ST 422-001:
Introduction to Mathematical Statistics II
Spring Session, 2019
Detailed Course Syllabus



Course:

ST 422-001 Introduction to Mathematical Statistics II

Time:

1:30pm -- 2:45pm: Tuesdays & Thursdays

Place:

1102 SAS Hall

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Instructor:

Sujit K. Ghosh

Email:

sujit.ghosh@ncsu.edu

Telephone

515-2570

Office:

5116 SAS Hall (5th floor)

Office hours:

3:00pm -- 5:00pm: Tuesdays (or by appointment)

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Teaching Assistant:

Suman Majunder

Email:

smajumd2@ncsu.edu

Telephone:

919-515-2528

Office:

1101 SAS Hall (Statistics Tutorial Center)

Office hours:

3:00pm -- 5:00pm: Wednesdays (or by appopintment)


Class links: Course Materials | Private Tutors

Course prequisite: ST 421

Required text: Wackerly, Mendenhall, and Schaeffer (2008). Mathematical Statistics with Applications, 7th Edition. Cengage Learning. (ISBN-10: 1133384382 ISBN-13: 9781133384380)

Grades: It is the student's responsibility to be aware of their grades in the course and the appropriate level of work required. Your final grade in this course will depend on the following:
Item
Portion of Grade
Homework
15% of grade (lowest two scores dropped)
Midterm I (February 21, 1:30pm-2:45pm, 1102 SAS Hall))
20% of grade
Midterm II (March 28, 1:30pm-2:45pm, 1102 SAS Hall))
20% of grade
R Project (Due April 18, 5:00PM, ET)
10% of grade
Final Exam (April 30, 1:00pm-4:00pm, 1102 SAS Hall)
35% of grade
The course uses the standard NCSU grading scale.

Incomplete (IN) grades are given only as specified in university regulations. Students who wish to audit the course with satisfactory status must register officially for the course and will be required to obtain an 75% or greater on the homework assignments to receive credit. There is no requirement to take the exams or do the R project.

Homework: There will about 10 homework assignments during the semester with the lowest two assignment scores being dropped. Many of the assignments will include a programming portion. As the lowest two scores are dropped, no late assignments are accepted.

R Project: Toward the end of the semester, there will be a larger R project done in small groups. Details will be provided as the project nears.

Exams: All exams are closed book and closed notes. However, students will be provided with a formula sheet by the instructor for each exam so that memorization is not required. Each exam and the final are cumulative. The final exam will focus on newer material but the class is inherently cumulative. Students who are unable to attend an exam for a legitimate unavoidable reason may take a make-up exam only if the student provides suitable documentation of the delay and they are able to take the make-up in a very timely manner. If a make-up can't be taken the final exam will be reweighted for the midterm exam. The midterm exams are limited to 1.25 hours. The final exam is limited to 3 hours.

Calculator: Students may wish to use a basic calculator that can do addition, subtraction, multiplication, division and square roots. Note you must use a basic calculator only, use of calculators that store information is not allowed. You shouldn't really need a calculator as the exam focuses more on the work rather than plugging things into a calculator.

Students with disabilities: Reasonable accommodations will be made for students with verifiable disabilities. Any student who feels they may need an accommodation based on the impact of a disability should contact the instructor privately to discuss your specific needs. In order to take advantage of available accommodations, students must register with Disability Services for Students at 1900 Student Health Center, Campus Box 7509, 515-7653. For more information on NC State's policy on working with students with disabilities, please click here

Academic Misconduct: Cheating, plagiarism and other forms of academic dishonesty will not be tolerated. To create a fair and equitable environment, the instructor aggressively enforces the universities policies on academic misconduct. All exams are to be completed individually. Although working together on written assignments to overcome obstacles is encouraged, each student must compose and write their own answers, explanations, analyses, and reports unless otherwise specified. All cases of academic misconduct will be handled as set out in university policies. For additional information see: Student Conduct Policies
Course goals: Second of a two-semester sequence in mathematical statistics providing the foundation for many subsequent courses in statistics and economics, both theoretical and applied topics will be covered. Central Limit Theorem, maximum likelihood estimation, method-of-moments, properties of estimators; sufficiency, consistency, efficiency, hypothesis testing and linear models by least squares. Students should gain an understanding of making statistical inference based on point estimation, hypotheses testing and least square methods.

Course Outline:
Sampling Distributions and CLT
Statistical Estimation
Properties of Estimators
Statistical Hypotheses Testing
Linear Models and Least Square Estimation

Calendar of Events:
Jan. 8th, 2019 (Tuesday): First day of classes
Feb. 21st, 2019 (Thursday): Midterm Exam I
Mar. 11, 2019? (Monday): Drop/Revision Deadline?
Mar. 26, 2019 (Thursday): Midterm Exam II
Apr. 18, 2019 (Thursday): R project due
Apr. 25, 2019 (Thursday): Last day of our class
Apr 30, 2019 (Tuesday), 1:00pm-4:00pm: Final exam

Communication: Students are expected to check their NCSU email regularly. Students who do not use their NCSU email should arrange to have this email forwarded to an account they do use. Due to university regulations the instructor can send course announcements only to NCSU email addresses.

Anonymous mail: If you wish to send me an anonymous suggestion or reminder, click here. The system will remove mail headers, but you must remember to remove your signature and other identifying information.

Online Class Evaluation: Online class evaluations will be available for students to complete during the last two weeks of class (April 15 - 26, 2019). All evaluations are confidential; instructors will never know how any one student responded to any question, and students will never know the ratings for any particular instructors.
Click ClassEval for further information.

Last updated on: November 05, 2018