Spring 2015
Stat5204: Study Guide for Midterm1
Chapter 1
Sections 1.1-1.2.
Section 1.3 (pay attention on three fundamental principles)
Sections 1.4-1.5
Section 1.6 (pay attention on the inference, pages 24-26)
Section 1.7 (know the key concepts of adjuste
Stat5204: Homework 4
(Due on March 31th, 2015)
1. Problem 4 in Chapter 4 (need the proof).
2. Problem 10(a)-(b) in Chapter 4.
3. Problem 11 in Chapter 4 (for IER, using the rst table in Appendix H).
4. Problem 16 in Chapter 4.
5. Problem 20 in Chapter 4.
Stat5204: Homework 2
(Due on February 19th, 2015)
1. Problem 4 in Chapter 2.
2. Problem 11 in Chapter 2.
3. Problem 14 in Chapter 2.
4. Problem 17 in Chapter 2.
1
4. Identify a real life situation (industrial= social, or even something associ
ated with your daily life), where you may need to conduct an experiment
to satisfy any of the ve objectives stated in Section 1.1. Among the seven
steps necessary to conduct a
Second Midterm Examination April
(
)
, 201
Name :
Problem
Max Points
Your score
1
8
2
12
3
17
4
13
Total
50
Problem 1 (8 pts)
(a) (4 pts) Dene the maximum resolution criterion and the minimum aberration criterion for
2-level fractional factorial designs.
Stat 5204, Spring 2015
First Midterm Examination (Sample)
March 5th, 2015
Name :
Problem
Max Points
Your score
1
10
2
10
3
10
4
10
5
10
Total
50
Problem 1
The Kenton Company wished to test 4 different package designs for a new breakfast cereal.
Twenty sto
Spring 2015
Stat5204: Study Guide for Midterm2
Chapter 3
Section 3.9 (concept of split-plot design, degrees of freedom of the effects)
Section 3.11(understand the key concept and how equation (3.84) coming out)
Chapter 4
Section 4.1-4.4
Section 4.6 and Se
Stat 5204: Experimental Design and
Analysis
Xinwei Deng
xdeng@vt.edu
Department of Statistics
1
Unit 5: Fractional Factorial Experiments
at Two Levels
Leaf Spring Experiment (Section 5.1)
Effect aliasing, resolution, minimum aberration criteria
(Section
Stat 5204: Experimental Design and
Analysis
Xinwei Deng
xdeng@vt.edu
Department of Statistics
1
Unit 3: Experiments with More Than
One Factor
Paired comparison design (Section 3.1)
Randomized block design (Section 3.2)
Two-way and multi-way layout (Sec
Stat 5204: Experimental Design and
Analysis
Xinwei Deng
xdeng@vt.edu
Department of Statistics
1
Unit 0: Syllabus and Course Logistics
Syllabus
Course website:
https:/scholar.vt.edu/portal/site/stat5204_s15
Course logistics
Text book : Experiments : Pla
Stat 5204: Experimental Design and
Analysis
Xinwei Deng
xdeng@vt.edu
Department of Statistics
1
Unit 4: Full Factorial Experiments
at Two Levels
An Epitaxial Layer Growth Experiment (Section 4.1).
Key concepts for 2k designs (Section 4.2-4.3).
Using Re
1
2
3
4
y
y
+ .
59.8, 59.8, 60.3, 60.5
5
F
k
N k
6
7
8
9
10
qk
11
y
x
12
13
14
15
16
y
whole
interval
x
17
18
19
20
21
ri
22
23
24
25
26
27
28
i
population
fixed
specific
random
29
30
31
32
33
ni n
34
35
36
Thank you!
37
Stat5204: Homework 5
(Due on April 16th, 2015)
1. Problem 14 in Chapter 5.
2. Problem 16 in Chapter 5.
3. Problem 17 in Chapter 5.
4. Problem 25 in Chapter 5.
5. Problem 28(a)-(d) in Chapter 5.
1