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Author's title

Author

*Unverified author*

R Software Module

rwasp_rngnorm.wasp

Title produced by software

Random Number Generator - Normal Distribution

Date of computation

Tue, 19 Feb 2019 21:51:03 +0100

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2019/Feb/19/t1550609512y3cc6q68ai28bqv.htm/, Retrieved Sat, 04 May 2024 12:20:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=318732, Retrieved Sat, 04 May 2024 12:20:43 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

121

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Random Number Generator - Normal Distribution] [Random Number Test!] [2019-02-19 20:51:03] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time5 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318732&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

5 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=318732&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318732&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	Big Analytics Cloud Computing Center

Index	Value
1	203.11477779199
2	543.984993736186
3	441.662561999902
4	149.39902019112
5	374.741404180477
6	391.960691185595
7	528.091656868382
8	287.967796650702
9	273.773804950729
10	405.658135317566
11	439.888882190728
12	269.83001418239
13	409.955514005165
14	245.227606556097
15	226.559456730948
16	165.536093637801
17	442.244256248708
18	244.784279153237
19	587.007329699321
20	546.112427829374
21	87.5437273996763
22	92.6687924505114
23	328.738153837847
24	198.541162137842
25	449.835250347167
26	409.431653888224
27	529.715988434348
28	438.671094377396
29	274.118672906565
30	351.689895423519
31	364.537169417032
32	354.862669513531
33	325.014158800906
34	301.427872158787
35	373.549383554306
36	369.595500837645
37	339.727501961889
38	210.91888234182
39	92.4345700775371
40	385.265125165925
41	245.203207094469
42	432.869010781865
43	295.047471672116
44	6.01800816469597
45	350.216566045538
46	248.226246237523
47	243.438451086369
48	240.352485412552
49	209.837871410528
50	539.216137685522
51	137.268387258173
52	258.356724259598
53	370.534832792334
54	279.420037196773
55	419.268450138898
56	177.388754083789
57	307.608642466835
58	432.828732304795
59	255.855076242129
60	331.353558147184
61	341.478094025686
62	233.409854655244
63	-27.6605737649076
64	300.994005277799
65	158.494635499697
66	418.666940056494
67	174.451937978811
68	597.758979811695
69	264.092446147448
70	220.256909472661
71	332.901866921773
72	227.175013953685
73	336.172813498144
74	220.009020499244
75	350.670783925633
76	282.598921924053
77	216.186868529919
78	572.244737735043
79	136.751787106477
80	388.192909631528
81	431.411399291788
82	489.889823104843
83	-7.28166875417548
84	48.0539252415282
85	414.88066925989
86	324.419424758668
87	449.880770802469
88	300.395104160455
89	152.310439313374
90	537.67509067583
91	363.138645249173
92	378.633922020739
93	421.391407626215
94	322.281307967769
95	563.423257345804
96	206.239101740051
97	412.115739369503
98	535.202148264942
99	364.151748357931
100	164.583971174535
101	267.539193047356
102	281.549852988613
103	327.864279614846
104	215.564072112692
105	519.149466011648
106	374.222153632147
107	426.254529601857
108	131.649053906444
109	215.138337796039
110	297.697413086928
111	240.812864035437
112	162.156094467734
113	467.348676023969
114	234.731182710671
115	344.058259341698
116	157.439839961781
117	290.196820512091
118	175.449396254882
119	281.563050365761
120	345.198993026702
121	123.642567514912
122	202.880444277391
123	341.47702087531
124	343.964929684665
125	322.839437285518
126	421.958024403458
127	212.059887386202
128	332.534164892179
129	272.731816512144
130	571.517237300598
131	300.703308313749
132	262.72104230485
133	514.342477100688
134	159.386825670783
135	325.778035265736
136	252.055525680193
137	272.361839621896
138	313.050425736037
139	117.657586054889
140	309.373210702957
141	392.862277764553
142	144.863600455392
143	462.356986134679
144	291.960513683398
145	431.010271298893
146	315.375834236513
147	340.789464898147
148	324.134583416015
149	441.894904253683
150	231.552934498716
151	335.332290129791
152	672.214597783106
153	311.211185297839
154	85.2904160430584
155	351.23853149589
156	42.4494319019503
157	505.738318786028
158	506.868757635969
159	526.667590353283
160	457.538340544501
161	103.431520794006
162	410.571926867801
163	115.994733086229
164	84.3189429516237
165	251.189409826166
166	294.02704939688
167	424.396001717733
168	135.609999032277
169	194.318008288471
170	152.056250548496
171	211.189514535909
172	566.096043390086
173	362.392908717652
174	293.450088630162
175	77.8321245492554
176	428.459543383416
177	20.9887060583105
178	331.729501460678
179	234.711711126258
180	220.999803843649
181	522.2818626045
182	247.695669392767
183	436.791138689363
184	467.52379458154
185	591.766267363785
186	490.875914964365
187	75.1064007067146
188	68.8045784516662
189	263.086949052168
190	157.334256685648
191	443.408216958149
192	367.539319135833
193	253.882978249684
194	171.332620831372
195	200.935237392567
196	497.110235888186
197	264.576648917631
198	361.631165380821
199	277.287221465006
200	270.254200973734

