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STA 411 Statistical
Methods I (Summer) |
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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.
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Course
syllabus |
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I. Outline of
the Course |
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Instructor: Hokwon A. Cho, Ph.D., Associate Professor, CBC
B-506, Office phone: 895-0393 (Math. Sci. dept.
office: 895-3567), E-mail: cho@unlv.nevada.edu. Class Time and Location: M-F 2:40 p.m. - 4:10 p.m., CBC C-125. Office Hours: MWF 10:30 a.m.-12:00 p.m., TR 1:30 p.m.-2:30 p.m.,
or by appointment. Textbook: Probability & Statistics for Engineers &
Scientists, by Walpole, Myers, Myers and Ye. 8th Ed., Prentice Hall. Scope of the Course: This is a calculus-based
course in probability and statistics. The main goal of this course is to
provide various statistical methodologies and their applications in data
analysis. We will cover Chapter 1 through 10 in the text at minimum and some
selected topics from chapters 11 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: There will daily homework
assignments and expected to complete them same day. Some of them will be
collected for credit and quizzes will be given among the problems assigned. Grading:
The course grade is based upon the following: (1) Homework or quizzes 20%,
(2) Two tests 25% each (3) Final Exam 30%. Letter grades: A (100-85%), B
(84-75%), C (74-65%), D (64-55%) and F (54% and below). Exams:
Two exams are schedule on Thu. 14th and Tue. 26th in June. The final
exam is scheduled 2:40 p.m to 4:10 p.m on Friday, July 6. |
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II. Lecture & Homework
Assignments |
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To see the (tentative) lecture and homework schedule:
click next - Lecture and Homework schedule ·
Homework Solutions: Chap 6 Chap 8* Chap 9* Chap 10* ·
Worksheets: WS
#4 (Sol) WS
#5 WS
#6* WS
#7* (Sol
#7)* ·
Quizzes:
Quiz #3 (Sol #3) Quiz #4 (Sol #4)*
* new/updated The followings are summaries/slides (ppt) of the lectures given in the class ·
Chap 6 Chap 8 Chap 9 (Slides)* Chi-square Test* |
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III. Handouts &
Worksheets |
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·
Tables for
Probability distributions (discrete RVs and continuous RVs) ·
Tables
for Confidence Interval and Testing hypothesis ·
Errata
in the textbook (8th Edition) |
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Sizzling Summer Surviving
Guide |
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(1)
Don’t be absent –
attend every class. Classroom is cool! (2)
Practice homework
problems right after each class – do the assignments everyday. (3)
Ask for help from
the instructor or others immediately whenever you have questions or stuck. |
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· UNLV |
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Copyright © 2007 Hokwon Cho.
All Rights Reserved. |
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