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8/20/2019 Pengolahan Data Statistik 87676757
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E
–
–
–
,
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A A I I DE I IF• B •
• F
• ,
H • J :
. ( )
.
• J :. .
• B : , , .
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•
:
.
.
:
, .
( )
.
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• /
.
: :
18 , 22 , 21 , 20 , 23 , 20 20 .
H ,
H ,
• J , ,
• J > > ,
/ • J < < ,
.
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H , , ,
• B 30 F 2007
19,19,20,20,19,20,20,18,20,20,21,22,25,24,20, 19,20,20,19,19,18, 20,19,19, 19,20,18,18,24,23
C :
Tentukan bentuk sebarannya (miring ke kiri atauke kanan?????
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Miring ke kanan, Data lebih banyak di sebelah kiri
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•
.
• :
• ,
.
:
:
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Statisticssistolik
500
78.400070.0000
70.0070.000070.000080.0000
ValidMissing
N
MeanMedianMode
255075
Percentiles
120.00110.00100.0090.0080.0070.0060.00
sistolik
30
25
20
15
10
5
0
F r e q u e n c y
Mean = 78.40Std. Dev. = 12.0136N = 50
Histogram
•
/ .
D :
D .
n
x xSD
2)1( −∑=
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• :, ,
.• B
( ) ( )
.• B
( ) (I ) .
• H
C :D
pendidikan jumlah persentase
SD 60 60.0
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A parameter Kreteria normal
Koefisien varians Jika >30%
Rasio skweenes Dihitung dari nilai skweenes/standard error skweenes= -2 sd 2
Rasio kurtosis Dihitung dari nilai kurtosis/standard error kurtosis =-2 sd 2
histogram Simetris, tidak miring ke kiri maupun ke kanan
Box plot Simetris, median tepat di tengah, tidak ada outlierdan nilai ekstrim
Normal Q-Q plots Data menyebar sekitar garis
Detrended QQ plots Data menyebar sekitar garis pada nilai 0
Kolmogorov smirnovShapiro-wilk
> 0.05
A I I I FE E IA•
D :•
•
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J • :
– D – 2 – – H
• : – –
,
– ( ) – D
– ( ) – –
( )
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?
A 2
• , , ,
)
• :
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J ( ) ( ) > 0.05,
Tests of Normality
,171 9 ,200* ,927 9 ,458,143 9 ,200* ,979 9 ,957,214 9 ,200* ,939 9 ,542,222 9 ,200* ,899 9 ,313
DOSISkontrol20%30%40%
JUMLAHStatistic df Sig. Statistic df Sig.
Kolmogorov-Smirnov a Shapiro-Wilk
This is a lower bound of the true significance.*.
Lilliefors Significance Correctiona.
J . > 0.05
Test of Homogeneity of Variances
JUMLAH
1,256 3 32 ,306
LeveneStatistic df1 df2 Sig.
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H
– A – ( ,
) – ( , ,
) –
–
()
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•
CC 4. J ,
G ? G
.
Rusak(ccl4) +
aqua
SGPT Rusak (CCl4)+ meniran1
SGPT
1 33.99 1 29.232 33.79 2 28.163 33.5 3 28.354 34.28 4 29.135 33.6 5 28.456 33.69 6 30.597 34.47 7 28.06
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•
CC 4. . H G
.
G
?
No.Tikus
SGPTsebelum
SGPTsesudah
1 33.99 31.07
2 33.79 31.36
3 33.5 30.97
4 34.28 30.78
5 33.6 31.27
6 33.69 30.88
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• C
–
– ,
( ) –
( )
. D
,
• = A : C I =A+B C+D
A
Faktor risikoefek
ya tidak jumlah
Ya A B A+B
tidak C D C+D
Jumlah A+C B+D A+B+C+D
)()(96.1ln
d bbb
caaa RP
EXP ++
+±
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I :• B = 1
, , .• B > 1,
1, . A 1,
.• < 1,
1, , . J
1, .• B 1,
1,
, I
. J 1, = 1, .
CA E C•
( )
.• , (
) ( ).
• D
.
• ( ).
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I =
BxC
AxDOR =
d cbaOR
EXP
111196.1ln +++±
C H•
.• ,
,
.
• ( )
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• =
• I =
DC
C A
++:
)()(96.1ln
d bb
b
caa
a RP
EXP ++
+±
• BB I
A . B . J
C, ,
. H .
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.
1 BB
2 BB
3
4
5
6
7
8 BB
9 BB
10 BB
11 BB
12 BB
13 BB
14
15
15
16
17
18
19 BB
20 BB
21 BB
22 BB
23
24
25
26
27 BB
28 BB
29 BB
30
• JI A E E I IA E EB DI A ADE GA DE AI CA E C , HI G
I AI A