UNLV Department of Mathematical Sciences 

STAT 467/667 Introduction
to Mathematical Statistics I 

Welcome to the course homepage for STAT 467/667.
If you are a student in this class you should check this site frequently for
updated or new information. [Course Syllabus] 

I. Outline of the Course 

Instructor: Hokwon A. Cho, Ph.D.,
Associate Professor, Office: CDC 1008 (Building #10,
Room 1008), Office phone: 8950393 (Math. Sci. dept. office: 8953567),
Email: cho@unlv.nevada.edu. Class Time
and Location: Tue. & Thu..,
10:00AM  11:15AM, CBC C321. Office
Hours: Tue. & Thu.: 1:30PM  3:30PM or
by appointment. Textbook: Mathematical
Statistics with Applications, 7^{th} Ed., by Wackerly,
Mendenhall and Scheaffer. Duxbury. Prerequisites: STAT 411 (grade C or better) or equivalent
courses. Scope
of Course: This course is the first course in a twosemester
sequence on probability and statistics in upper division/senior level. It
aims to introduce mathematical foundations and infrastructures in statistics
at the intermediate level. Thus, mathematical concepts and methods,
statistical rationale and derivations will be explored focusing on the
probability and introductory level of measure theory. In chronological order,
the topics (subject to minor changes) to be covered are: 1. Probability Theory
 Set
theory, limit of a sequence of sets, sample space and events, independence,
probability inequalities, and basic topology. 2. Discrete random variables and their probability distributions: Expected value of RV, Binomial,
Geometric, Negative Binomial, Hypergeometric, Poisson,
moment generating functions, Tchebysheff's theorem 3. Continuous random variables and their probability distributions: Uniform, Normal, Gamma, exponential, Beta
probability distribution, moment generating
functions, Tchebysheff's theorem. 4. Random Variables and Joint Distribution

Discrete random variables, continuous random variables, and their probability
distributions, expectations, moment and moment generating functions, and
other generating functions. 5. Multivariate Probability Distributions  Random vector, bivariate
distribution, covariance, correlation, independence, bivariate normal
distribution, and conditional expectation. 6. Functions of Random Variables  Method of distribution functions, method of transformations,
MGF method, multivariable transformation, and order statistics. Homework,
Quiz & Worksheet: All homework
assignments will be given in class and expected to turn in on time. No late
homework will be accepted. Some of the problems will be discussed in class.
Graduate (including postbachelorette) students will be assigned
additional/extra problems on each assignment and mandatory to complete, which
are optional for the undergraduates for extra credit. Exams: There will be two tests and a final examination. Two
tests are most likely on 6th and 11th week. Final exam is scheduled according
to the university
academic calendars and schedules. No makeup tests will be given except
for documented medical reasons or prior permission/arrangement from the
instructor. Grading: The course grade is based upon the following: (1)
homework assignments = 20% (2) two midsemester exams = 25%
each, and (3) a final exam = 30%.
Grade Scale: AA⁻: 85% or above, B⁺B: 75% or above, C⁺C: 65% or above, D⁺D: 55% or above, F: Below 55%. University
Academic Policies on the Academic
Misconduct, Copyright, Disability Resources Center (DRC), Tutoring, Writing
Center, and Religious Holidays: click the next è University
Academic Policies. 

II. Lecture & Homework Schedules 

A
lecture schedule detailing which topics will be covered on which weeks is
available on the course webpage. The schedule may vary from it, depending on
time constraints. Any changes will be noted on the class website. To see more
details, click next è Lecture & HW
schedule. For your practice (selected problems) and
preparation for tests ·
Homework Solutions: Chap 1 ·
Worksheets, Quizzes & etc.: Proof of
Binomial Theorem 

III. Bulletin Board 

Last updated: TUE., 1:00 PM , Aug. 28, 2017 All
Exams/Quizzes are closed book and
notes. Announcements: 1.
Welcome
to STAT 467/STA 667. 

IV. Handouts & Resources 

Statistical
Tables: § [Tables for Discrete & Continuous Probability
Distributions] Data Sets:


o Statistical Software & Language:  R  SPlus  Minitab
 SAS/JMP  SPSS  STATA  BMDP
 o Search Journal Articles:
JSTOR  MathSciNet  Ingenta  CIS  Thomson  Wikipedia  Ø Journals:  Statistics  Probability  Related Journals  Mathematics
 Ø Societies:  IMS  ASA  IMS Bulletin  SIAM  AMS  MAA 
è More Link? 

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© 20062018 Hokwon Cho. 