LAMPIRAN 1 : KUESIONER PENELITIAN
KUESIONER
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MAHASISWA
DALAM KEPUTUSAN PEMBELIAN SMARTPHONE
Petunjuk pengisian :
1.
Isikan terlebih dahulu identitas diri anda.
2.
Jawablah 9 (sembilan) pernyataan/pertanyaan yang telah tersedia di kolom
bawah dengan memberi tanda ceklis (√). Cukup 1 (satu) kali pengisian
pada setiap pernyataan/pertanyaan.
3.
Ada 5 (lima) alternatif jawaban, yaitu:
Nilai 1 = STS (Sangat Tidak Setuju)
Nilai 2 = TS (Tidak Setuju)
Nilai 3 = KS (Kurang Setuju)
Nilai 4 = S
(Setuju)
Nilai 5 = SS (Sangat Setuju)
Berikan jawaban yang paling benar, sesuai dengan diri anda.
I.
IDENTITAS DIRI
Nama Responden :
Nim
:
Usia
:
Jenis Kelamin
: Laki-Laki / Perempuan
II.
TABEL PERNYATAAN
No
Pernyataan/Pertanyaan
STS
TS KS
S
SS
2
Smartphone
dengan desain yang tipis
masih menjadi pilihan saya.
3
Saya lebih memilih layar
smartphone
yang lebih besar seperti ukuran 5 inchi
ketimbang 4 inchi.
4
Kamera dengan kualitas yang bagus
selalu jadi bahan pertimbangan paling
utama disaat saya memilih
smartphone
.
5
Saya sangat menginginkan baterai
smartphone
saya yang lebih tahan lama,
walaupun sudah dipakai seharian.
6
Setujukah anda dengan
smartphone
keluaran terbaru sekarang yang
kebanyakan hanya memiliki internal
memori saja dan tidak didukung
eksternal memori, meskipun kapasitas
internal memorinya cukup besar seperti
16GB?
7
Smartphone
dengan merek yang terkenal
sudah pasti lebih bagus dibandingkan
dengan
smartphone
yang kurang
ternama.
8
Semua
smartphone
yang akan dirilis
tahun 2017 ini harus mendukung
jaringan internet 4G.
9
Harga yang ekonomis masih menjadi
pilihan pertama saya dalam membeli
LAMPIRAN 2 : DATA HASIL KUESIONER
No Responden X1 X2 X3 X4 X5 X6 X7 X8 X9
1 4 4 3 4 5 4 2 3 4
2 5 3 3 5 4 3 5 5 5
3 5 4 3 4 5 4 3 4 5
4 5 2 3 5 4 2 3 5 5
5 5 5 5 5 5 2 3 5 5
6 4 3 3 4 4 3 3 5 5
7 4 4 4 4 4 3 3 5 5
8 5 4 5 4 5 3 3 4 4
9 4 4 4 5 4 5 3 4 4
10 1 1 1 1 1 1 1 1 1
11 5 5 4 5 5 1 4 5 4
12 4 4 4 4 5 2 4 4 4
13 5 3 2 4 4 1 2 5 3
14 4 1 1 5 5 1 1 5 5
15 1 2 3 5 4 2 2 5 5
16 5 4 3 5 5 2 4 5 4
17 5 4 2 3 3 3 1 2 5
18 4 4 2 5 5 4 2 4 4
19 4 4 3 4 5 4 4 3 4
20 4 1 4 5 5 3 5 4 5
21 5 5 4 5 5 2 3 5 4
22 5 5 3 5 5 3 3 2 4
23 4 3 3 5 5 2 3 1 5
24 4 4 3 3 4 3 4 4 3
25 5 5 4 4 5 2 5 4 4
No Responden X1 X2 X3 X4 X5 X6 X7 X8 X9
27 5 5 5 4 5 4 5 5 4
28 4 3 3 5 5 4 2 3 4
29 5 5 5 5 5 1 5 5 5
30 4 4 3 5 5 1 4 4 4
31 4 4 4 4 5 4 4 3 5
32 5 4 4 5 3 3 3 5 4
33 5 4 4 4 5 4 2 4 4
34 5 4 3 5 5 3 3 4 5
35 5 5 4 5 5 3 4 5 4
36 5 3 3 5 5 4 4 5 4
37 5 4 4 4 5 4 3 3 4
38 5 4 5 4 5 4 3 5 5
39 3 4 3 3 5 3 3 3 3
40 4 4 4 4 4 2 2 4 4
41 5 5 5 5 5 4 5 5 5
42 4 2 2 5 5 5 2 5 4
43 4 4 5 5 5 3 4 5 5
44 4 1 5 5 5 1 3 4 5
45 5 5 1 5 5 4 5 5 5
46 5 5 4 5 5 3 2 4 4
