1
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi
Distribusi Probabilitas Kontinyu Teoritis
2
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Dist.
Prob.
Teoritis Kontinyu (1)
Distribusi seragam kontinyu (
continuous
uniform
distribution
)
Distribusi segitiga (
triangular
distribution
)
9
Distribusi segitiga kiri (
left
triangular
distribution
)
9
Distribusi segitiga kanan (
right
triangular
distribution
)
Distribusi normal
(
normal
distribution
)
9
Distribusi normal
baku (
standard
normal
distribution
)
Distribusi lognormal
(
lognormal
distribution
)
Distribusi gamma
(
gamma
distribution
)
3
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Dist.
Prob.
Teoritis Kontinyu (2)
Distribusi eksponensial (
exponential
distribution
)
Distribusi khi
‐
kuadrat (
chisquare distribution
)
Distribusi Weibull (
Weibull distribution
)
Distribusi student
t
(Student
t
distribution
)
Distribusi
F
(F
distribution
)
Distribusi beta
(
beta
distribution
)
4
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Seragam Kontinyu (1)
X
∼
seragam kontinyu (
a
,
b
)
( )
⎪
⎩
⎪
⎨
⎧
<
<
−
=
lainnya
;
0
;
1
x
b
x
a
a
b
x
f
Parameter:
a
,
b
bilangan riil (
b
>
a
)
Rataan:
2
b
a
X
+
=
μ
Variansi:
(
)
12
2
2
b
a
X
−
=
σ
a
:
batas bawah
b
:
batas atas
5
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Seragam Kontinyu (2)
Fungsi distribusi probabilitas kumulatif
:
( )
⎪
⎪
⎪
⎩
⎪⎪
⎪
⎨
⎧
>
<
<
−
−
<
=
b
x
b
x
a
a
b
a
x
a
x
x
F
;
1
;
;
0
6
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Seragam Kontinyu
0.00
0.05
0.10
0.15
0.20
0.25
5.00
10.00
15.00
20.00
25.00
x
f(x
)
7
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Seragam
Kontinyu
(
)
∫
−
=
<
<
2
1
1
2
1
x
x
b
a
dx
x
X
x
P
( )
x
f
x
a
x
1
x
2
b
8
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Perhitungan
Diameter
komponen yang
dinyatakan dengan variabel random
X
diketahui berdistribusi seragam kontinyu dengan batas bawah
10
mm
dan batas atas =
20
mm.
Probabilitas bahwa diameter
komponen kurang dari 15
mm?
(
)
,5
0
10
10
‐
15
10
20
1
15
15
10
=
=
−
=
<
∫
dx
9
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Segitiga
X
∼
segitiga (
a
,
b
,
c
)
Parameter:
a
,
b,
c
bilangan ril (
a
<
b
<
c
)
Rataan:
3
c
b
a
+
+
=
μ
Variansi:
18
2
2
2
2
=
a
+
b
+
c
−
ab
−
ac
−
bc
σ
( )
(
)
(
)(
)
(
)
(
)(
)
⎪
⎪
⎪
⎩
⎪
⎪
⎪
⎨
⎧
≤
≤
−
−
−
≤
≤
−
−
−
=
lainnya
;
0
;
2
;
2
c
x
b
b
c
a
c
x
c
b
x
a
a
b
a
c
a
x
x
f
Fungsi distribusi probabilitas:
10
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Segitiga (2)
Fungsi probabilitas kumulatif:
( )
(
)
(
)(
)
(
)
(
)(
)
⎪
⎪
⎪
⎩
⎪
⎪
⎪
⎨
⎧
<
<
<
<
11
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Segitiga
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.00
5.00
10.00
15.00
20.00
25.00
x
f(x
)
a
=
5,
b
=
10,
c
=
20
12
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Segitiga
x
1
x
2
a
b
c
f
(
x
)
x
(
)
∫
(
(
)(
)
)
−
−
−
=
<
<
2
1
2
2
1
x
x
c
a
b
a
dx
a
x
x
13
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Segitiga
f
(
x
)
x
1
x
2
a
b
c
x
(
)
∫
(
(
)(
)
)
−
−
−
=
<
<
2
1
2
2
1
x
x
c
a
c
b
dx
x
c
x
X
x
P
14
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Segitiga
x
1
x
2
a
b
c
x
f
(
x
)
(
)
∫
(
(
)(
)
)
∫
(
(
)(
)
)
−
−
−
+
−
−
−
=
<
<
2
1
2
2
2
1
x
b
b
x
c
a
c
b
dx
x
c
dx
a
b
a
c
a
x
x
15
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Perhitungan
Misal variabel random
X
menyatakan waktu perjalanan yang
diketahui berdistribusi segitiga dengan nilai optimistik
a
=
5
menit,
nilai pesimistik
c
=
20
menit,
dan
most
likely b
=
10
menit.
Probabilitas bahwa waktu perjalanan antara 8
menit dan 12
menit?
