Visiting Assistant Professor
Department of Mathematics and Statistics
Lederle Graduate Research Tower 1030
University of Massachusetts, Amherst
Lectures: Lederle Grad Res. Ctr (LGRC) A201 on Tuesday and Thursday
Section 03: 2:30PM - 3:45PM
Section 04: 1:00PM - 2:15PM
Monday: 4:00pm - 5:00pm, LGRT 147, Jung Wun Lee
Tuesday: 4:00pm - 5:00pm, LGRT 204, Jung Wun Lee
Wednesday: 4:00pm-5:00pm, LGRT 204, Jung Wun Lee
Thursday: 4:00pm - 5:00pm, LGRT 204, Jung Wun Lee
Friday: 4:00pm-5:00pm, LGRT 204, Jung Wun Lee
STAT515 Lecture (will be updated from time to time)
Mathematical Statistics with Applications, Authors: Wackerly, Mendenhall, Schaeffer (ISBN-13: 978-0495110811), Edition: 7th. (This is NOT the international edition-if you are using the international edition, you need to always consult for your homework assignments with the library copies on reserve).
Two semesters of single variable calculus (Math 131-132) or the equivalent, with a grade of "C" or better in Math 132. Math 233 is required for this course. However, some necessary concepts for multiple integration or partial derivatives will be re-introduced in the course as needed.
Final Exam - 25%,   Midterm 1 - 20%,   Midterm 2 - 20%,   Homework - 35%.
Grading scale: A 90-100, A- 87-90, B+ 83-87, B 79-83, B- 75-79, C+ 71-75, C 67-71, C- 63-67, D+ 59-63, D 55-59, F 0-55.
There will be weekly homework. Discussion of homework and practice problems with fellow students is encouraged but you must submit your own work. The weekly homework will be typically of two types:
If you are in Section 03, log in https://webwork.math.umass.edu/webwork2/S19_STAT_515_3/
If you are in Section 04, log in https://webwork.math.umass.edu/webwork2/S19_STAT_515_4/
The default username is your SPIRE username, and the default password is your 8 digit UMass SPIRE ID number. Please change your password on your first login, at the item "Password/Email" on the left panel of webwork interface.
Online HW 1: HowToUseWebwork (optional, would not be counted for online HW grade)
Online HW 2: due Thursday, Feb 21.
Online HW 3: due Thursday, Feb 28.
Online HW 4: due Thursday, Mar 7.
Online HW 5: due Thursday, Mar 28.
Online HW 6: due Monday, April 4.
Online HW 7: due Tuesday, April 9.
Online HW 8: due Thursday, April 18.
Online HW 9 (HW 10 in Webwork): due Thursday, April 25.
Online HW 10 (Review in Webwork): due Thursday, May 2.
Written HW 1 (due Thursday, Jan 31): Exercises 2.3, 2.5, 2.7, 2.8, 2.11, 2.12, 2.16, 2.19, 2.23, 2.30, 2.33
Written HW 2 (due Thursday, Feb 7): Exercises 2.43, 2.61, 2.68, 2.75, 2.77, 2.82, 2.88, 2.95, 2.102, 2.104
Written HW 3 (due Thursday, Feb 21): Exercises 2.72, 2.96, 2.111, 2.115, 2.116, 2.120, 2.121, 2.124, 2.128, 2.133
Written HW 4 (due Thursday, Feb 28): Exercises 3.12, 3.15, 3.19, 3.22, 3.38, 3.41, 3.57, 3.60, 3.70, 3.71
Written HW 5 (due Thursday, March 7): Exercises 3.103, 3.106, 3.118, 3.122, 3.127, 3.128, 3.138, 3.141
Written HW 6 (due Thursday, March 28): Exercises 4.13, 4.16, 4.19, 4.20, 4.25, 4.26, 4.30, 4.51, 4.52, 4.57
Written HW 7 (due Thursday, April 4):
Exercises 4.63(a), 4.64(a), 4.66(a), 4.67, and the six problems in this
In stead of using tables for the probabilities of Normal distributions and Gamma distributions, you could use the following online calculators:       Normal distribution       Gamma distribution
Written HW 8 (due Thursday, April 18): Problems (except Problem 6) in the problem sheet .
Written HW 9 (due Thursday, April 25): Exercises 6.2, 6.10, 6.26, 6.35, and the four problems in this problem sheet .
Written HW 10 (due Tuesday, April 30): Two problems in this problem sheet .
NOTE: I will not accept late homework. Two lowest written homework scores will be dropped.
Midterm 1: Thursday, March 7, 7-9PM. Room: MOR20131.
Material for Midterm 1: Chapter 2 and Chapter 3, 3.1-3.8.
Midterm 1 Solutions
Midterm 2: Wednesday, April 10, 7-9PM. Room: GSMN0064.
Material for Midterm 2: Sections 3.9, 3.11, 4.1-4.10, 5.1 - 5.6. Note that moment generating functions (sections 3.9 and 4.9) are defered to the final.
Midterm 2 Solutions
Final Exam: Tuesday, May 7, 1-3PM, at Boyden Phys. Ed. Gym.
Material for Final Exam : Sections 5.8-5.11, 6.1-6.5, 7.1-7.3, 7.5, however students are expected to know the Moment Generating Functions material from Sections 3.9 and 4.9 (and all worked out examples therein).
NOTE: Make-up exams will only be given in the case of family or medical emergency. Both situations will require official documentation. No make-up exams will be given for any other reason.
If you have a University-approved conflict (see the link in this paragraph) with an exam, you must let your instructor know at least two weeks before the exam. A make-up exam might be scheduled to take place shortly after the regularly scheduled exam. If so, the make-up exam will be different than the original but cover the same material. You will need to fill out the following sheet signed by the Registrar's office, explaining to your instructor why you are entitled to a make-up. Make sure to not book any travel during exams, including the snow-make-up date for the final. Travel is not an excuse to miss the exam. If a last-minute emergency occurs after the two-week deadline, you will need to present to your instructor a note either from your medical provider for medical emergencies or from the Office of the Dean of Students for non-medical emergencies. If a last-minute emergency occurs after the two-week deadline, you will need to present to your instructor a note either from your medical provider for medical emergencies or from the Office of the Dean of Students for non-medical emergencies.
Chapter 2: All sections.
Chapter 3: 3.1 - 3.9, 3.11
Chapter 4: 4.1-4.10
Chapter 5: 5.1 - 5.8, 5.11
Chapter 6: 6.1-6.5
Chapter 7: 7.1 - 7.3, 7.4 (optional), 7.5
Below are various exams, without solutions, from Stats 515 in previous semesters. Note that the format, such as number of problems, varies. This is because the course chair also varies. Moreover, the exams dates are not always at the same point in the semester. So for example, some material on midterm 1 from one class might appear on midterm 2 of another class.