The numbers in this table were generated by a random process and have no
pattern or order to ... mainly in the selection of random samples (see Chapter 6).
Figure B.1 Mollier Diagram for Steam (two parts). Figure B.2
TemperatureœEntropy Diagram for Steam. Figure B.3 PressureœEnthalpy
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Appendix Table. Characteristics of cancer patients with suspected β-herpesvirus infection on the basis of DNAemia and clinical signs and symptoms*. Viral load ...
The Cancer Genome Atlas (TCGA) prostate cancer dataset was .... was carried out using the DESeq workflow (Anders & Huber, 2010). The raw and normalized ...
expressed as the concentration of IgG in ng/ml able to neutralize 90% of viral infectivity (IC90) and the reactivity of the antibodies in western blot (WB) under non-.
layer thermal resistance. Ratio of the internal species transfer ... Dimensionless surface shear stress py? 12 ... force used in free settling velocities and resistance ...
read counts across the time series (replicates averaged per time point) for each ... Appendix Figure S6 â Correlation of TT-seq signal for closest eRNAs with their.
RBPJ and L3MBTL3 co-localize at two distal HES1 enhancers. ChIP analyses of endogenous RBPJ and L3MBTL3 in U87-MG cells were performed for two ...
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percent bootstrap values. Accession numbers of respective sequences are listed in Table. S1. Alphabets A, B, and C indicate subclades of Marseilleviridae, ...
The strategies in this appendix are not new. Recent research on ... strategies can
be used at anytime, for convenience they have been ..... Inside-Outside Circle.
The following text samples primarily serve to exemplify the level of complexity
and quality that the. Standards ... After identifying texts of appropriate complexity
and quality, the work group applied ... technical subjects, with the ELA texts
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APPENDIX B. AN EXPLANATION FOR DIFFERENCES IN REPORTED
RESULTS BETWEEN THE. PRESENT STUDY AND THOSE OF KERLINGER
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table. The researcher can use the list of random numbers to draw a simple
random ... one procedure for using Table B.1 to select a simple random sample: 1
.
Appendix B: Table of Random Numbers
❖
How to Use the Table of Random Numbers The numbers in Table B.1 have been randomly generated by computer so that each number and each combination of numbers has an equal chance of appearing in the table. The researcher can use the list of random numbers to draw a simple random sample from a population. First, however, each element in the population from which the sample is to be drawn must be assigned a unique number. This is usually done by numbering the elements in the population consecutively. If there were 280 elements in the population, for example, they would be numbered 001, 002, 003, . . . , 280. Here is one procedure for using Table B.1 to select a simple random sample: 1. Determine a starting point in the table by closing your eyes and placing the point of your pencil somewhere in the table. 2. Using the starting point you have selected, begin reading the numbers in the table either across the rows or down the columns. If your population consisted of 99 or fewer elements, read the numbers in two-digit units; for 999 or fewer elements in the population, read the numbers in three-digit units, and so forth. If a table number is larger than the number of elements in the population (e.g., if the table number is 323 and the your population is 286), skip that number and read the next. If you come to a number equivalent to one you have already drawn, you can either skip the number and read the next one or count the data for that unit of analysis twice. Continue until you have selected as many valid numbers as there are elements in your desired sample. 3. The population elements that comprise the simple random sample are those whose numbers correspond to the numbers read from the table.
Appendix B: Table of Random Numbers ❖ 9
Table B.1 List of Random Numbers 11805
26316
36130
72714
27162
53798
66223
30061
13563
54828
14027
08593
86968
95905
52891
28607
99101
22303
50520
95572
38547
13770
52858
84369
33254
63317
65118
03482
57702
23757
27398
19570
61450
41899
19261
68622
98554
07116
75341
96538
01648
75908
53730
48420
98608
57619
82490
74605
78133
67807
84213
83004
00250
73800
28970
26441
77854
25573
46711
96741
68696
44733
05941
08194
84841
21762
55986
67660
07426
91523
32494
06751
02201
52567
89055
57490
55146
73035
56771
31495
91697
68418
12788
99723
34857
25747
37272
14363
32062
72895
31560
70952
74042
16372
55152
38200
43864
46432
64863
67563
25236
92827
61430
72439
81076
43783
26124
70269
21758
04868
69379
59828
76701
09757
40419
44336
68973
01784
09980
35675
56793
68672
51732
50831
16348
05572
15869
65918
93576
57505
91221
22556
20495
48881
92896 (Continued)
10 ❖ STATISTICS FOR CRIMINAL JUSTICE AND CRIMINOLOGY
Table B.1 List of Random Numbers (Continued) 93289
57606
44655
52074
43890
36826
78857
42367
61222
91588
82311
20013
79016
42047
74945
05418
00962
01510
25556
48577
17093
63850
42949
92775
83637
17228
41093
14655
31509
84864
58404
74622
02194
10688
79856
26755
55576
28115
55501
37025
99277
41277
65281
31048
31185
05372
16764
25265
57526
64707
10275
27829
78222
30479
55728
38277
95115
98996
79178
58105
81728
69680
06509
56831
51192
50352
66593
69338
07960
99411
92625
07337
30948
09456
19121
58247
04001
00599
33094
70302
42028
59691
83109
51317
86211
90181
06951
41082
01135
61973
95880
25087
94319
10450
82572
93210
34949
15575
34560
04589
52513
37099
48804
61642
20111
12315
36592
04971
00556
65335
01413
25163
21487
47119
99682
17934
77862
49489
73593
39933
17043
22264
34097
14201
49308
35371
98701
09595
47201
15108
31358
34890
25959
03526
49036
26791
26979
85278
40612
48973 (Continued)
Appendix B: Table of Random Numbers ❖ 11
Table B.1 List of Random Numbers (Continued) 82311
60301
48100
14313
22570
35208
90923
14046
40646
93067
81401
21608
01768
56646
18168
64730
22009
84419
32738
47953
03805
35936
15364
19143
57613
38849
54269
53821
47811
44106
73996
42503
62356
12631
50452
30758
89897
94253
71272
26652
08222
76753
04336
75918
45037
38611
05163
63154
18262
22888
22960
78799
32227
29195
06750
93725
91389
10851
91575
97765
18079
38119
78745
88786
12134
56204
06838
07600
34684
35518
36092
00478
36260
16910
25925
04231
14492
92580
31507
62353
22941
27077
93599
85948
67835
23085
99884
65049
02944
09276
75295
58425
25160
94823
46768
23915
75472
81485
10381
12465
95476
87922
06504
40536
11267
94929
01637
08543
77226
15286
17797
09714
19817
52154
01887
26171
86969
94344
41203
75834
22095
55143
42808
85581
37355
Source: The RAND Corporation from A Million Random Digits With 100,000 Normal Deviates (Santa Monica, CA: RAND, 2001), p. 59.