\begin{tabular}{lllllllll}
\hline
Index & Value \tabularnewline
1 & 203.11477779199 \tabularnewline
2 & 543.984993736186 \tabularnewline
3 & 441.662561999902 \tabularnewline
4 & 149.39902019112 \tabularnewline
5 & 374.741404180477 \tabularnewline
6 & 391.960691185595 \tabularnewline
7 & 528.091656868382 \tabularnewline
8 & 287.967796650702 \tabularnewline
9 & 273.773804950729 \tabularnewline
10 & 405.658135317566 \tabularnewline
11 & 439.888882190728 \tabularnewline
12 & 269.83001418239 \tabularnewline
13 & 409.955514005165 \tabularnewline
14 & 245.227606556097 \tabularnewline
15 & 226.559456730948 \tabularnewline
16 & 165.536093637801 \tabularnewline
17 & 442.244256248708 \tabularnewline
18 & 244.784279153237 \tabularnewline
19 & 587.007329699321 \tabularnewline
20 & 546.112427829374 \tabularnewline
21 & 87.5437273996763 \tabularnewline
22 & 92.6687924505114 \tabularnewline
23 & 328.738153837847 \tabularnewline
24 & 198.541162137842 \tabularnewline
25 & 449.835250347167 \tabularnewline
26 & 409.431653888224 \tabularnewline
27 & 529.715988434348 \tabularnewline
28 & 438.671094377396 \tabularnewline
29 & 274.118672906565 \tabularnewline
30 & 351.689895423519 \tabularnewline
31 & 364.537169417032 \tabularnewline
32 & 354.862669513531 \tabularnewline
33 & 325.014158800906 \tabularnewline
34 & 301.427872158787 \tabularnewline
35 & 373.549383554306 \tabularnewline
36 & 369.595500837645 \tabularnewline
37 & 339.727501961889 \tabularnewline
38 & 210.91888234182 \tabularnewline
39 & 92.4345700775371 \tabularnewline
40 & 385.265125165925 \tabularnewline
41 & 245.203207094469 \tabularnewline
42 & 432.869010781865 \tabularnewline
43 & 295.047471672116 \tabularnewline
44 & 6.01800816469597 \tabularnewline
45 & 350.216566045538 \tabularnewline
46 & 248.226246237523 \tabularnewline
47 & 243.438451086369 \tabularnewline
48 & 240.352485412552 \tabularnewline
49 & 209.837871410528 \tabularnewline
50 & 539.216137685522 \tabularnewline
51 & 137.268387258173 \tabularnewline
52 & 258.356724259598 \tabularnewline
53 & 370.534832792334 \tabularnewline
54 & 279.420037196773 \tabularnewline
55 & 419.268450138898 \tabularnewline
56 & 177.388754083789 \tabularnewline
57 & 307.608642466835 \tabularnewline
58 & 432.828732304795 \tabularnewline
59 & 255.855076242129 \tabularnewline
60 & 331.353558147184 \tabularnewline
61 & 341.478094025686 \tabularnewline
62 & 233.409854655244 \tabularnewline
63 & -27.6605737649076 \tabularnewline
64 & 300.994005277799 \tabularnewline
65 & 158.494635499697 \tabularnewline
66 & 418.666940056494 \tabularnewline
67 & 174.451937978811 \tabularnewline
68 & 597.758979811695 \tabularnewline
69 & 264.092446147448 \tabularnewline
70 & 220.256909472661 \tabularnewline
71 & 332.901866921773 \tabularnewline
72 & 227.175013953685 \tabularnewline
73 & 336.172813498144 \tabularnewline
74 & 220.009020499244 \tabularnewline
75 & 350.670783925633 \tabularnewline
76 & 282.598921924053 \tabularnewline
77 & 216.186868529919 \tabularnewline
78 & 572.244737735043 \tabularnewline
79 & 136.751787106477 \tabularnewline
80 & 388.192909631528 \tabularnewline
81 & 431.411399291788 \tabularnewline
82 & 489.889823104843 \tabularnewline
83 & -7.28166875417548 \tabularnewline
84 & 48.0539252415282 \tabularnewline
85 & 414.88066925989 \tabularnewline
86 & 324.419424758668 \tabularnewline
87 & 449.880770802469 \tabularnewline
88 & 300.395104160455 \tabularnewline
89 & 152.310439313374 \tabularnewline
90 & 537.67509067583 \tabularnewline
91 & 363.138645249173 \tabularnewline
92 & 378.633922020739 \tabularnewline
93 & 421.391407626215 \tabularnewline
94 & 322.281307967769 \tabularnewline
95 & 563.423257345804 \tabularnewline
96 & 206.239101740051 \tabularnewline
97 & 412.115739369503 \tabularnewline
98 & 535.202148264942 \tabularnewline
99 & 364.151748357931 \tabularnewline
100 & 164.583971174535 \tabularnewline
101 & 267.539193047356 \tabularnewline
102 & 281.549852988613 \tabularnewline
103 & 327.864279614846 \tabularnewline
104 & 215.564072112692 \tabularnewline
105 & 519.149466011648 \tabularnewline
106 & 374.222153632147 \tabularnewline
107 & 426.254529601857 \tabularnewline
108 & 131.649053906444 \tabularnewline
109 & 215.138337796039 \tabularnewline
110 & 297.697413086928 \tabularnewline
111 & 240.812864035437 \tabularnewline
112 & 162.156094467734 \tabularnewline
113 & 467.348676023969 \tabularnewline
114 & 234.731182710671 \tabularnewline
115 & 344.058259341698 \tabularnewline
116 & 157.439839961781 \tabularnewline
117 & 290.196820512091 \tabularnewline
118 & 175.449396254882 \tabularnewline
119 & 281.563050365761 \tabularnewline
120 & 345.198993026702 \tabularnewline
121 & 123.642567514912 \tabularnewline
122 & 202.880444277391 \tabularnewline
123 & 341.47702087531 \tabularnewline
124 & 343.964929684665 \tabularnewline
125 & 322.839437285518 \tabularnewline
126 & 421.958024403458 \tabularnewline
127 & 212.059887386202 \tabularnewline
128 & 332.534164892179 \tabularnewline
129 & 272.731816512144 \tabularnewline
130 & 571.517237300598 \tabularnewline
131 & 300.703308313749 \tabularnewline
132 & 262.72104230485 \tabularnewline
133 & 514.342477100688 \tabularnewline
134 & 159.386825670783 \tabularnewline
135 & 325.778035265736 \tabularnewline
136 & 252.055525680193 \tabularnewline
137 & 272.361839621896 \tabularnewline
138 & 313.050425736037 \tabularnewline
139 & 117.657586054889 \tabularnewline
140 & 309.373210702957 \tabularnewline
141 & 392.862277764553 \tabularnewline
142 & 144.863600455392 \tabularnewline
143 & 462.356986134679 \tabularnewline
144 & 291.960513683398 \tabularnewline
145 & 431.010271298893 \tabularnewline
146 & 315.375834236513 \tabularnewline
147 & 340.789464898147 \tabularnewline
148 & 324.134583416015 \tabularnewline
149 & 441.894904253683 \tabularnewline
150 & 231.552934498716 \tabularnewline
151 & 335.332290129791 \tabularnewline
152 & 672.214597783106 \tabularnewline
153 & 311.211185297839 \tabularnewline
154 & 85.2904160430584 \tabularnewline
155 & 351.23853149589 \tabularnewline
156 & 42.4494319019503 \tabularnewline
157 & 505.738318786028 \tabularnewline
158 & 506.868757635969 \tabularnewline
159 & 526.667590353283 \tabularnewline
160 & 457.538340544501 \tabularnewline
161 & 103.431520794006 \tabularnewline
162 & 410.571926867801 \tabularnewline
163 & 115.994733086229 \tabularnewline
164 & 84.3189429516237 \tabularnewline
165 & 251.189409826166 \tabularnewline
166 & 294.02704939688 \tabularnewline
167 & 424.396001717733 \tabularnewline
168 & 135.609999032277 \tabularnewline
169 & 194.318008288471 \tabularnewline
170 & 152.056250548496 \tabularnewline
171 & 211.189514535909 \tabularnewline
172 & 566.096043390086 \tabularnewline
173 & 362.392908717652 \tabularnewline
174 & 293.450088630162 \tabularnewline
175 & 77.8321245492554 \tabularnewline
176 & 428.459543383416 \tabularnewline
177 & 20.9887060583105 \tabularnewline
178 & 331.729501460678 \tabularnewline
179 & 234.711711126258 \tabularnewline
180 & 220.999803843649 \tabularnewline
181 & 522.2818626045 \tabularnewline
182 & 247.695669392767 \tabularnewline
183 & 436.791138689363 \tabularnewline
184 & 467.52379458154 \tabularnewline
185 & 591.766267363785 \tabularnewline
186 & 490.875914964365 \tabularnewline
187 & 75.1064007067146 \tabularnewline
188 & 68.8045784516662 \tabularnewline
189 & 263.086949052168 \tabularnewline
190 & 157.334256685648 \tabularnewline
191 & 443.408216958149 \tabularnewline
192 & 367.539319135833 \tabularnewline
193 & 253.882978249684 \tabularnewline
194 & 171.332620831372 \tabularnewline
195 & 200.935237392567 \tabularnewline
196 & 497.110235888186 \tabularnewline
197 & 264.576648917631 \tabularnewline
198 & 361.631165380821 \tabularnewline
199 & 277.287221465006 \tabularnewline
200 & 270.254200973734 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318732&T=1

