disabilities. Once a student has registered with DRS, DRS will review the documentation and assess the student’s request for academic accommodations in light of the documentation provided. Once you provide me with a copy of DRS’s letter, I will be happy to provide the accommodations DRS has approved.

Student Code of Conduct: All students are expected to abide by the University of Colorado Denver Student Code of Conduct which may be found at http://www.ucdenver.edu/life/services/standards/Documents/UCD%20Code%202008-2009.pdf

Absences, Tardiness, Homework, Quizzes, and Exams: Except for documented health, disability, or emergency reason or prior approval, I will not accept excuses for absences or tardiness. Unless otherwise specified, missed or late homework, quizzes, or exams will be scored as a zero. Documentation of disability or health related issues must be provided to Disability Resources and Services, North Classroom 2514, Phone 303-556-3450, TTY 303-556-4766, Fax 303-556-4771.

Expectations and Other Details: Class attendance and participation is expected. Students are expected to enter class on time and remain

in class for the duration of the class period. Students are expected to ask questions (during class or office hours) if they are confused. It is your

responsibility to ask for help! Students are expected to read the relevant sections of the book. The book will go in greater detail than I

am able to go in class and will be helpful in understanding the lecture material. Material should be read BEFORE the appropriate lectures.

Homework should be completed as the homework sets are assigned. Students will find little benefit in rushing to complete homework assignments.

Course announcements will often be made via email. Emails will be sent to your ucdenver.edu email address per university policy. You are responsible for the information contained in any email messages I send you, regardless of whether the information is repeated in class. It is your responsibility to maintain this email address.

Students will be able to pick up graded assignments directly from me in my office. Turn off beepers and cell phones during class. Adherence to the Student Conduct Code is expected.

Joshua French Page 3 of 6 Syllabus

MATH 4830/5830

H1N1 flu: To minimize transmission of the virus, the university is encouraging all students who become sick with the flu to stay away from campus until they are symptom-free. Standard flu symptoms include fever (100 degrees or higher), cough, sore throat, body aches, headache, chills and fatigue. In addition, diarrhea and vomiting have been associated with H1N1 flu. If you should get these symptoms please contact me as soon as possible so that I know you are ill. All assignments will be posted on Blackboard so that you will know what you are missing. When you return, we will set up a timeline for you to make up missed assignments.

Tentative Course Schedule: The following course schedule is tentative. The exam due dates are fixed but the material covered on the exams is subject to change. Homework assignment due dates will be determined by how quickly we move through material and will be given throughout the semester.

Joshua French Page 4 of 6 Syllabus

MATH 4830/5830

Spring 2010 CLAS Academic Policies

The following policies pertain to all students and are strictly adhered to by the College of Liberal Arts and Sciences (CLAS).

Every student MUST check and verify their schedule prior to the published drop/add deadlines. Failure to verify a schedule is not sufficient reason to justify a late add or drop later in the semester. It is the student’s responsibility to make sure that their schedule is correct prior to the appropriate deadlines.

CLAS students must use their email.ucdenver.edu email address. Email is the official method of communication for all University of Colorado Denver business. All email correspondence will take place using your UCDHSC email address. Go to http://www.ucdenver.edu/student-services/resources/registrar/students/policies/Pages/EmailPolicy.aspx to activate your email address.

Students are NOT automatically added to a course off a wait list after wait lists are dropped. If a student is told by a faculty member that they will be added off the wait list, it is the responsibility of the student to complete the proper paperwork to add a course.

Students are not automatically notified if they are added to a class from a wait-list. Again, it is the responsibility of the student to verify their schedule prior to any official dates to drop or add courses.

Students must complete and submit a drop/add form to make any schedule changes. Students are not automatically dropped from a class if they never attended, stopped attending or do not make tuition payments.

Late adds will be approved only when circumstances surrounding the late add are beyond the student’s control and can be documented independently. This will require a petition and documentation from the student. Please note that the signature of a faculty member on an add form does not guarantee that a late add petition will be approved. Petitions are available in NC 4011.