8
5
10
12
15
x
(
)
(
(
)(
)
)
(
(
)(
)
)
(
)
(
)
4533
,
0
2400
,
0
2133
,
0
150
20
2
75
5
2
10
20
5
20
20
2
5
10
5
20
5
2
12
8
12
10
10
8
12
10
10
8
=
+
=
−
+
−
=
−
−
−
+
−
−
−
=
<
<
∫
∫
∫
∫
dx
x
dx
x
dx
x
dx
x
X
P
16
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Segitiga Kanan dan
Distribusi Segitiga Kiri
X
∼
segitiga (
a
,
b
,
c
)
b
=
a
b
=
c
X
∼
segitiga kiri (
left
triangular
)
X
∼
segitiga kanan (
right
triangular
)
( )
(
(
)
)
⎪⎩
⎪
⎨
⎧
<
<
−
−
=
lainnya
;
0
;
2
2
a
x
c
a
c
x
c
x
f
( )
(
(
)
)
⎪⎩
⎪
⎨
⎧
<
<
−
−
=
lainnya
;
0
;
2
2
a
x
c
17
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Segitiga Kiri
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.00
5.00
10.00
15.00
20.00
25.00
x
f(x
)
a
= 5,
b
= 5,
c
= 20
18
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Segitiga Kanan
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.00
5.00
10.00
15.00
20.00
25.00
x
f(x
)
19
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Normal
X
∼
normal
(
μ
,
σ
2
)
Parameter:
μ
bilangan ril;
σ
2
>
0
Rataan:
μ
μ
X
=
Variansi:
2
2
σ
σ
X
=
∞
<
<
∞
=
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
⎟
⎠
⎞
⎜
⎝
⎛ −
−
x
‐
e
x
f
x
;
2
1
)
(
2
2
1
σ
μ
π
σ
μ
: rataan
σ
2
:
variansi
Fungsi distribusi probabilitas:
20
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Normal
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
18.00
x
f(x
)
μ
=
10,
σ
2
=
1
21
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Normal
Baku
Rataan:
0
=
Z
μ
Variansi:
1
2
=
Z
σ
X
∼
normal
(
μ
,
σ
2
)
σ
μ
−
=
X
Z
Z
∼
normal
baku (
standard
normal
)
∞
<
<
∞
=
⎟
⎠
⎞
⎜
⎝
⎛ −
z
‐
e
z
f
z
;
2
1
)
(
2
2
1
π
Fungsi distribusi probabilitas:
22
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Kurva Distribusi Normal
Baku
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
‐
5.00
‐
4.00
‐
3.00
‐
2.00
‐
1.00
0.00
1.00
2.00
3.00
4.00
5.00
z
f(z
)
23
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Berdistribusi Normal
(
)
⎟
⎠
⎞
⎜
⎝
⎛
<
−
−
⎟
⎠
⎞
⎜
⎝
⎛
<
−
=
⎟
⎠
⎞
⎜
⎝
⎛
−
<
<
−
=
<
<
σ
μ
σ
μ
σ
μ
σ
μ
1
2
2
1
2
1
P
Z
x
P
Z
x
x
Z
x
P
x
X
x
P
μ
2σ
( )
x
f
x
1
x
x
20
( )
z
f
z
1
z
z
224
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
0.00
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
-4.00
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
-3.90
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
-3.80
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
-3.70
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
-3.60
0.0002
0.0002
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
0.0001
-3.50
0.0002
0.0002
0.0002
0.0002
0.0002
0.0002
0.0002
0.0002
0.0002
0.0002
-3.40
0.0003
0.0003
0.0003
0.0003
0.0003
0.0003
0.0003
0.0003
0.0003
0.0002
-3.30
0.0005
0.0005
0.0005
0.0004
0.0004
0.0004
0.0004
0.0004
0.0004
0.0003
-3.20
0.0007
0.0007
0.0006
0.0006
0.0006
0.0006
0.0006
0.0005
0.0005
0.0005
-3.10
0.0010
0.0009
0.0009
0.0009
0.0008
0.0008
0.0008
0.0008
0.0007
0.0007
-3.00
0.0013
0.0013
0.0013
0.0012
0.0012
0.0011
0.0011
0.0011
0.0010
0.0010
-2.90
0.0019
0.0018
0.0018
0.0017
0.0016
0.0016
0.0015
0.0015
0.0014
0.0014
-2.80
0.0026
0.0025
0.0024
0.0023
0.0023
0.0022
0.0021
0.0021
0.0020
0.0019
-2.70
0.0035
0.0034
0.0033
0.0032
0.0031
0.0030
0.0029
0.0028
0.0027
0.0026
-2.60
0.0047
0.0045
0.0044
0.0043
0.0041
0.0040
0.0039
0.0038
0.0037
0.0036