[TABLE]
[ROW][C]Index[/C][C]Value[/C][/ROW]
[ROW][C]1[/C][C]203.11477779199[/C][/ROW]
[ROW][C]2[/C][C]543.984993736186[/C][/ROW]
[ROW][C]3[/C][C]441.662561999902[/C][/ROW]
[ROW][C]4[/C][C]149.39902019112[/C][/ROW]
[ROW][C]5[/C][C]374.741404180477[/C][/ROW]
[ROW][C]6[/C][C]391.960691185595[/C][/ROW]
[ROW][C]7[/C][C]528.091656868382[/C][/ROW]
[ROW][C]8[/C][C]287.967796650702[/C][/ROW]
[ROW][C]9[/C][C]273.773804950729[/C][/ROW]
[ROW][C]10[/C][C]405.658135317566[/C][/ROW]
[ROW][C]11[/C][C]439.888882190728[/C][/ROW]
[ROW][C]12[/C][C]269.83001418239[/C][/ROW]
[ROW][C]13[/C][C]409.955514005165[/C][/ROW]
[ROW][C]14[/C][C]245.227606556097[/C][/ROW]
[ROW][C]15[/C][C]226.559456730948[/C][/ROW]
[ROW][C]16[/C][C]165.536093637801[/C][/ROW]
[ROW][C]17[/C][C]442.244256248708[/C][/ROW]
[ROW][C]18[/C][C]244.784279153237[/C][/ROW]
[ROW][C]19[/C][C]587.007329699321[/C][/ROW]
[ROW][C]20[/C][C]546.112427829374[/C][/ROW]
[ROW][C]21[/C][C]87.5437273996763[/C][/ROW]
[ROW][C]22[/C][C]92.6687924505114[/C][/ROW]
[ROW][C]23[/C][C]328.738153837847[/C][/ROW]
[ROW][C]24[/C][C]198.541162137842[/C][/ROW]
[ROW][C]25[/C][C]449.835250347167[/C][/ROW]
[ROW][C]26[/C][C]409.431653888224[/C][/ROW]
[ROW][C]27[/C][C]529.715988434348[/C][/ROW]
[ROW][C]28[/C][C]438.671094377396[/C][/ROW]
[ROW][C]29[/C][C]274.118672906565[/C][/ROW]
[ROW][C]30[/C][C]351.689895423519[/C][/ROW]
[ROW][C]31[/C][C]364.537169417032[/C][/ROW]
[ROW][C]32[/C][C]354.862669513531[/C][/ROW]
[ROW][C]33[/C][C]325.014158800906[/C][/ROW]
[ROW][C]34[/C][C]301.427872158787[/C][/ROW]
[ROW][C]35[/C][C]373.549383554306[/C][/ROW]
[ROW][C]36[/C][C]369.595500837645[/C][/ROW]
[ROW][C]37[/C][C]339.727501961889[/C][/ROW]
[ROW][C]38[/C][C]210.91888234182[/C][/ROW]
[ROW][C]39[/C][C]92.4345700775371[/C][/ROW]
[ROW][C]40[/C][C]385.265125165925[/C][/ROW]
[ROW][C]41[/C][C]245.203207094469[/C][/ROW]
[ROW][C]42[/C][C]432.869010781865[/C][/ROW]
[ROW][C]43[/C][C]295.047471672116[/C][/ROW]
[ROW][C]44[/C][C]6.01800816469597[/C][/ROW]
[ROW][C]45[/C][C]350.216566045538[/C][/ROW]
[ROW][C]46[/C][C]248.226246237523[/C][/ROW]
[ROW][C]47[/C][C]243.438451086369[/C][/ROW]
[ROW][C]48[/C][C]240.352485412552[/C][/ROW]
[ROW][C]49[/C][C]209.837871410528[/C][/ROW]
[ROW][C]50[/C][C]539.216137685522[/C][/ROW]
[ROW][C]51[/C][C]137.268387258173[/C][/ROW]
[ROW][C]52[/C][C]258.356724259598[/C][/ROW]
[ROW][C]53[/C][C]370.534832792334[/C][/ROW]
[ROW][C]54[/C][C]279.420037196773[/C][/ROW]
[ROW][C]55[/C][C]419.268450138898[/C][/ROW]
[ROW][C]56[/C][C]177.388754083789[/C][/ROW]
[ROW][C]57[/C][C]307.608642466835[/C][/ROW]
[ROW][C]58[/C][C]432.828732304795[/C][/ROW]
[ROW][C]59[/C][C]255.855076242129[/C][/ROW]
[ROW][C]60[/C][C]331.353558147184[/C][/ROW]
[ROW][C]61[/C][C]341.478094025686[/C][/ROW]
[ROW][C]62[/C][C]233.409854655244[/C][/ROW]
[ROW][C]63[/C][C]-27.6605737649076[/C][/ROW]
[ROW][C]64[/C][C]300.994005277799[/C][/ROW]
[ROW][C]65[/C][C]158.494635499697[/C][/ROW]
[ROW][C]66[/C][C]418.666940056494[/C][/ROW]
[ROW][C]67[/C][C]174.451937978811[/C][/ROW]
[ROW][C]68[/C][C]597.758979811695[/C][/ROW]
[ROW][C]69[/C][C]264.092446147448[/C][/ROW]
[ROW][C]70[/C][C]220.256909472661[/C][/ROW]
[ROW][C]71[/C][C]332.901866921773[/C][/ROW]
[ROW][C]72[/C][C]227.175013953685[/C][/ROW]
[ROW][C]73[/C][C]336.172813498144[/C][/ROW]
[ROW][C]74[/C][C]220.009020499244[/C][/ROW]
[ROW][C]75[/C][C]350.670783925633[/C][/ROW]
[ROW][C]76[/C][C]282.598921924053[/C][/ROW]
[ROW][C]77[/C][C]216.186868529919[/C][/ROW]
[ROW][C]78[/C][C]572.244737735043[/C][/ROW]
[ROW][C]79[/C][C]136.751787106477[/C][/ROW]
[ROW][C]80[/C][C]388.192909631528[/C][/ROW]
[ROW][C]81[/C][C]431.411399291788[/C][/ROW]
[ROW][C]82[/C][C]489.889823104843[/C][/ROW]
[ROW][C]83[/C][C]-7.28166875417548[/C][/ROW]
[ROW][C]84[/C][C]48.0539252415282[/C][/ROW]
[ROW][C]85[/C][C]414.88066925989[/C][/ROW]
[ROW][C]86[/C][C]324.419424758668[/C][/ROW]
[ROW][C]87[/C][C]449.880770802469[/C][/ROW]
[ROW][C]88[/C][C]300.395104160455[/C][/ROW]
[ROW][C]89[/C][C]152.310439313374[/C][/ROW]
[ROW][C]90[/C][C]537.67509067583[/C][/ROW]
[ROW][C]91[/C][C]363.138645249173[/C][/ROW]
[ROW][C]92[/C][C]378.633922020739[/C][/ROW]
[ROW][C]93[/C][C]421.391407626215[/C][/ROW]
[ROW][C]94[/C][C]322.281307967769[/C][/ROW]
[ROW][C]95[/C][C]563.423257345804[/C][/ROW]
[ROW][C]96[/C][C]206.239101740051[/C][/ROW]
[ROW][C]97[/C][C]412.115739369503[/C][/ROW]
[ROW][C]98[/C][C]535.202148264942[/C][/ROW]
[ROW][C]99[/C][C]364.151748357931[/C][/ROW]