47 4 5 5 4 4 3 3 1 5
48 4 4 3 5 5 2 2 3 4
49 5 5 5 5 3 3 4 5 4
50 5 5 4 3 5 2 4 4 4
51 5 5 5 5 5 4 3 5 5
52 5 3 2 2 5 5 3 3 3
53 5 4 3 4 4 4 4 3 4
No Responden X1 X2 X3 X4 X5 X6 X7 X8 X9
55 5 4 4 5 5 3 2 4 4
56 5 3 4 5 5 4 3 4 4
57 5 2 3 4 5 2 1 3 3
58 5 5 4 5 5 5 5 3 5
59 5 3 4 5 4 3 3 2 5
60 5 3 3 5 4 3 5 5 5
61 5 2 3 5 4 2 3 5 5
62 4 3 3 4 4 3 3 5 5
63 5 4 5 4 5 3 3 4 4
64 5 4 4 3 4 3 3 4 4
65 4 4 4 4 5 2 4 4 4
66 4 1 1 5 5 1 1 5 5
67 5 4 3 5 5 2 4 5 4
68 4 4 2 5 5 4 2 4 4
69 4 1 4 5 5 3 5 4 5
70 5 5 3 5 5 3 3 2 4
71 4 4 3 3 4 3 4 4 3
72 4 4 3 5 4 2 4 3 5
73 4 4 3 5 5 1 4 4 4
LAMPIRAN 3 : PENSKALAAN TIAP VARIABEL
Succesive Detail
Col
Category
Freq
Prop
Cum
Density
Z
Scale
1
1
2
0.027
0.027
0.063
-1.921
1.000
3
1
0.014
0.041
0.088
-1.738
1.479
4
29
0.397
0.438
0.394
-0.155
2.533
5
41
0.562
1.000
0.000
4.005
2
1
6
0.082
0.082
0.152
-1.390
1.000
2
5
0.068
0.151
0.234
-1.034
1.647
3
11
0.151
0.301
0.348
-0.520
2.086
4
34
0.466
0.767
0.306
0.729
2.938
5
17
0.233
1.000
0.000
4.159
3
1
5
0.068
0.068
0.132
-1.487
1.000
2
6
0.082
0.151
0.234
-1.034
1.689
3
28
0.384
0.534
0.397
0.086
2.501
4
22
0.301
0.836
0.248
0.977
3.425
5
12
0.164
1.000
0.000
8.210
4.434
4
1
1
0.014
0.014
0.035
-2.206
1.000
2
1
0.014
0.027
0.063
-1.921
1.507
3
6
0.082
0.110
0.188
-1.229
2.043
4
21
0.288
0.397
0.386
-0.260
2.868
5
44
0.603
1.000
0.000
4.197
5
1
1
0.014
0.014
0.035
-2.206
1.000
3
3
0.041
0.055
0.111
-1.600
1.710
4
19
0.260
0.315
0.355
-0.482
2.618
Col
Category
Freq
Prop
Cum
Density
Z
Scale
6
1
9
0.123
0.123
0.204
-1.159
1.000
2
17
0.233
0.356
0.373
-0.369
1.929
3
25
0.342
0.699
0.348
0.520
2.725
4
18
0.247
0.945
0.111
1.600
3.617
5
4
0.055
1.000
0.000
8.210
4.678
7
1
5
0.068
0.068
0.132
-1.487
1.000
2
12
0.164
0.233
0.306
-0.729
1.871
3
27
0.370
0.603
0.386
0.260
2.712
4
19
0.260
0.863
0.219
1.094
3.567
5
10
0.137
1.000
0.000
8.210
4.529
8
1
3
0.041
0.041
0.088
-1.738
1.000
2
4
0.055
0.096
0.170
-1.305
1.645
3
13
0.178
0.274
0.333
-0.601
2.229
4
24
0.329
0.603
0.386
0.260
2.983
5
29
0.397
1.000
0.000
4.114
9
1
1
0.014
0.014
0.035
-2.206
1.000
3
6
0.082
0.096
0.170
-1.305
1.912
4
35
0.479
0.575
0.392
0.190
3.094
LAMPIRAN 4 :
Transformasi Data Ordinal ke Data Interval
No
Succesive Interval
X1 X2 X3 X4 X5 X6 X7 X8 X9
No X1 X2 X3 X4 X5 X6 X7 X8 X9
No X1 X2 X3 X4 X5 X6 X7 X8 X9
LAMPIRAN 5 : HASIL OUTPUT SPSS UJI VALIDITAS
Correlations
X1 X2 X3 X4 X5 X6 X7 X8 X9 Y
X1 Pearson Correlation 1 .435** .280* .274* .366** .230* .276* .252* .234* .656**
Sig. (2-tailed) .000 .016 .019 .001 .050 .018 .031 .046 .000
Sum of Squares and
Cross-products 44.164 28.247 17.027 12.630 14.507 14.192 17.082 15.466 9.753 173.068
Covariance .613 .392 .236 .175 .201 .197 .237 .215 .135 2.404
N 73 73 73 73 73 73 73 73 73 73
