Good Good Father
Oh Ive heard a thousand stories of what they think youre like
But Ive heard the tender whisper of love in the dead of night
And you tell me that youre pleased and that Im never alone
Youre a good good father, its who you are, its who are,
13.10
Table 13.18
451
Comparing the Multireplicate Designs
Partial confounding of ABC , AB, AC , BC contrasts in a design
with 14 blocks of size 4 for 3 factors at two levels each
Replicates
IIV
Confounded
ABC
Blocks
I, III, V, VII
II, IV, VI, VIII
Treatm
450
Chapter 13
Confounded Two-Level Factorial Experiments
ij k is in block h, and otherwise nhij k is 0. The variance of the least squares estimator is
Var
i
j
k
cij k ij k
k
v
2
cij k 2
i
j
k
8 2
,
6
(13.10.3)
and this is the same for all main-effect and
13.10
Table 13.16
Analysis of variance for the coil experiment
Source of
Variation
Blocks (adj)
Blocks (unadj)
A
B
C
AB (adj)
AC (adj)
BC (adj)
ABC (adj)
Error
Total
Table 13.17
Degrees of
Freedom
7
7
1
1
1
1
1
1
1
17
31
Sum of
Squares
303,414.14
439,777.
448
Chapter 13
Confounded Two-Level Factorial Experiments
Equivalently, in terms of the treatment combinations the contrast is
where the coefcients cij k in standard order are given by
1
[1,
4
i
j
k cij k ij k ,
1, 1, 1, 1, 1, 1, 1 ] .
with least squares
13.9
Table 13.15
447
Partial Confounding
Design and data (in parentheses) for the coil experiment
Confounded
ABC
Block
I
II
Treatment Combination (Response)
000 (2208) 110 (2133) 101 (2459) 011 (3096)
100 (2196) 010 (2086) 001 (3356) 111 (2776)
AB
III
IV
446
Chapter 13
Confounded Two-Level Factorial Experiments
Thus, the results of the analysis of variance table suggest that suitable treatment combinations for the decontamination process are 0110 or 1110. These are the same two treatment
combinations that
13.8
Table 13.14
Analysis of variance for the decontamination experiment
Source of
Variation
Blocks
A
B
C
D
AB
AC
AD
BC
BD
CD
ABC
ABD
ACD
BCD
Error
Total
Degrees of
Freedom
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
14
31
Sum of
Squares
28262.500
297992.000
1444150.12
100
Exercises
(d) Which method would be the best if all pairwise differences are required? Calculate
a set of simultaneous 99% condence intervals for all of the pairwise differences.
Why are the intervals longer than those in part (c)?
8. Trout experiment
98
Exercises
For the cotton-spinning experiment of Section 2.3, page 14, identify any contrasts or
functions that you think might be interesting to estimate. For any contrasts that you
have selected, list the corresponding contrast coefcients.
3. Pedestri
13.8
Table 13.13
443
Complete Confounding: Repeated Single-Replicate Designs
Repeated single-replicate design for a 24 experiment in 2 2 blocks of
size 8, confounding ABCD. Data for the decontamination alpha-particle
experiment are shown in parentheses.
B
452
Chapter 13
13.11
Confounded Two-Level Factorial Experiments
Using SAS Software
Analyzing factorial experiments with confounding using the SAS software is straightforward
for the types of designs discussed in this chapter. The SAS statements required f
13.11
Table 13.21
453
Using SAS Software
SAS program partial output illustrating partial confoundingthe coil experiment
The SAS System
General Linear Models Procedure
Dependent Variable: Y
Source
Model
Error
Corrected Total
DF
14
17
31
Sum of
Squares
8041
Set A Fire
No place I would rather be
No place I would rather be
No place I would rather be
Than here in your love, here in your love
[repeat verse]
Set a fire down in my soul, that I cant contain and I cant control
I want more of you God, I want more of
It Is Well
When peace like a river attendeth my way
When sorrows like sea billows roll
Whatever my lot thou hast taught me to say
It is well it is well with my soul
It is well (it is well)
With my soul (with my soul)
It is well, it is well with my soul
My
Amazing Love (E) (63bpm) (4/4)
Im forgiven because you were forsaken
Im accepted you were condemned
Im alive and well your Spirit is within me
Because you died and rose again
Amazing Love how can it be
That you my King would die for me
Amazing Love I know
Problem Solutions
1
Problem Solutions
08/29/2016
Professor Dannielle Lombard-Sims
University of Phoenix/PHL 320
Problem Solutions
2
Identify two potential solutions.
Organizations facing restructuring and downsizing often default to staff layoffs that are
The Planning Process
1
The Planning Process
Amelia Baez
08/21/2016
Professor DANIELLE LOMBARD-SIMS/ University of Phoenix
The Planning Process
2
For this assignment, I got the opportunity to interview some high school classmates who are
now managers at a
Ethics and Social Responsibility
1
Ethics and Social Responsibility
Amelia Baez
Professor Danielle Lombard-Sims/University of Phoenix
Ethics and Social Responsibility
2
The current company I am working for had made the decision on going paperless this is
Project: Part 2
1
Project: Part 2
10/03/2016
Gween Don/University of Phoenix
Project: Part 2
2
The problem is finding security software to protect customer's information as the company is
working on going paperless. To provide the board with visual forms
Business Decision
Making
By Amelia Baez
Agenda
Brief description
Business problem
Analyze
Identify variable
Data analysis techniques
Agenda cont.
Possible solution
Evaluate
Conclusion
Internal Revenue Service(IRS)
Business Problem/ Opportunity
Why it is i
Mini Project: Statistician
1
Mini Project: Statistician
9/19/16
Gwenn Grondal/University of Phoenix
Mini Project: Statistician
2
Sales Records
2500
2000
1500
1000
500
0
1
2
3
4
A
B
5
C
6
Average
D
In the graph shown above it displays the sales of these fo
Business Statics
1
Business Statics
9/11/2016
Gwen Grondal/University of Phoenix
Business Statics
2
Statistics refers to numerical facts a branch of mathematics concerned with the collection,
classification, analysis, and interpretation of statistical fac
Decision Making Process
1
Decision Making Process
8/27/2016
Professor Danielle Lombard- Sims/University of Phoenix
Decision Making Process
2
The influence the decision-making process had on the decision made was a great deal. A lot of
the higher managemen
97
Exercises
Table 4.5
Tukeys method for the battery experiment, unequal sample sizes
The SAS System
General Linear Models Procedure
Tukeys Studentized Range (HSD) Test for variable: LIFEUC
NOTE: This test controls the type I experimentwise error rate.
Al
80
Chapter 4
Inferences for Contrasts and Treatment Means
4. Dunnett method for treatment-versus-control comparisons
Best for all treatment-versus-control contrasts. Can be used for completely randomized
designs, randomized block designs, and balanced inc
4.4
Methods of Multiple Comparisons
79
are observed. Similarly, if an experimenter calculates ten condence intervals each having
individual condence level 95%, then the simultaneous condence level for the ten intervals
is at least 50%, which is not very i
4.4
83
Methods of Multiple Comparisons
4.4.3
Scheff Method of Multiple Comparisons
e
The main drawbacks of the Bonferroni method of multiple comparisons are that the m
contrasts to be examined must be preplanned and the condence intervals can become very