[ROW][C]100[/C][C]164.583971174535[/C][/ROW]
[ROW][C]101[/C][C]267.539193047356[/C][/ROW]
[ROW][C]102[/C][C]281.549852988613[/C][/ROW]
[ROW][C]103[/C][C]327.864279614846[/C][/ROW]
[ROW][C]104[/C][C]215.564072112692[/C][/ROW]
[ROW][C]105[/C][C]519.149466011648[/C][/ROW]
[ROW][C]106[/C][C]374.222153632147[/C][/ROW]
[ROW][C]107[/C][C]426.254529601857[/C][/ROW]
[ROW][C]108[/C][C]131.649053906444[/C][/ROW]
[ROW][C]109[/C][C]215.138337796039[/C][/ROW]
[ROW][C]110[/C][C]297.697413086928[/C][/ROW]
[ROW][C]111[/C][C]240.812864035437[/C][/ROW]
[ROW][C]112[/C][C]162.156094467734[/C][/ROW]
[ROW][C]113[/C][C]467.348676023969[/C][/ROW]
[ROW][C]114[/C][C]234.731182710671[/C][/ROW]
[ROW][C]115[/C][C]344.058259341698[/C][/ROW]
[ROW][C]116[/C][C]157.439839961781[/C][/ROW]
[ROW][C]117[/C][C]290.196820512091[/C][/ROW]
[ROW][C]118[/C][C]175.449396254882[/C][/ROW]
[ROW][C]119[/C][C]281.563050365761[/C][/ROW]
[ROW][C]120[/C][C]345.198993026702[/C][/ROW]
[ROW][C]121[/C][C]123.642567514912[/C][/ROW]
[ROW][C]122[/C][C]202.880444277391[/C][/ROW]
[ROW][C]123[/C][C]341.47702087531[/C][/ROW]
[ROW][C]124[/C][C]343.964929684665[/C][/ROW]
[ROW][C]125[/C][C]322.839437285518[/C][/ROW]
[ROW][C]126[/C][C]421.958024403458[/C][/ROW]
[ROW][C]127[/C][C]212.059887386202[/C][/ROW]
[ROW][C]128[/C][C]332.534164892179[/C][/ROW]
[ROW][C]129[/C][C]272.731816512144[/C][/ROW]
[ROW][C]130[/C][C]571.517237300598[/C][/ROW]
[ROW][C]131[/C][C]300.703308313749[/C][/ROW]
[ROW][C]132[/C][C]262.72104230485[/C][/ROW]
[ROW][C]133[/C][C]514.342477100688[/C][/ROW]
[ROW][C]134[/C][C]159.386825670783[/C][/ROW]
[ROW][C]135[/C][C]325.778035265736[/C][/ROW]
[ROW][C]136[/C][C]252.055525680193[/C][/ROW]
[ROW][C]137[/C][C]272.361839621896[/C][/ROW]
[ROW][C]138[/C][C]313.050425736037[/C][/ROW]
[ROW][C]139[/C][C]117.657586054889[/C][/ROW]
[ROW][C]140[/C][C]309.373210702957[/C][/ROW]
[ROW][C]141[/C][C]392.862277764553[/C][/ROW]
[ROW][C]142[/C][C]144.863600455392[/C][/ROW]
[ROW][C]143[/C][C]462.356986134679[/C][/ROW]
[ROW][C]144[/C][C]291.960513683398[/C][/ROW]
[ROW][C]145[/C][C]431.010271298893[/C][/ROW]
[ROW][C]146[/C][C]315.375834236513[/C][/ROW]
[ROW][C]147[/C][C]340.789464898147[/C][/ROW]
[ROW][C]148[/C][C]324.134583416015[/C][/ROW]
[ROW][C]149[/C][C]441.894904253683[/C][/ROW]
[ROW][C]150[/C][C]231.552934498716[/C][/ROW]
[ROW][C]151[/C][C]335.332290129791[/C][/ROW]
[ROW][C]152[/C][C]672.214597783106[/C][/ROW]
[ROW][C]153[/C][C]311.211185297839[/C][/ROW]
[ROW][C]154[/C][C]85.2904160430584[/C][/ROW]
[ROW][C]155[/C][C]351.23853149589[/C][/ROW]
[ROW][C]156[/C][C]42.4494319019503[/C][/ROW]
[ROW][C]157[/C][C]505.738318786028[/C][/ROW]
[ROW][C]158[/C][C]506.868757635969[/C][/ROW]
[ROW][C]159[/C][C]526.667590353283[/C][/ROW]
[ROW][C]160[/C][C]457.538340544501[/C][/ROW]
[ROW][C]161[/C][C]103.431520794006[/C][/ROW]
[ROW][C]162[/C][C]410.571926867801[/C][/ROW]
[ROW][C]163[/C][C]115.994733086229[/C][/ROW]
[ROW][C]164[/C][C]84.3189429516237[/C][/ROW]
[ROW][C]165[/C][C]251.189409826166[/C][/ROW]
[ROW][C]166[/C][C]294.02704939688[/C][/ROW]
[ROW][C]167[/C][C]424.396001717733[/C][/ROW]
[ROW][C]168[/C][C]135.609999032277[/C][/ROW]
[ROW][C]169[/C][C]194.318008288471[/C][/ROW]
[ROW][C]170[/C][C]152.056250548496[/C][/ROW]
[ROW][C]171[/C][C]211.189514535909[/C][/ROW]
[ROW][C]172[/C][C]566.096043390086[/C][/ROW]
[ROW][C]173[/C][C]362.392908717652[/C][/ROW]
[ROW][C]174[/C][C]293.450088630162[/C][/ROW]
[ROW][C]175[/C][C]77.8321245492554[/C][/ROW]
[ROW][C]176[/C][C]428.459543383416[/C][/ROW]
[ROW][C]177[/C][C]20.9887060583105[/C][/ROW]
[ROW][C]178[/C][C]331.729501460678[/C][/ROW]
[ROW][C]179[/C][C]234.711711126258[/C][/ROW]
[ROW][C]180[/C][C]220.999803843649[/C][/ROW]
[ROW][C]181[/C][C]522.2818626045[/C][/ROW]
[ROW][C]182[/C][C]247.695669392767[/C][/ROW]
[ROW][C]183[/C][C]436.791138689363[/C][/ROW]
[ROW][C]184[/C][C]467.52379458154[/C][/ROW]
[ROW][C]185[/C][C]591.766267363785[/C][/ROW]
[ROW][C]186[/C][C]490.875914964365[/C][/ROW]
[ROW][C]187[/C][C]75.1064007067146[/C][/ROW]
[ROW][C]188[/C][C]68.8045784516662[/C][/ROW]
[ROW][C]189[/C][C]263.086949052168[/C][/ROW]
[ROW][C]190[/C][C]157.334256685648[/C][/ROW]
[ROW][C]191[/C][C]443.408216958149[/C][/ROW]
[ROW][C]192[/C][C]367.539319135833[/C][/ROW]
[ROW][C]193[/C][C]253.882978249684[/C][/ROW]
[ROW][C]194[/C][C]171.332620831372[/C][/ROW]
[ROW][C]195[/C][C]200.935237392567[/C][/ROW]
[ROW][C]196[/C][C]497.110235888186[/C][/ROW]
[ROW][C]197[/C][C]264.576648917631[/C][/ROW]