X2 Pearson Correlation .435** 1 .403** .043 .211 .235* .342** -.003 -.006 .585**
Sig. (2-tailed) .000 .000 .715 .073 .045 .003 .978 .960 .000
Sum of Squares and
Cross-products 28.247 95.370 36.041 2.945 12.260 21.288 31.123 -.301 -.370 226.603
N 73 73 73 73 73 73 73 73 73 73
X3 Pearson Correlation .280* .403** 1 .133 .182 .067 .387** .112 .208 .593**
Sig. (2-tailed) .016 .000 .262 .123 .572 .001 .347 .077 .000
Sum of Squares and
Cross-products 17.027 36.041 83.671 8.438 9.918 5.699 33.014 9.411 11.959 215.178
Covariance .236 .501 1.162 .117 .138 .079 .459 .131 .166 2.989
N 73 73 73 73 73 73 73 73 73 73
X4 Pearson Correlation .274* .043 .133 1 .414** -.046 .190 .367** .599** .538**
Sig. (2-tailed) .019 .715 .262 .000 .702 .107 .001 .000 .000
Sum of Squares and
Cross-products 12.630 2.945 8.438 48.082 17.110 -2.932 12.315 23.452 26.055 148.096
Covariance .175 .041 .117 .668 .238 -.041 .171 .326 .362 2.057
N 73 73 73 73 73 73 73 73 73 73
X5 Pearson Correlation .366** .211 .182 .414** 1 .171 .194 .193 .261* .549**
Sum of Squares and
Cross-products 14.507 12.260 9.918 17.110 35.479 9.425 10.753 10.603 9.740 129.795
Covariance .201 .170 .138 .238 .493 .131 .149 .147 .135 1.803
N 73 73 73 73 73 73 73 73 73 73
X6 Pearson Correlation .230* .235* .067 -.046 .171 1 .105 -.060 .064 .384**
Sig. (2-tailed) .050 .045 .572 .702 .149 .376 .614 .592 .001
Sum of Squares and
Cross-products 14.192 21.288 5.699 -2.932 9.425 85.890 9.096 -5.123 3.712 141.247
Covariance .197 .296 .079 -.041 .131 1.193 .126 -.071 .052 1.962
N 73 73 73 73 73 73 73 73 73 73
X7 Pearson Correlation .276* .342** .387** .190 .194 .105 1 .235* .254* .636**
Sig. (2-tailed) .018 .003 .001 .107 .101 .376 .045 .030 .000
Sum of Squares and
Cross-products 17.082 31.123 33.014 12.315 10.753 9.096 87.041 20.233 14.877 235.534
N 73 73 73 73 73 73 73 73 73 73
X8 Pearson Correlation .252* -.003 .112 .367** .193 -.060 .235* 1 .265* .476**
Sig. (2-tailed) .031 .978 .347 .001 .102 .614 .045 .024 .000
Sum of Squares and
Cross-products 15.466 -.301 9.411 23.452 10.603 -5.123 20.233 84.986 15.301 174.027
Covariance .215 -.004 .131 .326 .147 -.071 .281 1.180 .213 2.417
N 73 73 73 73 73 73 73 73 73 73
X9 Pearson Correlation .234* -.006 .208 .599** .261* .064 .254* .265* 1 .524**
Sig. (2-tailed) .046 .960 .077 .000 .026 .592 .030 .024 .000
Sum of Squares and
Cross-products 9.753 -.370 11.959 26.055 9.740 3.712 14.877 15.301 39.370 130.397
Covariance .135 -.005 .166 .362 .135 .052 .207 .213 .547 1.811
N 73 73 73 73 73 73 73 73 73 73
Y Pearson Correlation .656** .585** .593** .538** .549** .384** .636** .476** .524** 1
Sum of Squares and
Cross-products 173.068 226.603 215.178 148.096 129.795 141.247 235.534 174.027 130.397 1573.945
