STAT 515: Statistics I | Department of Mathematics & Statistics |UMass, Amherst

Instructor: Professor Luc Rey-Bellet, LGRT 1423 K, E-mail: luc [at] math umass edu

Lectures: Tuesdays, Thursdays, 1:00PM - 2:15PM, Lederle Grad Res. Ctr. Rm. A201.

Office Hours: Tuesday 3:00pm-4:00pm, Wednesday, 10:00AM-12:00PM or by appointment.

Discussion Sessions:

Monday: Clara Wang, 5:00pm - 7:00pm, LGRT0145

Tuesday: William Howe, 5:00pm - 6:00pm, LGRT0145

Tuesday: Amir Alvandi, 6:00pm - 7:00pm, LGRT0145

Wednesday: Vishal Sarsani, 5:15pm-6:15pm, LGRT0202

Wednesday: William Howe, 6:15pm-7:15pm, LGRT0202

Thursday: Yujian Wu, 4:00pm - 5:00pm, LGRT0171

Textbook

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)

Prerequisites

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 recommended but not required for this course and any ecessary concepts for multiple integration or partial derivatives will be re-introduced in the course as needed.

Homework & Quizzes

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:

(a) online homework on Webwork ((due every Wednesday 9PM EDT-see webwork)), and

(b) written homework (due in class every Thursday).

Written and online homework sets have equal weight in grading, each counting for 10% of the total grade.

The online homework is done using webwork. You can login into your account on Webwork from here. Your user name is the part of your SPIRE username ( UMass email address appearing before the '@ ' symbol and usually your NetID). Your default password is your 8 digit UMass SPIRE ID number. Please make sure you change your password once you login for the first time. Write-up/Print your solutions, and keep them, say in a binder, so that you may easily reference that when you are studying for an exam.

NOTE: I will not accept late homework. One missed homework assignment from each category is allowed. There will be no make up quizzes.

Quizzes are unannounced and will count for 10% of the class grade

Homework Assignments (written) To be updated

Homework 1: Section 2.3 #2.3, 2.5, 2.7,2.8; Section 2.4 # 2.11, 2.12, 2.16, 2.19, 2.23; Section 2.5 # 2.30, 2.33. Due in class Thursday Jan. 30
Homework 2: Section 2.6 # 2.43, 2.61; Section 2.7 #2.75, 2.77, 2.82; Section 2.8 #2.89, 2.93, 2.102; Due Friday, Feb 7th 12 noon (folder on the instructor door LGRT 1423K) or in class on Thursday Feb 6 if you are done.

To get full credit, make sure you justify all your answers, or refer to the appropriate Theorem

Grading

Final Exam 25%, Midterm 1 20%, Midterm 2 20%, Homework&Quizzes 30% (=10% quizzes, 10% written homework , 10% webwork), Attendance 5%.
The final exam will focus on topics covered after the Midterms.
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.

Exams

Midterm 1: Wednesday, March 4, Time & Rm: 7-9PM TBD.
Material for Midterm 1: Chapter 2 and Chapter 3, 3.1-3.8.
Review for Midterm 1: During Help Sessions
Midterm 2: Tuesday, April 7, Time & Rm: 7-9PM, TBD.
Material for Midterm 2: Sections 3.9, 3.11, 4.1-4.10, 5.1 - 5.6. Note that moment generating functions section 4.9 is defered to the final.
Review for Midterm 2: During Help Sessions
Final Exam: Tuesday, May 5, Mahar 108, 1-3PM; See also SPIRE
Material for Final Exam : Sections 5.8-5.10, 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).
Review for Final: During Help Sessions
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.

Course policies

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.

Class Material by Section

Chapter 2: All sections.
Chapter 3: 3.1 - 3.9, 3.11+additional material on Probabilistic Inequalities(material provided)
Chapter 4: 4.1-4 .10
Chapter 5: 5.1 - 5.8, 5.10 and 5.11
Chapter 6: 6.1, 6.2, 6.4+Example 6.5, 6.5
Chapter 7: 7.1, 7.2 (only Theorems 7.1-2), 7.3, 7.4 (optional), 7.5

Weekly Schedule

Week 1: Review syllabus, 2.1-2.5 Introduction, set theory, axioms of probability
Week 2: 2.6-2.9, Probability and counting, laws of probability I
Week 3: 2.10-2.12, 3.1, 3.2, laws of probability II, random variables
Week 4: 3.3-3.7, discrete random variables I
Week 5: 3.8, 3.9, 3.11, discrete random variable II, moment generating function, Chebyshev’s inequality, review for midterm I
Week 6, No Tuesday class, Midterm I on Wednesday, 4.1, 4.2, continuous random variables
Week 7, 4.3-4.7, continuous distributions
Week 8, 4.8-4.10, 5.1, 5.2, moment generating function and Chebyshev’s inequality for continuous random variables, multivariate random variables.
Week 9, 5.3-5.6, marginal and conditional distribution, independence
Week 10, 5.7-5.9, 5.11, covariance, sum of random variables, conditional expectation
Week 11, Midterm II on Wednesday, Review for Midterm II, 6.1, 6.2, 6.3, functions of random variables I
Week 12, 6.4-6.5, 7.1, functions of random variables II, sampling
Week 13, 7.2, 7.3, 7.5, central limit theorem and sampling
Week 14, Review for Final

Old exams

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.

Here is a link to the Fall 2015 Midterm 1.

Here is a link to the Spring 2016 Midterm 1.

Here is a link to the Fall 2016 Midterm 1. (in draft form)

Here is a link to the Spring 2017 Midterm 1.

Here is a link to the Spring 2016 Midterm 2.

Here is a link to the Fall 2016 Midterm 2.

Here is a link to the Spring 2017 Midterm 2.

Here is a link to the Fall 2015 Final.

Here is a link to the Spring 2016 Final.

Here is a link to the Fall 2016 Final.

Here is a link to the Spring 2017 Final.

Here are two quizzes from Fall 2015, which some students took instead of a Midterm 2 that semester. Quiz , Another Quiz .

STAT 515: Statistics I, Section 4

Spring Semester 2020