-2.50
0.0062
0.0060
0.0059
0.0057
0.0055
0.0054
0.0052
0.0051
0.0049
0.0048
-2.40
0.0082
0.0080
0.0078
0.0075
0.0073
0.0071
0.0069
0.0068
0.0066
0.0064
-2.30
0.0107
0.0104
0.0102
0.0099
0.0096
0.0094
0.0091
0.0089
0.0087
0.0084
-2.20
0.0139
0.0136
0.0132
0.0129
0.0125
0.0122
0.0119
0.0116
0.0113
0.0110
-2.10
0.0179
0.0174
0.0170
0.0166
0.0162
0.0158
0.0154
0.0150
0.0146
0.0143
-2.00
0.0228
0.0222
0.0217
0.0212
0.0207
0.0202
0.0197
0.0192
0.0188
0.0183
-1.90
0.0287
0.0281
0.0274
0.0268
0.0262
0.0256
0.0250
0.0244
0.0239
0.0233
-1.80
0.0359
0.0351
0.0344
0.0336
0.0329
0.0322
0.0314
0.0307
0.0301
0.0294
-1.70
0.0446
0.0436
0.0427
0.0418
0.0409
0.0401
0.0392
0.0384
0.0375
0.0367
-1.60
0.0548
0.0537
0.0526
0.0516
0.0505
0.0495
0.0485
0.0475
0.0465
0.0455
-1.50
0.0668
0.0655
0.0643
0.0630
0.0618
0.0606
0.0594
0.0582
0.0571
0.0559
-1.40
0.0808
0.0793
0.0778
0.0764
0.0749
0.0735
0.0721
0.0708
0.0694
0.0681
-1.30
0.0968
0.0951
0.0934
0.0918
0.0901
0.0885
0.0869
0.0853
0.0838
0.0823
-1.20
0.1151
0.1131
0.1112
0.1093
0.1075
0.1056
0.1038
0.1020
0.1003
0.0985
-1.10
0.1357
0.1335
0.1314
0.1292
0.1271
0.1251
0.1230
0.1210
0.1190
0.1170
-1.00
0.1587
0.1562
0.1539
0.1515
0.1492
0.1469
0.1446
0.1423
0.1401
0.1379
-0.90
0.1841
0.1814
0.1788
0.1762
0.1736
0.1711
0.1685
0.1660
0.1635
0.1611
-0.80
0.2119
0.2090
0.2061
0.2033
0.2005
0.1977
0.1949
0.1922
0.1894
0.1867
-0.70
0.2420
0.2389
0.2358
0.2327
0.2296
0.2266
0.2236
0.2206
0.2177
0.2148
-0.60
0.2743
0.2709
0.2676
0.2643
0.2611
0.2578
0.2546
0.2514
0.2483
0.2451
-0.50
0.3085
0.3050
0.3015
0.2981
0.2946
0.2912
0.2877
0.2843
0.2810
0.2776
-0.40
0.3446
0.3409
0.3372
0.3336
0.3300
0.3264
0.3228
0.3192
0.3156
0.3121
-0.30
0.3821
0.3783
0.3745
0.3707
0.3669
0.3632
0.3594
0.3557
0.3520
0.3483
-0.20
0.4207
0.4168
0.4129
0.4090
0.4052
0.4013
0.3974
0.3936
0.3897
0.3859
-0.10
0.4602
0.4562
0.4522
0.4483
0.4443
0.4404
0.4364
0.4325
0.4286
0.4247
-0.00
0.5000
0.4960
0.4920
0.4880
0.4840
0.4801
0.4761
0.4721
0.4681
0.4641
25
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
0.00
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0.00
0.5000
0.5040
0.5080
0.5120
0.5160
0.5199
0.5239
0.5279
0.5319
0.5359
0.10
0.5398
0.5438
0.5478
0.5517
0.5557
0.5596
0.5636
0.5675
0.5714
0.5753
0.20
0.5793
0.5832
0.5871
0.5910
0.5948
0.5987
0.6026
0.6064
0.6103
0.6141
0.30
0.6179
0.6217
0.6255
0.6293
0.6331
0.6368
0.6406
0.6443
0.6480
0.6517
0.40
0.6554
0.6591
0.6628
0.6664
0.6700
0.6736
0.6772
0.6808
0.6844
0.6879
0.50
0.6915
0.6950
0.6985
0.7019
0.7054
0.7088
0.7123
0.7157
0.7190
0.7224
0.60
0.7257
0.7291
0.7324
0.7357
0.7389
0.7422
0.7454
0.7486
0.7517
0.7549
0.70
0.7580
0.7611
0.7642
0.7673
0.7704
0.7734
0.7764
0.7794
0.7823
0.7852
0.80
0.7881
0.7910
0.7939
0.7967
0.7995
0.8023
0.8051
0.8078
0.8106
0.8133
0.90
0.8159
0.8186
0.8212
0.8238
0.8264
0.8289
0.8315
0.8340
0.8365
0.8389
1.00
0.8413
0.8438
0.8461
0.8485
0.8508
0.8531
0.8554
0.8577
0.8599
0.8621
1.10
0.8643
0.8665
0.8686
0.8708
0.8729
0.8749
0.8770
0.8790
0.8810
0.8830
1.20
0.8849
0.8869
0.8888
0.8907
0.8925
0.8944
0.8962
0.8980
0.8997
0.9015
1.30
0.9032
0.9049
0.9066
0.9082
0.9099
0.9115
0.9131
0.9147
0.9162
0.9177
1.40
0.9192
0.9207
0.9222
0.9236
0.9251
0.9265
0.9279
0.9292
0.9306
0.9319
1.50
0.9332
0.9345
0.9357
0.9370
0.9382
0.9394
0.9406
0.9418
0.9429
0.9441
1.60