Covariance 2.404 3.147 2.989 2.057 1.803 1.962 3.271 2.417 1.811 21.860
N 73 73 73 73 73 73 73 73 73 73
**. Correlation is significant at the 0.01 level (2-tailed).
LAMPIRAN 6: HASIL OUPUT SPSS UJI RELIABILITAS
Case Processing Summary
N %
Cases Valid 73 100.0
Excludeda 0 .0
Total 73 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha
Cronbach's
Alpha Based on
Standardized
Items N of Items
.693 .716 9
Item Statistics
Mean Std. Deviation N
X1
4.47 .783 73
X2
3.70 1.151 73
X3
3.41 1.078 73
X4
4.45 .817 73
X5
4.60 .702 73
X6
X5 .173 .200 .136 .275 1.000 .142 .136 .061 .031
X6 .191 .174 .055 -.075 .142 1.000 .106 -.086 .012
X7 .226 .350 .372 .168 .136 .106 1.000 .221 .226
X8 .260 .019 .104 .352 .061 -.086 .221 1.000 .252
X9 .069 -.055 .169 .484 .031 .012 .226 .252 1.000
Sig.
(1-tailed)
X1 .000 .014 .092 .071 .052 .027 .013 .280
X2 .000 .000 .396 .045 .071 .001 .436 .321
X3 .014 .000 .329 .125 .321 .001 .190 .076
X4 .092 .396 .329 .009 .265 .077 .001 .000
X5 .071 .045 .125 .009 .116 .125 .304 .396
X6 .052 .071 .321 .265 .116 .185 .234 .459
X7 .027 .001 .001 .077 .125 .185 .030 .027
X8 .013 .436 .190 .001 .304 .234 .030 .016
X9 .280 .321 .076 .000 .396 .459 .027 .016
LAMPIRAN 7: HASIL OUPUT SPSS ANALISIS FAKTOR
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .632
Bartlett's Test of Sphericity Approx. Chi-Square 101.928
df 36
Sig. .000
Anti-image Matrices
X1 X2 X3 X4 X5 X6 X7 X8 X9
Anti-image
Covariance
X1 .724 -.227 -.048 -.043 -.034 -.132 .004 -.187 .012
X2 -.227 .633 -.214 -.022 -.060 -.055 -.157 .085 .115
X3 -.048 -.214 .727 .078 -.054 .052 -.157 -.017 -.130
X4 -.043 -.022 .078 .628 -.221 .101 -.011 -.163 -.300
X5 -.034 -.060 -.054 -.221 .850 -.120 -.026 .034 .102
X6 -.132 -.055 .052 .101 -.120 .902 -.055 .096 -.072
X7 .004 -.157 -.157 -.011 -.026 -.055 .752 -.120 -.106
X8 -.187 .085 -.017 -.163 .034 .096 -.120 .784 -.044
X9 .012 .115 -.130 -.300 .102 -.072 -.106 -.044 .686
Anti-image
Correlation
X1 .687a -.336 -.067 -.063 -.043 -.163 .005 -.248 .016
X2 -.336 .636a -.316 -.036 -.081 -.072 -.228 .121 .174
X4 -.063 -.036 .116 .559a -.303 .135 -.016 -.232 -.458
X5 -.043 -.081 -.069 -.303 .590a -.137 -.032 .042 .133
X6 -.163 -.072 .064 .135 -.137 .538a -.066 .114 -.091
X7 .005 -.228 -.212 -.016 -.032 -.066 .759a -.156 -.148
X8 -.248 .121 -.022 -.232 .042 .114 -.156 .653a -.060
X9 .016 .174 -.185 -.458 .133 -.091 -.148 -.060 .543a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
X1 1.000 .454
X2 1.000 .677
X3 1.000 .601
X4 1.000 .737
X5 1.000 .615
X6 1.000 .495
X7 1.000 .516
X8 1.000 .464
X9 1.000 .562
Extraction Method: Principal
Total Variance Explained
Component
Initial Eigenvalues
Extraction Sums of Squared
Loadings
Rotation Sums of Squared
Loadings
Component Matrixa
Component
1 2 3
X1 .626 -.237 .076
X2 .606 -.546 -.108
X3 .609 -.277 -.392
X4 .508 .641 .263
X5 .423 -.054 .658
X6 .217 -.413 .527
X7 .653 -.081 -.287
X8 .467 .475 -.144
X9 .441 .605 -.034
Extraction Method: Principal Component
Analysis.
