UNLV Department of Mathematical Sciences

STAT 412 Statistical Methods II

Teaching & Class Materials

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

Undergraduate Program (BA, BS)

Related Course:  [STAT411]   [STAT467]

I. Outline of the Course

 

Instructor: Hokwon A. Cho, Ph.D., Associate Professor, Office: CDC 1008 (Building #10, Room 1008), Office phone: 895-0393 (Math. Sci. dept. office: 895-3567), E-mail: cho@unlv.nevada.edu.

Class Time and Location: Mon. & Wed., 2:30PM-3:45PM, CBC C-321.

Office Hours: Mon., & Wed., 1PM-2PM and Wed., 11AM-12PM; 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 411-412 Statistical Methods I & II, which is a calculus-based 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, non-linear regression.

2.       Design and analysis of experiments: one-way ANOVA, two-way ANOVA, multiple comparisons, completely randomized design, randomized block design, factorial experiments.

3.       Non-parametric statistics: non-parametric inference, non-parametric methods of testing.

4.       Statistical quality control: control charts (X-bar Charts, R-Charts), 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 C-321.  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/minitab-15) 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 mid-semester 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, 3:10PM-5:10PM, CBC C-321 (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.

11.37 (OP & Mice data)

 

 

 

 

 

o    Statistical Software & Language:  | R | S-Plus | 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 BulletinSIAM | AMS | MAA |                    è More Link?

 

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© 2006-2016  Hokwon Cho.