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I may be severely chastised by the statisticians on the list but one
solution would be a multiple range test. In these, the mean and standard
deviation are calculated for each group. The means are ranked and compared.
Means that are not significantly different are assigned to a group and the
set of means is then displayed in one or more groups. In your case, noodles
a and b are in a group which is different from noodle c. This is sort of the
first year stats solution. In later years, they tell you what is wrong with
this approach. Here is the code.
Nat Wooding
Data noodles;
infile cards missover;
input Noodle $1. Strength;
if strength;
cards;
A 5.576
A 5.642
A 5.691
A 5.84
A 6.516
A 5.807
A 6.104
A 5.774
A 6.417
A 5.922
A 5.609
A 5.625
A 5.658
A 6.648
A 5.757
A 5.675
A 5.691
A 5.708
A 5.493
A 6.038
A 5.757
A 6.219
A 6.896
A 6.087
A 6.318
A 5.147
A 5.163
A 5.493
A 5.873
A 6.071
B 5.427
B 5.774
B 6.813
B 5.724
B 5.147
B 5.658
B 5.427
B 5.543
B 6.318
B 5.972
B 5.13
B 5.196
B 5.708
B 5.774
B 5.972
B 5.312
B 4.833
B 5.592
B 5.361
B 5.856
B 5.889
B 5.741
B 6.285
B 5.873
B 6.219
B 5.064
B 5.642
B 6.83
B 5.988
B 5.51
C 5.345
C 5.939
C 6.302
C 6.153
C 5.526
C 5.51
C 5.477
C 5.246
C 5.988
C 5.444
C 5.559
C 5.741
C 5.114
C 5.262
C 5.18
C 4.585
C 5.477
C 4.882
C 5.279
C 5.774
C 5.427
C 5.048
C 5.295
C 4.949
C 5.18
C 5.031
C 5.658
C 5.328
C 5.031
C 5.147
;
proc anova;class noodle;
model strength = noodle;
means noodle / tukey;
run;
-----Original Message-----
From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of Han
Chen
Sent: Thursday, October 06, 2011 3:05 PM
To: SAS-L@LISTSERV.UGA.EDU
Subject: Re: Compare the Strength for Three Kinds of Noodle
Dear Lister
There are three kind of noodles which have different strength as below.
Could you show me how to use SAS to test the whether the three kinds of
noodle is different in strength significantly ?
Any suggestion would be greatly appreciated
Thanks
------------------------------------------------------
Noodle Strength
A 5.576
A 5.642
A 5.691
A 5.84
A 6.516
A 5.807
A 6.104
A 5.774
A 6.417
A 5.922
A 5.609
A 5.625
A 5.658
A 6.648
A 5.757
A 5.675
A 5.691
A 5.708
A 5.493
A 6.038
A 5.757
A 6.219
A 6.896
A 6.087
A 6.318
A 5.147
A 5.163
A 5.493
A 5.873
A 6.071
B 5.427
B 5.774
B 6.813
B 5.724
B 5.147
B 5.658
B 5.427
B 5.543
B 6.318
B 5.972
B 5.13
B 5.196
B 5.708
B 5.774
B 5.972
B 5.312
B 4.833
B 5.592
B 5.361
B 5.856
B 5.889
B 5.741
B 6.285
B 5.873
B 6.219
B 5.064
B 5.642
B 6.83
B 5.988
B 5.51
C 5.345
C 5.939
C 6.302
C 6.153
C 5.526
C 5.51
C 5.477
C 5.246
C 5.988
C 5.444
C 5.559
C 5.741
C 5.114
C 5.262
C 5.18
C 4.585
C 5.477
C 4.882
C 5.279
C 5.774
C 5.427
C 5.048
C 5.295
C 4.949
C 5.18
C 5.031
C 5.658
C 5.328
C 5.031
C 5.147
*Han Chen*
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