NATIONAL CHIAO TUNG UNIVERSITY
INSTITUTE OF STATISTICS
STATISTICS
FALL
2004
Instructor: 
GuanHua Huang, Ph.D. 

Office: 423 Assembly Building 1 

Phone: 035131334 

Email: ghuang@stat.nctu.edu.tw 
Class meetings: 
Wednesday 
Office hours: 
By appointment 
Class website: 
http://www.stat.nctu.edu.tw/subhtml/source/teachers/ghuang/course/statistics04/ 
Credit: 
Three (3) credits 
The objectives of this course are to
·
Introduce the basic concepts and
methods of statistics with applications in engineering;
·
Demonstrate methods of exploring,
organizing and presenting data;
·
Introduce the fundamentals of
probability;
·
Present the foundations of
statistical inference, including the concepts of parameters and estimates and
the use of confidence intervals, and hypothesis tests.
Computer software EXCEL will be Introduced and implemented
to explore
and analyze data.
The
course consists of lectures and laboratory sessions. The lectures are given on Wednesday
mornings. The lectures will primarily review and
reinforce major issues. There is a laboratory session on Friday afternoon. The laboratory
exercise will be distributed prior to each class, and students are expected to
read each lab exercise at home. Each student will be assigned to a lab group
and discuss the exercise with group members in the lab. At the end of the lab,
there will be a seminartype discussion. Each group is required to hand in a
writeup of laboratory problems.
Handouts corresponding to each lecture will be
available on the class website before each class. The required textbooks for this course are
Montgomery,
D. C., Runger, G. C., and Hubele, N. F. (2004). Engineering
Statistics (3rd Edition), Wiley,
王文中 (2004).統計學與EXCEL資料分析之實習應用<第五版>, 博碩文化.
The course will follow the
content of the first book. The second book is the reference of EXCEL.
It
is assumed students have had calculus and are familiar with matrix and linear
algebra. The course does not assume any prior knowledge of statistics
or probability.
The
course grade will be based on homeworks (25%), writeups of lab problems (20%),
one midterm exam (25%), and one final exam (30%). The midterm exam will be held
on November 10 (
COURSE OUTLINE
Montgomery,
D. C., Runger, G. C., and Hubele, N. F. (2004), Engineering Statistics (3rd Edition), Wiley,
Module 
Topic 

1 
What is statistics? 
Chapter 1 
2 
Data summary and
presentation: a.
Mean,
variance b.
Stemandleaf
diagram c.
Histogram d.
Box
plot e.
Multivariate
data 
Chapter 2 a.
21 b.
22 c.
23 d.
24 e.
26 
3 
Random variables and
probability distributions: a.
Random
variables and probability b.
Continuous
random variables c.
Discrete
random variables d.
Joint
distribution and independence e.
Functions
of random variables and Central Limit Theorem 
Chapter 3 a.
31,
32, 33 b.
34,
35, 36 c.
37,
38, 39, 310 d.
311 e.
312,
313 
4 
Decision making for a
single sample: a.
Point
estimation b.
Hypothesis
testing c.
Hypothesis
testing on mean when variance known d.
Hypothesis
testing on mean when variance unknown e.
Hypothesis
testing on proportion 
Chapter 4 a. 41, 42 b. 43 c. 44 d. 45 e. 47, 49 
5 
Decision making for two
samples: a.
Inference
on two means when variances known b.
Inference
on two means when variances unknown c.
Inference
on correlated data (paired ttest) d.
Inference
on two proportions 
Chapter
5 a.
51,
52 b.
53 c.
54 d.
56,
57 
6 
Linear models a.
Simple
linear regression b.
Multiple
linear regression c.
ANOVA 
Chapter 6 a.
61,
62 b.
63 c.
Chapter
5: 58 