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Line 4 (ERR) ..... Error
df
value,
SS
value,
MS
value
F
......................
F
value
p
.......................
p
-value
df
..................... degrees of freedom
SS
..................... sum of squares
MS
................... mean squares
With Two-Way ANOVA, you can draw Interaction Plot graphs. The number of graphs depends
on Factor B, while the number of X-axis data depends on the Factor A. The Y-axis is the
average value of each category.
You can use the following graph analysis function after drawing a graph.
•
1
(Trace) or
!1
(TRACE) ... Trace function
Pressing
d
or
e
moves the pointer on the graph in the corresponding direction. When
there are multiple graphs, you can move between graphs by pressing
f
and
c
.
• Graphing is available with Two-Way ANOVA only. V-Window settings are performed
automatically, regardless of Setup screen settings.
• Using the Trace function automatically stores the number of conditions to variable A and the
mean value to variable M, respectively.
k
ANOVA (Two-Way)
u
Description
The nearby table shows measurement results for a metal product produced by a heat
treatment process based on two treatment levels: time (A) and temperature (B). The
experiments were repeated twice each under identical conditions.
Perform analysis of variance on the following null hypothesis, using a significance level of 5%.
H
o
: No change in strength due to time
H
o
: No change in strength due to heat treatment temperature
H
o
: No change in strength due to interaction of time and heat treatment temperature
u
Solution
Use Two-Way ANOVA to test the above hypothesis.
Input the above data as shown below.
List1={1,1,1,1,2,2,2,2}
List2={1,1,2,2,1,1,2,2}
List3={113,116,139,132,133,131,126,122}
B (Heat Treatment Temperature)
B1
B2
A1
113 ,
116
133 ,
131
139 , 132
126 ,
122
A2
A (Time)
B (Heat Treatment Temperature)
B1
B2
A1
113 ,
116
133 ,
131
139 , 132
126 ,
122
A2
A (Time)
Содержание FX-CG10
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