Late drops will be approved only when circumstances surrounding the late drop have arisen after the published drop deadlines, are beyond the student’s control, and can be documented independently. This will require a petition and documentation from the student. Pre-existing circumstances (circumstances that existed prior to the published drop deadlines) regarding illness, work, family, or other confounding issues will not be considered adequate reason to drop or withdraw from courses after the published University and/or College drop deadlines. Please note that the signature of a faculty member does not guarantee that a late drop petition will be approved. Petitions are available in NC 4011.

Undergraduate students wishing to graduate in spring of 2010 must meet with their academic advisor by census date to obtain a graduation application. This application must be completed and submitted by 5 PM on February 3, 2010. You can obtain an application ONLY after meeting with your academic advisor. There are no exceptions to this policy or date.

Graduate students wishing to graduate in spring semester 2010 must complete their Intent to Graduate form and have a Request for Admissions to Candidacy on file with the CLAS Dean’s office no later than 5 PM, February 3, 2010.

Students are responsible for completing financial arrangements with financial aid, family, scholarships, etc. to pay their tuition. Students will be responsible for all tuition and fees for courses they do not officially drop using proper drop/add procedures and forms.

Students who drop after the published drop/add period will not be eligible for a refund of the COF hours or tuition.

Joshua French Page 5 of 6 Syllabus

MATH 4830/5830

Important Dates

January 19, 2010: First day of Class January 24, 2010: Last day to add a class or be added to a wait list for a class using the SMART

system. January 25, 2010: LAST DAY TO DROP WITHOUT DROP CHARGE – THIS INCLUDES SECTION

CHANGES. January 25, 2010: Wait Lists are dropped. Any student who was not added to a course automatically

from the wait list by this date and time MUST complete a schedule adjustment form to be added to the class. Students are NOT automatically added to the class from the wait list after this date and time. If your name is not on the official student roster, you are not registered for the course.

January 26-February 3, 2010: Students are responsible for verifying an accurate spring 2010 course schedule via the SMART registration system. Students are NOT notified of their wait-list status by the university. All students must check their scheduled prior to February 3, 2010 for accuracy.

January 26, 2010: First day instructor may approve request to add a student to a full course with a Schedule Adjustment Form.

February 3, 2010: Census date. February 3, 2010 at 5 PM: Last day to add structured courses without a written petition for a late

add. This is an absolute deadline and is treated as such. This deadline does not apply to independent study, internships, project hours, thesis hours, dissertation hours, and late-starting modular courses.

February 3, 2010 at 5 PM: Last day to drop a spring 2010 course or completely with draw from all spring 2010 courses using a schedule adjustment form with a tuition adjustment minus the drop charge and no transcript notation – this includes section changes. Drops after this date will appear on your transcript. This is an absolute deadline and is treated as such.

February 3, 2010 at 5 PM: Last day to request pass/fail or no credit option for a course. February 3, 2010 at 5 PM: Last day to for a graduate student to register for a Candidate for Degree. February 3, 2010 at 5 PM: Last day for a Ph.D. student to petition for a reduction in hours. February 3, 2010 at 5 PM: Last day to apply for spring 2010 graduation. You must make an

appointment and see your academic advisor before this date to apply for graduation if you are an undergraduate; you must complete the intent to graduate and candidate for degree form if you are a graduate student.

February 15-24, 2010: Faculty can use the early alert system. March 22-28, 2010: Spring break (no classes/campus open) April 2, 2010 at 5 PM: Last day for non CLAS students to drop or withdraw from all classes without a

petition and special approval from the student’s academic Dean. After this date, a dean’s signature is needed.

April 16, 2010 at 5 PM: Last day for CLAS students to drop or withdraw from all classes with signatures from the faculty and Dean without a petition. This is treated as an absolute deadline.

After April 16, 2010 all schedule changes require a full petition. Petitions are available in NC 4011. May 10-15, 2010: Finals Week No schedule changes will be granted once finals week has started. There are NO exceptions to this

policy.

Joshua French Page 6 of 6 Syllabus