Rotated Component Matrixa
Component
1 2 3
X1 .557 .143 .352
X2 .766 -.138 .267
X3 .769 .074 -.061
X4 -.024 .827 .231
X5 .057 .219 .751
X6 .124 -.201 .663
X7 .666 .268 -.007
X8 .202 .643 -.100
X9 .072 .744 -.048
Extraction Method: Principal Component
Analysis. Rotation Method: Varimax with
Kaiser Normalization.a
a. Rotation converged in 5 iterations.
Component Transformation Matrix
Component 1 2 3
1 .767 .539 .347
2 -.463 .840 -.282
3 -.444 .055 .894
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser
Component Score Coefficient Matrix
Component
1 2 3
X1 .232 .018 .194
X2 .392 -.157 .089
X3 .435 -.031 -.198
X4 -.136 .459 .183
X5 -.129 .099 .627
X6 -.035 -.140 .549
X7 .349 .086 -.137
X8 .070 .342 -.138
X9 -.022 .410 -.072
Extraction Method: Principal Component
Analysis.
Rotation Method: Varimax with Kaiser
Normalization.
LAMPIRAN 8: UJI BARLETT PENDEKATAN STATISTIK CHI-SQUARE Untuk menguji apakah matriks korelasi sederhana bukan merupakan suatu matriks identitas maka digunakan uji barlett dengan pendekatan statistic chi square. Berikut ini langkah-langkah pengujiannya:
1. Hipotesis
H0 : Matriks korelasi sederhana merupakan matriks identitas
H1 : Matriks korelasi sederhana bukan merupakan matriks identitas
2. Statistik uji
= − [ − − + ] ln | |
3. Taraf nyata α dan nilai χ² daritabel diperoleh:
α = 10% = 0,1 dengan df = −
=
−=
χ² tabel = 47,212
4. Kriteria pengujian:
H0ditolak apabila χ² hitung≥ χ² tabel
H0diterima apabila χ² hitung< χ² tabel
5. Perhitungan χ² Determinan = 0,224
= − [ − − + ] ln | , |
= −[ − , ] − ,
= ,
6. Kesimpulan
χ² hitung= 101,984 > χ² tabel = 47,212 maka H0 ditolak.
