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To test the significant effect of two independent
variables to one dependent variable, and to test the
significant interaction of the two independent
variables to the dependent variable.
The two independent variables are called “row”
factors (A factor) and “column” factor (B factor).
Testing the mean of rows, testing the means of
column, and testing the mean of cells in the same row
or the same column.
The hypothesis test on 2 x 2 factorial design
eperiment
LEARNING
METHOD A
LEARNING
METHOD B
SMALL CLASS
BIG CLASS
The hypothesis test on 2 x 2 factorial design
eperiment
LEARNING
METHOD A
LEARNING
METHOD B
SMALL CLASS
BIG CLASS
The hypothesis test on 2 x 2 factorial design
eperiment
LEARNING
METHOD A
LEARNING
METHOD B
SMALL CLASS
BIG CLASS
The hypothesis test on 2 x 2 factorial design
eperiment
LEARNING
METHOD A
LEARNING
METHOD B
SMALL CLASS
BIG CLASS
The hypothesis test on 2 x 2 factorial design
eperiment
LEARNING
METHOD A
LEARNING
METHOD B
SMALL CLASS
BIG CLASS
The hypothesis test on 2 x 2 factorial design
eperiment
LEARNING
METHOD A
LEARNING
METHOD B
SMALL CLASS
BIG CLASS
The hypothesis test on 2 x 2 factorial design
eperiment
LEARNING
METHOD A
LEARNING
METHOD B
SMALL CLASS
BIG CLASS
1. Komponen komputasi a. Jumlah Kuadrat (JK) atau sum of square (SS)
1) Anava dua jalan sel sama Tabel jumlah AB
Faktor A
Faktor B Total
b1 b2 ... bq
a1 AB11 AB12 ... AB1q A1
a2 AB21 AB22 ... AB2q A2
... ... ... ... ... ...
ap ABp1 ABp2 ... ABpq Ap
Total B1 B2 ... Bq G
Untuk memudahkan perhitungan pada anava dua jalan sel sama, didefinisikan besaran-besaran (1), (2), (3), (4), dan (5) sebagai berikut:
N
G 2
1 j
j
np
B2
4
kji
ijkX,,
22 ji
ij
n
AB
,
2
5
i
i
nq
A2
3
)1()3( JKA )1()4( JKB
)4()3()5()1( JKAB )5(2 JKG
JKGJKABJKBJKAJKTJKT atau )1()2(
1) Anava dua jalan sel tak sama Tabel rerata dan jumlah rerata
Faktor A
Faktor B Total
b1 b2 ... bq
a1 11AB 12AB ... qAB1 A1
a2 21AB 22AB ... qAB 2 A2
... ... ... ... ... ...
ap 1pAB 2pAB ...
pqAB Ap
Total B1 B2 ... Bq G
Pada analisis variansi dua jalan dengan sel tak sama, didefinisikan notasi-notasi sebagai berikut:
ji
ijnN,
banyaknya seluruh data amatan
ijn banyaknya data amatan pada sel ij
hn rerata harmonik frekuensi seluruh sel =
ji ijn
pq
,
1
ij
k
ijk
k
ijkijn
X
XSS
2
2
= jumlah kuadrat deviasi data amatan pada sel ij
ijAB rerata pada sel ij
i
iji ABA jumlah rerata pada baris ke-i
j
ijj ABB jumlah rerata pada kolom ke-j
ij
ijABG jumlah rerata semua sel
Untuk memudahkan perhitungan, didefinisikan besaran-besaran (1), (2), (3), (4), dan (5) sebagai berikut:
pq
G 2
1
ij
ijSS2
i
i
q
A2
3
j
j
p
B2
4
ij
ijAB2
5
13 hnJKA
14 hnJKB
4351 hnJKAB 2JKG
JKGJKABJKBJKAJKT
Derajat kebebasan atau degrees of freedom (df) dkA = 𝑝 − 1 dkB = 𝑞 − 1 dkAB = 𝑝 − 1 (𝑞 − 1) dkG = 𝑁 − 𝑝𝑞 dkT = 𝑁 − 1
Rerata kuadrat atau mean square (MS)
𝑅𝐾𝐴 =𝐽𝐾𝐴
𝑑𝑘𝐴
𝑅𝐾𝐵 =𝐽𝐾𝐵
𝑑𝑘𝐵
𝑅𝐾𝐴𝐵 =𝐽𝐾𝐴𝐵
𝑑𝑘𝐴𝐵
𝑅𝐾𝐺 =𝐽𝐾𝐺
𝑑𝑘𝐺
Statistik uji
1) Untuk H0A adalah 𝐹𝑎 =𝑅𝐾𝐴
𝑅𝐾𝐺
2) Untuk H0B adalah 𝐹𝑏 =𝑅𝐾𝐵
𝑅𝐾𝐺
3) Untuk H0AB adalah 𝐹𝑎𝑏 =𝑅𝐾𝐴𝐵
𝑅𝐾𝐺
Daerah kritik 1) Daerah kritik untuk Fa adalah DKa = {𝐹|𝐹 > 𝐹𝛼 ;𝑝−1,𝑁−𝑝𝑞 }
2) Daerah kritik untuk Fb adalah DKb = {𝐹|𝐹 > 𝐹𝛼 ;𝑞−1,𝑁−𝑝𝑞 }
3) Daerah kritik untuk Fab adalah DKab = {𝐹|𝐹 > 𝐹𝛼 ; 𝑝−1 (𝑞−1),𝑁−𝑝𝑞 }
Keputusan uji 1) H0A ditolak apabila Fa ∈ DKa 2) H0B ditolak apabila Fb ∈ 𝐷𝐾𝑏 3) H0AB ditolak apabila Fab ∈ DKab
Source of variance
Sum of squares
Degrees of Freedom
Mean Square Test Statistics