0.9452
0.9463
0.9474
0.9484
0.9495
0.9505
0.9515
0.9525
0.9535
0.9545
1.70
0.9554
0.9564
0.9573
0.9582
0.9591
0.9599
0.9608
0.9616
0.9625
0.9633
1.80
0.9641
0.9649
0.9656
0.9664
0.9671
0.9678
0.9686
0.9693
0.9699
0.9706
1.90
0.9713
0.9719
0.9726
0.9732
0.9738
0.9744
0.9750
0.9756
0.9761
0.9767
2.00
0.9772
0.9778
0.9783
0.9788
0.9793
0.9798
0.9803
0.9808
0.9812
0.9817
2.10
0.9821
0.9826
0.9830
0.9834
0.9838
0.9842
0.9846
0.9850
0.9854
0.9857
2.20
0.9861
0.9864
0.9868
0.9871
0.9875
0.9878
0.9881
0.9884
0.9887
0.9890
2.30
0.9893
0.9896
0.9898
0.9901
0.9904
0.9906
0.9909
0.9911
0.9913
0.9916
2.40
0.9918
0.9920
0.9922
0.9925
0.9927
0.9929
0.9931
0.9932
0.9934
0.9936
2.50
0.9938
0.9940
0.9941
0.9943
0.9945
0.9946
0.9948
0.9949
0.9951
0.9952
2.60
0.9953
0.9955
0.9956
0.9957
0.9959
0.9960
0.9961
0.9962
0.9963
0.9964
2.70
0.9965
0.9966
0.9967
0.9968
0.9969
0.9970
0.9971
0.9972
0.9973
0.9974
2.80
0.9974
0.9975
0.9976
0.9977
0.9977
0.9978
0.9979
0.9979
0.9980
0.9981
2.90
0.9981
0.9982
0.9982
0.9983
0.9984
0.9984
0.9985
0.9985
0.9986
0.9986
3.00
0.9987
0.9987
0.9987
0.9988
0.9988
0.9989
0.9989
0.9989
0.9990
0.9990
3.10
0.9990
0.9991
0.9991
0.9991
0.9992
0.9992
0.9992
0.9992
0.9993
0.9993
3.20
0.9993
0.9993
0.9994
0.9994
0.9994
0.9994
0.9994
0.9995
0.9995
0.9995
3.30
0.9995
0.9995
0.9995
0.9996
0.9996
0.9996
0.9996
0.9996
0.9996
0.9997
3.40
0.9997
0.9997
0.9997
0.9997
0.9997
0.9997
0.9997
0.9997
0.9997
0.9998
3.50
0.9998
0.9998
0.9998
0.9998
0.9998
0.9998
0.9998
0.9998
0.9998
0.9998
3.60
0.9998
0.9998
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
3.70
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
3.80
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
0.9999
3.90
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
4.00
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
T
a
b
e
lD
is
tr
ib
u
siN
o
rm
a
l
Baku
26
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Perhitungan (1)
Tinggi badan yang
dinyatakan dengan variabel
random
X
diketahui berdistribusi normal
dengan
rataan
μ
=
160
cm
dan variansi
σ
2
=
16
cm
2
.
Probabilitas bahwa tinggi badan antara 150
cm
dan 165
(
cm?
)
(
)
(
) (
)
8862
,
0
0062
,
0
8944
,
0
50
,
2
25
,
1
25
,
1
50
,
2
4
160
165
4
160
150
165
150
=
−
=
<
−
<
=
<
<
−
=
⎟
⎠
⎞
⎜
⎝
⎛
−
<
<
−
=
<
<
Z
P
Z
P
Z
P
Z
P
X
P
μ
X
=
160
150
165
σ
X
2
=
16
27
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Perhitungan (2)
Nilai ujian mahasiswa yang
diasumsikan memiliki distribusi
normal
(rataan
μ
=
80,
variansi
σ
2
=
100).
Jika mahasiswa yang
lulus
diinginkan sebesar 99
persen,
batas nilai kelulusan?
Misal variabel random
X
Æ
nilai ujian mahasiswa
(
)
(
)
(
)
7
,
56
33
,
2
10
80
33
,
2
10
80
01
,
0
10
80
01
,
0
99
,
0
=
−
=
−
=
−
=
⎟
⎠
⎞
⎜
⎝
⎛
<
−
=
<
⇒
=
>
x
x
x
x
Z
P
x
X
P
x
X
P
x
α
μ
X
= 80
σ
X
2
= 100
x
28
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Hampiran Distribusi Normal
terhadap
Distribusi Binomial
X
∼
binomial
(
n
,
p
);
n
→ ∞
,
p
→
0,5
rataan
μ
=
np
;
variansi
σ
2
=
np
(1
−
p
)
(
p
)
np
np
X
Z
−
−
=
1
29
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Perhitungan
Probabilitas bahwa seseorang pada suatu daerah terinfeksi virus
demam berdarah adalah
p
=
0,4.
Jika sebanyak
n
=
100
orang
dipilih secara random
dari daerah tersebut,
probabilitas bahwa
terdapat kurang dari 30
orang terinfeksi?
