ASSIGNMENT # 6
Due Thursday, March 21st. Data available on Niihka.
1.
Use the data from Problem 4-33 on page 160 in the text to answer the questions below. This data
can be found in Niihka. Use SAS as
The GLM Procedure
11:18 Thursday, October 31, 2013 1
The SAS System
Class Level Information
Class
Levels Values
position
2 12
temperature
3 800 825 850
Number of Observations Read
18
Number of Observa
The GLM Procedure
11:18 Thursday, October 31, 2013 1
The SAS System
Class Level Information
Class
part
inspector
Levels Values
10 1 2 3 4 5 6 7 8 9 10
3 123
Number of Observations Read
90
Number of Ob
ASSIGNMENT # 10
Due on Friday, April 19. Data is on Niihka.
1.
Problem 13-1 on page 538 in the text. Do all parts as listed. In part e we are looking at the same
things we usually do, constant varianc
The GLM Procedure
11:17 Thursday, October 31, 2013 1
The SAS System
Class Level Information
Class
Levels Values
distance
4 4 6 8 10
subject
5 12345
Number of Observations Read
20
Number of Observation
The GLM Procedure
11:16 Thursday, October 31, 2013 1
The SAS System
Class Level Information
Class
Levels Values
5 12345
loom
Number of Observations Read
25
Number of Observations Used
25
The GLM Proce
The GLM Procedure
11:16 Thursday, October 31, 2013 1
The SAS System
Class Level Information
Class
Levels Values
3 123
oven
Number of Observations Read
15
Number of Observations Used
15
The GLM Procedu
The GLM Procedure
11:16 Thursday, October 31, 2013 1
The SAS System
Class Level Information
Class
Levels Values
formulation
2 NEW ORG
washing
2 12
booster
2 NO YES
Number of Observations Read
16
Numbe
The GLM Procedure
11:16 Thursday, October 31, 2013 1
The SAS System
Class Level Information
Class
Levels Values
factorA
3 123
factorB
2 12
factorC
2 12
Number of Observations Read
48
Number of Observa
The GLM Procedure
11:16 Thursday, October 31, 2013 1
The SAS System
Class Level Information
Class
Levels Values
factorA
2 12
factorB
3 123
factorC
2 12
Number of Observations Read
60
Number of Observa
The GLM Procedure
11:15 Thursday, October 31, 2013 1
The SAS System
Class Level Information
Class
Levels Values
factorA
2 12
factorB
2 12
factorC
2 12
Number of Observations Read
24
Number of Observat
Zhifei Jing (Jeffy)
STA 566 Homework 7
Q1
Source
DF
Sum of Mean Square F Value Pr > F
Squares
Model
8 1.13777778
0.14222222
Error
9 0.16000000
0.01777778
Corrected Total
Source
8.00
0.0026
17 1.297777
Zhifei Jing (Jeffy)
STA 566 Homework 6
Q1
a)
Sour
ce
D
F
Type III
SS
Mean
Square
F
Value
Pr >
F
add
4
35.73333
333
8.93333333
9.81
0.00
12
car
4
35.23333
333
8.80833333
9.67
0.00
13
Constant variance