[ROW][C]198[/C][C]361.631165380821[/C][/ROW]
[ROW][C]199[/C][C]277.287221465006[/C][/ROW]
[ROW][C]200[/C][C]270.254200973734[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=318732&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318732&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Index	Value
1	203.11477779199
2	543.984993736186
3	441.662561999902
4	149.39902019112
5	374.741404180477
6	391.960691185595
7	528.091656868382
8	287.967796650702
9	273.773804950729
10	405.658135317566
11	439.888882190728
12	269.83001418239
13	409.955514005165
14	245.227606556097
15	226.559456730948
16	165.536093637801
17	442.244256248708
18	244.784279153237
19	587.007329699321
20	546.112427829374
21	87.5437273996763
22	92.6687924505114
23	328.738153837847
24	198.541162137842
25	449.835250347167
26	409.431653888224
27	529.715988434348
28	438.671094377396
29	274.118672906565
30	351.689895423519
31	364.537169417032
32	354.862669513531
33	325.014158800906
34	301.427872158787
35	373.549383554306
36	369.595500837645
37	339.727501961889
38	210.91888234182
39	92.4345700775371
40	385.265125165925
41	245.203207094469
42	432.869010781865
43	295.047471672116
44	6.01800816469597
45	350.216566045538
46	248.226246237523
47	243.438451086369
48	240.352485412552
49	209.837871410528
50	539.216137685522
51	137.268387258173
52	258.356724259598
53	370.534832792334
54	279.420037196773
55	419.268450138898
56	177.388754083789
57	307.608642466835
58	432.828732304795
59	255.855076242129
60	331.353558147184
61	341.478094025686
62	233.409854655244
63	-27.6605737649076
64	300.994005277799
65	158.494635499697
66	418.666940056494
67	174.451937978811
68	597.758979811695
69	264.092446147448
70	220.256909472661
71	332.901866921773
72	227.175013953685
73	336.172813498144
74	220.009020499244
75	350.670783925633
76	282.598921924053
77	216.186868529919
78	572.244737735043
79	136.751787106477
80	388.192909631528
81	431.411399291788
82	489.889823104843
83	-7.28166875417548
84	48.0539252415282
85	414.88066925989
86	324.419424758668
87	449.880770802469
88	300.395104160455
89	152.310439313374
90	537.67509067583
91	363.138645249173
92	378.633922020739
93	421.391407626215
94	322.281307967769
95	563.423257345804
96	206.239101740051
97	412.115739369503
98	535.202148264942
99	364.151748357931
100	164.583971174535
101	267.539193047356
102	281.549852988613
103	327.864279614846
104	215.564072112692
105	519.149466011648
106	374.222153632147
107	426.254529601857
108	131.649053906444
109	215.138337796039
110	297.697413086928
111	240.812864035437
112	162.156094467734
113	467.348676023969
114	234.731182710671
115	344.058259341698
116	157.439839961781
117	290.196820512091
118	175.449396254882
119	281.563050365761
120	345.198993026702
121	123.642567514912
122	202.880444277391
123	341.47702087531
124	343.964929684665
125	322.839437285518
126	421.958024403458
127	212.059887386202
128	332.534164892179
129	272.731816512144
130	571.517237300598
131	300.703308313749
132	262.72104230485
133	514.342477100688
134	159.386825670783
135	325.778035265736
136	252.055525680193
137	272.361839621896
138	313.050425736037
139	117.657586054889
140	309.373210702957
141	392.862277764553
142	144.863600455392
143	462.356986134679
144	291.960513683398
145	431.010271298893
146	315.375834236513
147	340.789464898147
148	324.134583416015
149	441.894904253683
150	231.552934498716
151	335.332290129791
152	672.214597783106
153	311.211185297839
154	85.2904160430584
155	351.23853149589
156	42.4494319019503
157	505.738318786028
158	506.868757635969
159	526.667590353283
160	457.538340544501
161	103.431520794006
162	410.571926867801
163	115.994733086229
164	84.3189429516237
165	251.189409826166
166	294.02704939688
167	424.396001717733
168	135.609999032277
169	194.318008288471
170	152.056250548496
171	211.189514535909
172	566.096043390086
173	362.392908717652
174	293.450088630162
175	77.8321245492554
176	428.459543383416
177	20.9887060583105
178	331.729501460678
179	234.711711126258
180	220.999803843649
181	522.2818626045
182	247.695669392767
183	436.791138689363
184	467.52379458154
185	591.766267363785
186	490.875914964365
187	75.1064007067146
188	68.8045784516662
189	263.086949052168
190	157.334256685648
191	443.408216958149
192	367.539319135833
193	253.882978249684
194	171.332620831372
195	200.935237392567
196	497.110235888186
197	264.576648917631
198	361.631165380821
199	277.287221465006
200	270.254200973734