LAMPIRAN 9:
Tabel r
Nilai Koefisien Korelasi (r) untuk taraf signifikan tertentu
df (n-2) 0.10 0.05 0.02 0.01
1 0.9877 0.9969 0.9995 0.9999
2 0.9000 0.9500 0.9800 0.9900
3 0.8054 0.8783 0.9343 0.9587
4 0.7293 0.8114 0.8822 0.9172
5 0.6694 0.7545 0.8329 0.8745
6 0.6215 0.7067 0.7887 0.8343
7 0.5822 0.6664 0.7498 0.7977
8 0.5494 0.6319 0.7155 0.7646
9 0.5214 0.6021 0.6851 0.7348
10 0.4973 0.5760 0.6581 0.7079
11 0.4762 0.5529 0.6339 0.6835
12 0.4575 0.5324 0.6120 0.6614
13 0.4409 0.5140 0.5923 0.6411
14 0.4259 0.4973 0.5742 0.6226
15 0.4124 0.4821 0.5577 0.6055
16 0.4000 0.4683 0.5425 0.5897
17 0.3887 0.4555 0.5285 0.5751
18 0.3783 0.4438 0.5155 0.5614
19 0.3687 0.4329 0.5034 0.5487
20 0.3598 0.4227 0.4921 0.5368
21 0.3515 0.4132 0.4815 0.5256
22 0.3438 0.4044 0.4716 0.5151
23 0.3365 0.3961 0.4622 0.5052
25 0.3233 0.3809 0.4451 0.4869
26 0.3172 0.3739 0.4372 0.4785
27 0.3115 0.3673 0.4297 0.4705
28 0.3061 0.3610 0.4226 0.4629
29 0.3009 0.3550 0.4158 0.4556
30 0.2960 0.3494 0.4093 0.4487
31 0.2913 0.3440 0.4032 0.4421
32 0.2869 0.3388 0.3972 0.4357
33 0.2826 0.3338 0.3916 0.4296
34 0.2785 0.3291 0.3862 0.4238
35 0.2746 0.3246 0.3810 0.4182
36 0.2709 0.3202 0.3760 0.4128
37 0.2673 0.3160 0.3712 0.4076
38 0.2638 0.3120 0.3665 0.4026
39 0.2605 0.3081 0.3621 0.3978
40 0.2573 0.3044 0.3578 0.3932
41 0.2542 0.3008 0.3536 0.3887
42 0.2512 0.2973 0.3496 0.3843
43 0.2483 0.2940 0.3457 0.3801
44 0.2455 0.2907 0.3420 0.3761
45 0.2429 0.2876 0.3384 0.3721
46 0.2403 0.2845 0.3348 0.3683
47 0.2377 0.2816 0.3314 0.3646
48 0.2353 0.2787 0.3281 0.3610
49 0.2329 0.2759 0.3249 0.3575
50 0.2306 0.2732 0.3218 0.3542
51 0.2284 0.2706 0.3188 0.3509
53 0.2241 0.2656 0.3129 0.3445
54 0.2221 0.2632 0.3102 0.3415
55 0.2201 0.2609 0.3074 0.3385
56 0.2181 0.2586 0.3048 0.3357
57 0.2162 0.2564 0.3022 0.3328
58 0.2144 0.2542 0.2997 0.3301
59 0.2126 0.2521 0.2972 0.3274
60 0.2108 0.2500 0.2948 0.3248
61 0.2091 0.2480 0.2925 0.3223
62 0.2075 0.2461 0.2902 0.3198
63 0.2058 0.2441 0.2880 0.3173
64 0.2042 0.2423 0.2858 0.3150
65 0.2027 0.2404 0.2837 0.3126
66 0.2012 0.2387 0.2816 0.3104
67 0.1997 0.2369 0.2796 0.3081
68 0.1982 0.2352 0.2776 0.3060
69 0.1968 0.2335 0.2756 0.3038
70 0.1954 0.2319 0.2737 0.3017
71 0.1940 0.2303 0.2718 0.2997
72 0.1927 0.2287 0.2700 0.2977
73 0.1914 0.2272 0.2682 0.2957
74 0.1901 0.2257 0.2664 0.2938
75 0.1888 0.2242 0.2647 0.2919
76 0.1876 0.2227 0.2630 0.2900
77 0.1864 0.2213 0.2613 0.2882
78 0.1852 0.2199 0.2597 0.2864
79 0.1841 0.2185 0.2581 0.2847
81 0.1818 0.2159 0.2550 0.2813
82 0.1807 0.2146 0.2535 0.2796
83 0.1796 0.2133 0.2520 0.2780
84 0.1786 0.2120 0.2505 0.2764
85 0.1775 0.2108 0.2491 0.2748
86 0.1765 0.2096 0.2477 0.2732
87 0.1755 0.2084 0.2463 0.2717
88 0.1745 0.2072 0.2449 0.2702
89 0.1735 0.2061 0.2435 0.2687
90 0.1726 0.2050 0.2422 0.2673
91 0.1716 0.2039 0.2409 0.2659
92 0.1707 0.2028 0.2396 0.2645
93 0.1698 0.2017 0.2384 0.2631
94 0.1689 0.2006 0.2371 0.2617
95 0.1680 0.1996 0.2359 0.2604
96 0.1671 0.1986 0.2347 0.2591
97 0.1663 0.1975 0.2335 0.2578
98 0.1654 0.1966 0.2324 0.2565
99 0.1646 0.1956 0.2312 0.2552
100 0.1638 0.1946 0.2301 0.2540
1000 0.0519 0.0619 0.0734 0.0812
