UNLV  Department of Mathematical Sciences

STA 411 – Statistical Methods I

· Teaching & Class Materials

 

Welcome to the course homepage for STA411, section 01. If you are a student in this class you should check this site frequently for updated information.    è Course syllabus

· Undergraduate Program (BA, BS)

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I. Outline of the Course

 

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

Class Time and Location: MW 4:00 pm - 5:15 pm, CBC C-128.

Office Hours: MW 2:00 pm-3:30 pm, R 3:30 pm-5:30 pm, or by appointment, or by appointment.

Textbook: Probability & Statistics for Engineers & Scientists, by Walpole, Myers, Myers and Ye. 8th Ed., Prentice Hall.

Scope of Course:

This is a calculus-based probability and statistics course for (upper level) engineering and science majors. The main goal of this course is to provide various statistical methodologies and their applications in data analysis. We will explore Chapter 1 through Chapter 10 in the text at minimum and some selected topics from chapters 11- 12 if time permitted. Among topics to be covered will be

 

1.       Data, Graphical Descriptive Techniques - Measures of central Tendency and dispersion; numerical measures of relative standing; box plots, outliers, scatter-plots.

2.       Introduction to probability - Sample spaces, events, probability rules; conditional probability, independent events. Bayes theorem.

3.       Random variables and their distributions - Discrete random variables; probability distributions, binomial and Poisson distributions, continuous probability distributions, Normal and exponential distributions, Joint probability distributions, Expectations of random variables.

4.       Sampling distributions - Sampling, law of large numbers, central limit theorem.

5.       Estimation - Point estimation, desirable properties, confidence interval for a population mean and a population proportion; sample size determination.

6.       Testing Statistical Hypotheses - test of hypothesis about a population mean: z-test; t-test, p-value; test of hypothesis about a population proportion, comparing two population means: independent sampling and paired t-test

 

Homework, Quiz & Worksheet: There will be weekly homework assignments given in class and expected to complete them by the following week. Some of them will be collected for credit. Quizzes/worksheet will be given for credit and practice. Late submission will not be accepted unless arranged with the instructor in advance.

 

Grading: The course grade (letter) is based on the following components: 

        Homework & assignments - 20%, Two tests (in class) - 25% each, Final Exam - 30%.

     

Exams: There will be two tests and a final examination. Two tests are most likely on 6th and 11th week. Final exam is scheduled on Monday, May 4 from 6:00 pm to 8:00 pm in the classroom.  No makeup tests will be given except for documented medical reasons or prior permission from the instructor.

 

II. Lecture & Homework Assignments

 

To see the lecture and homework schedule: click next è Lecture & HW schedule

 

·         Homework Solutions:  Chap 4  Chap 5   Chap 6  Chap 8  Chap 9** Chap 10**

·         Worksheets & Sols :   WS #4  WS #5  WS #6**  WS Sol#6**  WS Sol#7**

·         Quizzes, Tests & Sols :  Practice Quiz #2  Test2 Sol(A)  Test2 Sol(B)

* new/updated

The followings are summaries/slides (ppt) of the lectures given in the class.

 

·         Lecture Notes: Chap 6  Chap 8  Ch 9 Slides  Chap 9** Chap 10**  Ch 10-Chisquare**

 

III. Bulletin Board

Last updated: 11am Friday May 1

1.       Final Exam is schedule to be 6:00pm-8:00pm on Mon. May 4.

Final Exam Week Office Hours (4/30-5/6): Mon-Fri. 10am-12pm, 2pm-4pm.

Feel free to stop by if you have any questions. I am taking an open door policy.

2.       Focus on Sec. 3.4, Chaps 4-6 (RVs and Distributions), Chaps 8-10 (Sampling & Inferences).

-            This weekend is the best time to study and prepare the Final Exam!

-            Review problems in Homework, Worksheets, and Two Tests.

3.       Chapters 9 & 10 Lecture Notes (revised) keep posting.

4.       The solutions for Worksheet #6 and #7 are posted.

 

IV. Handouts & Resources

 

·         Tables:  (1) Probability Distributions (2) C.I. and Testing Hypothesis

·         Errata in the textbook (8th Edition)

 

 

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