Parameter	Value	Standard Deviation
# simulated values	200	-
true mean	300	-
true standard deviation	135	-
mean	310.483496950317	9.65458793307969
standard deviation	136.536491940849	6.82682459704246

\begin{tabular}{lllllllll}
\hline
Parameter & Value & Standard Deviation \tabularnewline
# simulated values & 200 & - \tabularnewline
true mean & 300 & - \tabularnewline
true standard deviation & 135 & - \tabularnewline
mean & 310.483496950317 & 9.65458793307969 \tabularnewline
standard deviation & 136.536491940849 & 6.82682459704246 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318732&T=2

[TABLE]
[ROW][C]Parameter[/C][C]Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]# simulated values[/C][C]200[/C][C]-[/C][/ROW]
[ROW][C]true mean[/C][C]300[/C][C]-[/C][/ROW]
[ROW][C]true standard deviation[/C][C]135[/C][C]-[/C][/ROW]
[ROW][C]mean[/C][C]310.483496950317[/C][C]9.65458793307969[/C][/ROW]
[ROW][C]standard deviation[/C][C]136.536491940849[/C][C]6.82682459704246[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=318732&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318732&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Parameter	Value	Standard Deviation
# simulated values	200	-
true mean	300	-
true standard deviation	135	-
mean	310.483496950317	9.65458793307969
standard deviation	136.536491940849	6.82682459704246