Misal variabel random
X
Æ
banyaknya orang yang
terinfeksi
( )( )
(
) ( )( )(
)
(
)
(
2
,
14
)
0
,
0162
24
40
30
30
24
4
,
0
1
4
,
0
100
1
40
4
,
0
100
2
=
−
<
=
⎟
⎠
⎞
⎜
⎝
⎛
<
−
=
<
=
−
=
−
=
=
=
=
Z
P
Z
P
X
P
p
np
np
X
X
σ
μ
30
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Lognormal
X
∼
lognormal
(
μ
,
σ
2
)
Parameter:
μ
bilangan ril;
σ
2
>
0
Rataan:
2
2
σ
μ
μ
=
+
e
X
Variansi:
(
2
1
)
2
2
2
=
μ
+
σ
σ
−
σ
X
e
e
⎪
⎪
⎩
⎪
⎪
⎨
⎧
>
=
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
⎟
⎠
⎞
⎜
⎝
⎛
−
−
lainnya
,
0
0
;
2
1
)
(
2
ln
2
1
x
e
x
x
f
x
σ
μ
π
σ
31
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Lognormal
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
x
f(x
)
1
;
5
,
0
2
=
=
σ
μ
1
;
1
2
=
=
σ
μ
32
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Hubungan Distribusi Normal
dengan
Lognormal
X
e
Y
=
Y
~ lognormal (
μ
,
σ
2
)
X
~ normal (
μ
,
σ
2
)
Y
33
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Berdistribusi Lognormal
X
∼
Lognormal(
μ
,
σ
2
)
(
)
(
( ) ( )
)
( )
⎟
⎠
⎞
⎜
⎝
⎛
<
−
=
<
=
<
σ
μ
x
Z
P
x
X
P
x
X
P
ln
ln
ln
34
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Soal
Waktu perbaikan suatu mesin diketahui memiliki distribusi
lognormal
(
μ
=
2
,
σ
2
=
1).
Probabilitas bahwa waktu perbaikan
mesin lebih dari 20
menit?
Misal
X
Æ
variabel random
waktu perbaikan
(
)
(
( )
( )
)
( )
( )
(
)
0,1587
0,8413
1
00
,
1
1
1
2
20
ln
1
20
ln
1
20
ln
ln
20
=
−
=
<
−
=
⎟
⎠
⎞
⎜
⎝
⎛
<
−
−
=
⎟
⎠
⎞
⎜
⎝
⎛
<
−
35
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Gamma
X
∼
gamma
(
α
,
β
)
Parameter:
α
,
β
>
0
Rataan:
Variansi:
( )
( )
⎪
⎪
⎩
⎪⎪
⎨
⎧
>
Γ
=
−
−
lainnya
;
0
0
;
1
1
x
x
e
x
x
f
x
β
α
α
α
β
αβ
μ
X
=
2
2
αβ
σ
X
=
Fungsi distribusi probabilitas:
36
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Fungsi Gamma
( )
=
∫
∞
−
−
Γ
0
1
dx
e
x
α
x
α
( ) (
=
−
1
) (
Γ
−
1
)
Γ
α
α
α
( ) (
=
−
1
)
!
Γ
n
n
π
=
⎟
⎠
⎞
⎜
⎝
⎛
Γ
37
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Gamma
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
0.00
1.00
2.00
3.00
4.00
5.00
6.00
x
f(x
)
α
=
0,5;
β
=
1
α
=
1;
β
=
1
α
=
2;
β
=
1
38
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Erlang
X
∼
Erlang (
n
,
β
)
Parameter:
n
bulat >
0,
β
>
0
Rataan:
Variansi:
β
μ
X
=
n
2
2
β
σ
X
=
n
( )
(
)
⎪
⎪
⎩
⎪⎪
⎨
⎧
>
−
=
−
−
lainnya
;
0
0
;
!
1
1
1
x
x
e
x
n
x
f
x
n
n
β
β
39
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Erlang
‐
0.10
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
0.00
1.00
2.00
3.00
4.00
5.00
6.00
x
f(x
)
n
=
1;
β
=
1
n
=
2;
β
=
1
n
=
5;
β
=
1
40
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Hubungan Distribusi Erlang dan Gamma
X
∼
gamma
(
α
,
β
);
α
=
n
bulat
41
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Eksponensial (1)
X
∼
eksponensial (
β
)
Parameter:
β
>
0
Rataan:
Variansi:
β
μ
X
=
2
2
β
σ
X
=
( )
⎪
⎪
⎩
⎪⎪
⎨
⎧
>
=
−
lainnya
;
0
0
;
1
x
x
e
x
f
x
β
β
β
:
rata
‐
rata
Fungsi distribusi probabilitas:
42
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Eksponensial (2)
Fungsi distribusi probabilitas kumulatif:
( )
⎪⎩
⎪
⎨
⎧
>
−
=
−
lainnya
;
0
0
;
1
x
x
e
x
F
x
43
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Eksponensial
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
9.00
10.00
x
f(
x
)
β
=
1
β
=
2
β
=
4
44
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Berdistribusi Eksponensial
X
∼
eksponensial (
β
)
(
<
<
)
=
∫
2
−
1
1
2
1
x
x
x
dx
e
x
X
x
P
β
β
45
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Perhitungan
Umur lampu (dinotasikan dengan
X
)
merupakan variabel random
yang
memiliki distribusi eksponensial dengan rataan
β
=
6
bulan.
