© ISO 2016 Sensory analysis — Methodology — Paired comparison test AMENDMENT 1 Analyse sensorielle — Méthodologie — Essai de comparaison par paires AMENDEMENT 1 INTERNATIONAL STANDARD ISO 5495 Third e[.]
Trang 1Sensory anal ysis — Methodolog y —
An lyse sensorie lle — Méth dolo ie — Essai de comp raison p r
p ire s
T ir d edition
2 0 -1 -1
Reference n mb r
ISO 549 :2 0 /A md.1:2 16(E)
AMENDMENT 1
2 16-0 -1
Trang 2COPYRIGHT PROTECTED DOCUMENT
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The commit e r sp nsible for this document is ISO/TC 34, Fo d products , Subcommit e SC 1 ,
Sens ory a al ys i s
Trang 5Sensory anal ysis — Methodolog y — P aired c omparison test
Pa e 15 , An ex B,B.5.2
R eplac B.5.2with the folowing:
B.5.2 Analy sis and interpretatio of results
In Ex mple 1 (one-sided p ir d t es ), the data we e as folow s:n = 3 , x = 2 , α = 0,0 From these data,
the analy st calculat es
— p
c
= x/n=2 / 0= 0,7,
—
ˆ
p
d
(pro ortion of dis inguishe s) =2p −1 =2×0 7−1=0 4
c
— s
d
( tan ard e ror of p
d
=
ˆ
0 4 1 64 0 1 7 0 1 5
The sensory analy st can the efor be 9 % c rtain that the pro ortion of consume s w ho pe c ive the
prot oty e t o be c ispie than the control is larg er than the pro ortion of consume s w ho pe c ive the
control t o be c ispie than the prot oty e b at leas 1 % This r sult a r es with the conclusion given
in Ex mple1, sinc it shows that the one-sided conf idenc int erv l does not contain the n l v lue
In Ex mple 3 (wo-sided p ir d dife enc t es ), the data we e as fol ow s: n = 44, x = 3 , α = 0,0 It
folow s that
— p
c
= x/n=3 /4 = 0,7 ,
—
ˆ
p
d
(pro ortion of dis inguishe s) =2p −1 =2×0 7 −1=0 45
c
— s
d
( tan ard e ror of p
d
— 9 % uppe conf idenc lmit =
ˆ
p
d + z
/ s
d
= 0,45 +1, 96 × 0,1 4 = 0,7 , an
ˆ
d α 2 d
0 45 1 9 0 1 4 0 1
The sensory analys can the efor be 9 % c rtain that at leas 1 % and at mos 7 % of the
po ulation is ca a le of dis inguishing thesamples Thisr sult concords with the conclusion given in
Ex mple 3, in icating sample A as being saltie , sinc it shows that the conf idenc inte v l does not
contain the n l v lue
In Ex mple 4 ( wo-sided p ir d simi arity t es ), the data we e as folow s: n = 1 0, x = 6 , β = 0,0 an
the c itical p
d
= 3 % In the two-sided case, the v lue of x is chosen t o be the ma imum of the two
choic cou t , r g rdles of w hich sample was chosen mos oft en The calculation the efor gives
— p
c
= x/n=6 / 12 = 0,5 ,
—
ˆ
p
d
(pro ortion of dis inguishe s) =2p −1 =2×0 5 −1=0 1
c
— s
d
( tan ard e ror of p
d
=
Trang 6— 9 % up e conf idenc lmit =
ˆ
p
d + z
β/
s
d
= 0,1 + 1, 96× 0,09 =0,2
The sensory analy st can the efor be 9 % c rtain that he actual pro ortion of thepo ulation ca a le
of dis inguishing the samples is no gr at er than 2 % F or the simiarity t es , the analy st chose the
conf idenc level t o be 1 0 (1 – β) = 9 % Sinc 2 % is les than the pr -es a lshed lmit ( i.e c itical
p
d
= 3 % ), the analys can conclu e with 9 % conf idenc that the samples ar sufficiently simi ar in
surfac sl p t o be used int er hang ea ly
Sinc x was defined as the ma imum choic cou t r g rdles of w hich sample r c ived the highe cou t,
only the up er-lmit of the two-sided conf idenc int erv l ne ds t o be calculat ed
Trang 8ICS 67.240