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-40,-20[	-30	1	0.005	0.005	0.00025
[-20,0[	-10	1	0.005	0.01	0.00025
[0,20[	10	1	0.005	0.015	0.00025
[20,40[	30	1	0.005	0.02	0.00025
[40,60[	50	2	0.01	0.03	5e-04
[60,80[	70	3	0.015	0.045	0.00075
[80,100[	90	5	0.025	0.07	0.00125
[100,120[	110	3	0.015	0.085	0.00075
[120,140[	130	5	0.025	0.11	0.00125
[140,160[	150	8	0.04	0.15	0.002
[160,180[	170	7	0.035	0.185	0.00175
[180,200[	190	2	0.01	0.195	5e-04
[200,220[	210	11	0.055	0.25	0.00275
[220,240[	230	9	0.045	0.295	0.00225
[240,260[	250	13	0.065	0.36	0.00325
[260,280[	270	13	0.065	0.425	0.00325
[280,300[	290	10	0.05	0.475	0.0025
[300,320[	310	9	0.045	0.52	0.00225
[320,340[	330	15	0.075	0.595	0.00375
[340,360[	350	11	0.055	0.65	0.00275
[360,380[	370	12	0.06	0.71	0.003
[380,400[	390	4	0.02	0.73	0.001
[400,420[	410	8	0.04	0.77	0.002
[420,440[	430	12	0.06	0.83	0.003
[440,460[	450	7	0.035	0.865	0.00175
[460,480[	470	3	0.015	0.88	0.00075
[480,500[	490	3	0.015	0.895	0.00075
[500,520[	510	4	0.02	0.915	0.001
[520,540[	530	7	0.035	0.95	0.00175
[540,560[	550	2	0.01	0.96	5e-04
[560,580[	570	4	0.02	0.98	0.001
[580,600[	590	3	0.015	0.995	0.00075
[600,620[	610	0	0	0.995	0
[620,640[	630	0	0	0.995	0
[640,660[	650	0	0	0.995	0
[660,680]	670	1	0.005	1	0.00025