Probabilitas bahwa umur lampu
X
lebih dari 8
bulan?
(
)
2636
,
0
6
1
1
6
1
8
8
0
6
8
6
=
−
=
=
>
∫
∫
−
∞
−
dx
e
dx
e
X
P
x
x
46
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Hubungan Distribusi Erlang dan
Eksponensial
X
i
∼
eksponensial (
β
)
∑
=
=
n
i
i
X
Y
1
Y
∼
Erlang (
n
,
β
)
47
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Hubungan Distribusi Gamma,
Erlang dan
Eksponensial
X
∼
Erlang (
n
,
β
)
α
=
1
n
=
1
α
=
n
bulat
X
∼
eksponensial (
β
)
X
∼
gamma
(
α
,
β
)
48
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Hubungan Distribusi Eksponensial dan
Poisson
X
∼
Poisson
(
λt
)
P
(tidak ada kejadian sebelum
t
)
=
P
(
X
=
0)
=
( )
t
t
e
t
e
−
λ
λ
−
λ
=
!
0
0
P
(tidak ada kejadian sebelum
t
)
=
P
(kejadian pertama terjadi pada
atau setelah saat
t
)
=
t
e
−
λ
( )
( )
( )
( )
λ
β
β
λ
β
λ
λ
λ
1
;
1
)
(
1
1
=
=
=
=
−
=
−
=
−
−
−
−
t
t
t
t
e
t
f
e
dt
t
dF
t
f
e
t
F
t
F
e
t
0
λ
49
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Khi
‐
kuadrat
X
∼
khi
‐
kuadrat (
v
)
Parameter:
v
bilangan bulat >
0
Rataan:
Variansi:
v
X
=
μ
v
X
2
2
=
σ
( )
⎪
⎪
⎪
⎩
⎪
⎪
⎪
⎨
⎧
>
⎟
⎠
⎞
⎜
⎝
⎛
Γ
=
−
−
lainnya
;
0
0
;
2
2
1
2
1
2
2
x
x
e
x
v
x
f
x
v
v
v
:
derajat kebebasan
(
degree
of
freedom
)
Fungsi distribusi probabilitas:
50
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Khi
‐
kuadrat
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.00
5.00
10.00
15.00
20.00
25.00
30.00
v
=
5
v
=
10
51
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Berdistribusi Khi
‐
kuadrat
(
χ
)
( )
α
α
χ
α
=
=
>
Χ
2
2
∫
∞
2
dx
x
f
P
χ
2
α
α
Simbol umum untuk variabel random
khi
‐
kuadrat
Æ
Χ
2
Χ
2
∼
khi
‐
kuadrat (
v
)
dengan fungsi distribusi probabilitas
f
(
x
)
52
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
v 0.999 0.975 0.995 0.990 0.975 0.950 0.900 0.500 0.100 0.050 0.025 0.010 0.005 0.025 0.001 1 0.000 0.001 0.000 0.000 0.001 0.004 0.016 0.455 2.706 3.841 5.024 6.635 7.879 5.024 10.828 2 0.002 0.051 0.010 0.020 0.051 0.103 0.211 1.386 4.605 5.991 7.378 9.210 10.597 7.378 13.816 3 0.024 0.216 0.072 0.115 0.216 0.352 0.584 2.366 6.251 7.815 9.348 11.345 12.838 9.348 16.266 4 0.091 0.484 0.207 0.297 0.484 0.711 1.064 3.357 7.779 9.488 11.143 13.277 14.860 11.143 18.467 5 0.210 0.831 0.412 0.554 0.831 1.145 1.610 4.351 9.236 11.070 12.833 15.086 16.750 12.833 20.515 6 0.381 1.237 0.676 0.872 1.237 1.635 2.204 5.348 10.645 12.592 14.449 16.812 18.548 14.449 22.458 7 0.598 1.690 0.989 1.239 1.690 2.167 2.833 6.346 12.017 14.067 16.013 18.475 20.278 16.013 24.322 8 0.857 2.180 1.344 1.646 2.180 2.733 3.490 7.344 13.362 15.507 17.535 20.090 21.955 17.535 26.124 9 1.152 2.700 1.735 2.088 2.700 3.325 4.168 8.343 14.684 16.919 19.023 21.666 23.589 19.023 27.877 10 1.479 3.247 2.156 2.558 3.247 3.940 4.865 9.342 15.987 18.307 20.483 23.209 25.188 20.483 29.588 11 1.834 3.816 2.603 3.053 3.816 4.575 5.578 10.341 17.275 19.675 21.920 24.725 26.757 21.920 31.264 12 2.214 4.404 3.074 3.571 4.404 5.226 6.304 11.340 18.549 21.026 23.337 26.217 28.300 