UNLV Department of Mathematical Sciences 

STAT 412 Statistical Methods II 

Welcome to the course homepage for STAT 412. If
you are a student in this class you should check this site frequently for
updated or new information. è 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: Mon. & Wed., 2:30PM3:45PM,
CBC C321. Office
Hours: Mon., & Wed., 1PM2PM
and Wed., 11AM12PM; or by
appointment. Teaching
Assistant: Not assigned. Discussion Session: N/A. Textbook: Probability
& Statistics for Engineers & Scientists, by Walpole, Myers, Myers
and Ye. 9th Ed., Prentice Hall. Scope of
Course: This course is the second part of STAT
411412 Statistical
Methods I & II, which is a
calculusbased sequence of probability and statistics course for the
undergraduate upper division.
The main goal of this course is to provide various statistical methodologies
and their applications below in data analysis using statistical software
packages. We will explore Chapter 11 through Chapter 17 in the text at
minimum and some selected topics from chapter 18 if time permitted. Among
topics to be covered will be 1.
Regression analysis:
simple
linear regression, least square estimates, confidence intervals, hypothesis
testing, transformations, multiple regression, matrix approach, testing
models, models selection,
categorical variables, nonlinear regression. 2.
Design and analysis of experiments:
oneway
ANOVA, twoway ANOVA, multiple comparisons, completely randomized design, randomized block design, factorial
experiments. 3.
Nonparametric statistics:
nonparametric inference, nonparametric methods of testing. 4.
Statistical quality control: control charts (Xbar Charts, RCharts), CUSUM. Computer
Software: Two statistical software packages will
be used in this class, which are R and Minitab. Both are installed on all machines in
CBC C321. R is a free software
environment for statistical computing and graphics, and Minitab is also a
handy statistical package that available in several places (link: https://oit.unlv.edu/software/minitab15)
in the campus. Also, see below links and resources. Homework,
Quiz & Worksheet: Homework
assignments (weekly) due each Wednesday in class at the beginning of the
class. You may discuss HW
problems with your classmates, but what you hand in must be your own
work. Late homework will be
acknowledged, but not graded for credit. Exams: There will be two midterm exams most likely on 6th and 11th
week. The final exam is scheduled according to the university calendars and schedules.
Grading: The course grade is
based upon the following: (1) Homework assignments = 20% (2) Two midsemester
exams = 25% each, and (3) Final exam = 30%. 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. Bulletin Board 

Last
updated: 2:00 PM THU. Apr. 28, 2016 All
exams/quizzes are closed book and notes. 1.
Final Exam schedule: Wed. May 11,
3:10PM5:10PM, CBC C321 (classroom). 
An email for guidelines and topics will be sent out soon. 
The exam will be
comprehensive, 2.
HW #7 (Chap. 17, SQC)
due Mon. May 2, in class. 

III. Handouts, Data Sets &
Other Resources 

Statistical
Tables (Handout): § [Tables for Discrete & Continuous Probability Distributions] § [Tables for
Confidence Intervals & Testing Hypotheses] Data Sets: You can download all data sets used in the text from
the textbook website.


o Statistical Software & Language:  R  SPlus  Minitab
 SAS/JMP  SPSS  STATA  BMDP
 o Search Journal Articles on Web: 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? 

© 20062016 Hokwon Cho. 