Rows SSR p-1 𝑀𝑆𝑅 = 𝑆𝑆𝑅 𝑝 − 1 𝐹𝑎 = 𝑀𝑆𝑅 𝑀𝑆𝐸
Columns SSC q-1 𝑀𝑆𝐶 = 𝑆𝑆𝐶 𝑞 − 1 𝐹𝑏 = 𝑀𝑆𝐶 𝑀𝑆𝐸
Treatments SS(Tr) (p-1)(q-1) 𝑀𝑆(𝑇𝑟) = 𝑆𝑆(𝑇𝑟) 𝑝 − 1 (𝑞 − 1) 𝐹𝑎𝑏 = 𝑀𝑆(𝑇𝑟) 𝑀𝑆𝐸
Error SSE N-pq 𝑀𝑆𝐸 = 𝑆𝑆𝐸 𝑁 − 𝑝𝑞 -
Total SST N-1 - -
Rangkuman Analisis
EXAMPLE
A study was conducted to examine the effect of eating high protein (level I, level II, and level III) breakfast on adolescents' performance during a physical education physical fitness test. Boys and Girls were given a fitness test with high scores representing better performance. The test scores are recorded below.
Are there any significant main effects or an interaction effect ?
(use 5% level of significance)
Level I Level II Level III
Boys 4 4 2 4 7 4 6 5 2 3 3 1
Girls 9 8 6 6 9 8 8 9 6 5 5 2
SOLUTION
1. Hypotheses:
H0A : there is no difference in the effect of gender on the fitness score.
H1A : there is difference in the effect of gender on the fitness score.
H0B : there is no difference in the effect of protein level on the fitness score.
H1B : there is difference in the effect of protein level on the fitness score.
H0AB : there is no interaction between gender and protein level of the fitness
score.
H1AB : there is interaction between gender and protein level of the fitness score.
2. Level of significance = 5%
SOLUTION
3. Computation
Source of
variance
Sum of
square
Degrees of
freedom
Mean
squaresFtest Ftable Decision Conclusion
Gender 54 1 54 35,345 4,41 H0A is rejectedthere is difference in the effect
of gender on the fitness score
Protein level 52,75 2 26,375 17,264 3,55 H0B is rejected
there is difference in the effect
of protein level on the fitness
score
Treatments
/Interacton2,25 2 1,125 0,736 3,55
H0AB is
accepted
there is interaction between
gender and protein level of
the fitness score
Error 27,5 18 1,528 - - - -
Total 136,5 23 - - - - -
Level I Level II Level III Marginalmeans
Boys 3,5 5,5 2,25 3,75
Girls 7,25 8,5 4,5 6,75
Marginalmeans
5,375 7 3,375
HOMEWORK
No 12 on page , Statistika Untuk Penelitian
No 15.34 on page 386, Modern Elementary Statistics
Number 12
Ada perbedaan efektivitas ukuran kelas terhadap prestasi, dilihat dari rerata
marginalnya, kelas kecil lebih efektif daripada kelas besar.
Ada perbedaan efektivitas metode pembelajarn terhadap prestasi, dilihat dari
rerata marginalnya, metode diskusi lebih efektif daripada metode ceramah.
Ada interaksi antara ukuran kelas dan metode pembelajaran terhadap prestasi
Pada kelas kecil, metode diskusi sama efektifnya dengan metode ceramah,
sedangkan pada kelas besar, metode diskusi lebih efektif daripada metode
ceramah.
Dengan metode diskusi, pembelajaran di kelas kecil sama efektifnya dengan
pembelajaran di kelas besar, sedangkan dengan metode ceramah,
pembelajaran di kelas kecil lebih efektif daripada pembelajaran di kelas besar.
Problem
A study was conducted to know the effect of antibiotic dose (20 grams, 30 grams,
and 40 grams) which are given to patients (children, adult, and elderly) on the
recovery time. This study was conducted with 36 people as the sample who spreads
into the same number of each cell (4 people for each). Assuming that the pre-
conditions of analysis are all satisfied and the SSR = 158, 389; SSC = 1071, 056; SS(Tr) =
847, 444; and SST = 3589,889. Perform a two-way analysis of variance using the 5% of
level of significance.
Children Adult Elderly
20 grams 31,75 34 36,5
30 grams 29,75 34,25 34,75
40 grams 21 42,5 50