23.337 32.909 13 2.617 5.009 3.565 4.107 5.009 5.892 7.042 12.340 19.812 22.362 24.736 27.688 29.819 24.736 34.528 14 3.041 5.629 4.075 4.660 5.629 6.571 7.790 13.339 21.064 23.685 26.119 29.141 31.319 26.119 36.123 15 3.483 6.262 4.601 5.229 6.262 7.261 8.547 14.339 22.307 24.996 27.488 30.578 32.801 27.488 37.697 16 3.942 6.908 5.142 5.812 6.908 7.962 9.312 15.338 23.542 26.296 28.845 32.000 34.267 28.845 39.252 17 4.416 7.564 5.697 6.408 7.564 8.672 10.085 16.338 24.769 27.587 30.191 33.409 35.718 30.191 40.790 18 4.905 8.231 6.265 7.015 8.231 9.390 10.865 17.338 25.989 28.869 31.526 34.805 37.156 31.526 42.312 19 5.407 8.907 6.844 7.633 8.907 10.117 11.651 18.338 27.204 30.144 32.852 36.191 38.582 32.852 43.820 20 5.921 9.591 7.434 8.260 9.591 10.851 12.443 19.337 28.412 31.410 34.170 37.566 39.997 34.170 45.315 21 6.447 10.283 8.034 8.897 10.283 11.591 13.240 20.337 29.615 32.671 35.479 38.932 41.401 35.479 46.797 22 6.983 10.982 8.643 9.542 10.982 12.338 14.041 21.337 30.813 33.924 36.781 40.289 42.796 36.781 48.268 23 7.529 11.689 9.260 10.196 11.689 13.091 14.848 22.337 32.007 35.172 38.076 41.638 44.181 38.076 49.728 24 8.085 12.401 9.886 10.856 12.401 13.848 15.659 23.337 33.196 36.415 39.364 42.980 45.559 39.364 51.179 25 8.649 13.120 10.520 11.524 13.120 14.611 16.473 24.337 34.382 37.652 40.646 44.314 46.928 40.646 52.620 26 9.222 13.844 11.160 12.198 13.844 15.379 17.292 25.336 35.563 38.885 41.923 45.642 48.290 41.923 54.052 27 9.803 14.573 11.808 12.879 14.573 16.151 18.114 26.336 36.741 40.113 43.195 46.963 49.645 43.195 55.476 28 10.391 15.308 12.461 13.565 15.308 16.928 18.939 27.336 37.916 41.337 44.461 48.278 50.993 44.461 56.892 29 10.986 16.047 13.121 14.256 16.047 17.708 19.768 28.336 39.087 42.557 45.722 49.588 52.336 45.722 58.301 30 11.588 16.791 13.787 14.953 16.791 18.493 20.599 29.336 40.256 43.773 46.979 50.892 53.672 46.979 59.703 40 17.916 24.433 20.707 22.164 24.433 26.509 29.051 39.335 51.805 55.758 59.342 63.691 66.766 59.342 73.402 50 24.674 32.357 27.991 29.707 32.357 34.764 37.689 49.335 63.167 67.505 71.420 76.154 79.490 71.420 86.661 60 31.738 40.482 35.534 37.485 40.482 43.188 46.459 59.335 74.397 79.082 83.298 88.379 91.952 83.298 99.607 70 39.036 48.758 43.275 45.442 48.758 51.739 55.329 69.334 85.527 90.531 95.023 100.425 104.215 95.023 112.317 80 46.520 57.153 51.172 53.540 57.153 60.391 64.278 79.334 96.578 101.879 106.629 112.329 116.321 106.629 124.839 90 54.155 65.647 59.196 61.754 65.647 69.126 73.291 89.334 107.565 113.145 118.136 124.116 128.299 118.136 137.208 100 61.918 74.222 67.328 70.065 74.222 77.929 82.358 99.334 118.498 124.342 129.561 135.807 140.169 129.561 149.449
Π
α
v
α
χ
2
[image:26.595.47.546.28.396.2]α
53
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Perhitungan
(
)
307
,
18
05
,
0
2
2
2
=
=
>
Χ
α
α
χ
χ
P
α
χ
2
α
Variabel random
Χ
2
diketahui berdistribusi
khi
‐
kuadrat dengan derajat kebebasan
v
=
10.
Nilai
χ
2
α
agar
probabilitas di sebelah kanan
α
=
0,05?
α
v
54
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Hubungan Distribusi Gamma
dan
Khi
‐
kuadrat
X
∼
gamma
(
α
,
β
);
α
=
v
/2;
v
bulat;
β
=
2
55
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Hubungan Distribusi Normal
Baku,
Khi
‐
Kuadrat dan Gamma
Y
∼
khi
‐
kuadrat (
v
);
v
=
n
∑
=
=
n
i
i
X
Y
1
2
Y
∼
gamma
(
α
,
β
);
α
=
n
/2;
β
=
2
X
i
∼
normal
baku
56
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Weibull (1)
X
∼
Weibull (
α
,
β
)
Parameter:
α
,
β
>
0
Rataan:
Variansi:
⎟
⎠
⎞
⎜
⎝
⎛
Γ
=
α
α
β
μ
X
1
⎟
⎟
⎠
⎞
⎜
⎜
⎝
⎛
⎟
⎠
⎞
⎜
⎝
⎛
⎟
⎠
⎞
⎜
⎝
⎛
Γ
−
⎟
⎠
⎞
⎜
⎝
⎛
Γ
=
2
2
2
2
1
1
2
α
α
α
α
β
σ
X
( )
(
)
⎪⎩
⎪
⎨
⎧
>
=
−
−
−
lainnya
;
0
0
;
1
x
x
e
x
x
f
x
β
α
α
α
αβ
57
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Weibull (2)
Fungsi distribusi probabilitas kumulatif:
( )
(
)
⎪⎩
⎪
⎨
⎧
−
>
=
−
lainnya
;
0
0
;
1
x
x
e
x
F
x
β
α
58
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Weibull
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
α
=
0,5;
β
=
1
α
=
1;
β
=
1
59
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Berdistribusi Weibull
X
∼
Weibull (
α
,
β
)
(
)
(
)
∫
−
−
−
=
<
<
2
1
1
2
1
x
x
x
dx
e
x
x
X
x
P
αβ
α
α
β
α
60
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Hubungan Distribusi Weibull dan
Eksponensial
X
∼
Weibull (
α
,
β
)
X
∼
eksponensial (
β
)
61
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Distribusi Student
t
X
∼
student
t
(
v
)
Parameter:
v
>
0
Rataan:
Variansi:
0
=
X
μ
2
;
2
2
>
−
=
v
v
v
X
σ
( )
(
(
( )
)
)
(
)
∞
<
<
∞
⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
+
Γ
+
Γ
=
+
−
x
v
x
v
v
v
x
f
v
‐
;
1
2
2
1
1
2
1
2
π
v
:
derajat kebebasan
(
degree
of
freedom
)
Fungsi distribusi probabilitas:
62
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Contoh Kurva Distribusi Student
t
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
‐
5.00
‐
4.00
‐
3.00
‐
2.00
‐
1.00
0.00
1.00
2.00
3.00
4.00
5.00
x
f(x
)
v
=
2
v
=
5
63
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
Probabilitas dari Variabel Random
Berdistribusi Student
t
0
α
t
α
Simbol umum untuk variabel random
student
‐
t
Æ
T
(
)
( )
α
α
α
=
=
>
t
∫
∞
f
t
dt
T
P
t
T
∼
student
t
(
v
)
dengan fungsi distribusi probabilitas
f
(
t
)
α
α
t
t
1
−
=
−
Sifat simetris :
64
DISTRIBUSI
PROBABILITAS
KONTINYU
TEORITIS
Suprayogi,
2006
v
0.400
0.300
0.200
0.100
0.050
0.025
0.010
0.005
0.025
0.001
1
0.325
0.727
1.376
3.078
6.314
12.706
31.821
63.657
12.706
318.309
2
0.289
0.617
1.061
1.886
2.920
4.303
6.965
9.925
4.303
22.327
3
0.277
0.584
0.978
1.638
2.353
3.182
4.541
5.841
3.182
10.215
4
0.271
0.569
0.941
1.533
2.132
2.776
3.747
4.604
2.776
7.173
5
0.267
0.559
0.920
1.476
2.015
2.571
3.365
4.032
2.571
5.893
6
0.265
0.553
0.906
1.440
1.943
2.447
3.143
3.707
2.447
5.208
7
0.263
0.549
0.896
1.415
1.895
2.365
2.998
3.499
2.365
4.785
8
0.262
0.546
0.889
1.397
1.860
2.306
2.896
3.355
2.306
4.501
9
0.261
0.543
0.883
1.383
1.833
2.262
2.821
3.250
2.262
4.297
10
0.260
0.542
0.879
1.372
1.812
2.228
2.764
3.169
2.228
4.144
11
0.260
0.540
0.876
1.363
1.796
2.201
2.718
3.106
2.201
4.025
12
0.259
0.539
0.873
1.356
1.782
2.179
2.681
3.055
2.179
3.930
13
0.259
0.538
0.870
1.350
1.771
2.160
2.650
3.012
2.160
3.852
14
0.258
0.537
0.868
1.345
1.761
2.145
2.624
2.977
2.145
3.787
15
0.258
0.536
0.866
1.341
1.753
2.131
2.602
2.947
2.131
3.733
16
0.258
0.535
0.865
1.337
1.746
2.120
2.583
2.921
2.120
3.686
17
0.257
0.534
0.863
1.333
1.740
2.110
2.567
2.898
2.110
3.646
18
0.257
0.534
0.862
1.330
1.734
2.101
2.552
2.878
2.101
3.610
19
0.257
0.533
0.861
1.328
1.729
2.093
2.539
2.861
2.093
3.579
20
0.257
0.533
0.860
1.325
1.725
2.086
2.528
2.845
2.086
3.552
21
0.257
0.532
0.859
1.323
1.721
2.080
2.518
2.831
2.080
3.527
22
0.256
0.532
0.858
1.321
1.717
2.074
2.508
2.819
2.074
3.505
23
0.256
0.532
0.858
1.319
1.714
2.069
2.500
2.807
2.0