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-40,-20[ & -30 & 1 & 0.005 & 0.005 & 0.00025 \tabularnewline
[-20,0[ & -10 & 1 & 0.005 & 0.01 & 0.00025 \tabularnewline
[0,20[ & 10 & 1 & 0.005 & 0.015 & 0.00025 \tabularnewline
[20,40[ & 30 & 1 & 0.005 & 0.02 & 0.00025 \tabularnewline
[40,60[ & 50 & 2 & 0.01 & 0.03 & 5e-04 \tabularnewline
[60,80[ & 70 & 3 & 0.015 & 0.045 & 0.00075 \tabularnewline
[80,100[ & 90 & 5 & 0.025 & 0.07 & 0.00125 \tabularnewline
[100,120[ & 110 & 3 & 0.015 & 0.085 & 0.00075 \tabularnewline
[120,140[ & 130 & 5 & 0.025 & 0.11 & 0.00125 \tabularnewline
[140,160[ & 150 & 8 & 0.04 & 0.15 & 0.002 \tabularnewline
[160,180[ & 170 & 7 & 0.035 & 0.185 & 0.00175 \tabularnewline
[180,200[ & 190 & 2 & 0.01 & 0.195 & 5e-04 \tabularnewline
[200,220[ & 210 & 11 & 0.055 & 0.25 & 0.00275 \tabularnewline
[220,240[ & 230 & 9 & 0.045 & 0.295 & 0.00225 \tabularnewline
[240,260[ & 250 & 13 & 0.065 & 0.36 & 0.00325 \tabularnewline
[260,280[ & 270 & 13 & 0.065 & 0.425 & 0.00325 \tabularnewline
[280,300[ & 290 & 10 & 0.05 & 0.475 & 0.0025 \tabularnewline
[300,320[ & 310 & 9 & 0.045 & 0.52 & 0.00225 \tabularnewline
[320,340[ & 330 & 15 & 0.075 & 0.595 & 0.00375 \tabularnewline
[340,360[ & 350 & 11 & 0.055 & 0.65 & 0.00275 \tabularnewline
[360,380[ & 370 & 12 & 0.06 & 0.71 & 0.003 \tabularnewline
[380,400[ & 390 & 4 & 0.02 & 0.73 & 0.001 \tabularnewline
[400,420[ & 410 & 8 & 0.04 & 0.77 & 0.002 \tabularnewline
[420,440[ & 430 & 12 & 0.06 & 0.83 & 0.003 \tabularnewline
[440,460[ & 450 & 7 & 0.035 & 0.865 & 0.00175 \tabularnewline
[460,480[ & 470 & 3 & 0.015 & 0.88 & 0.00075 \tabularnewline
[480,500[ & 490 & 3 & 0.015 & 0.895 & 0.00075 \tabularnewline
[500,520[ & 510 & 4 & 0.02 & 0.915 & 0.001 \tabularnewline
[520,540[ & 530 & 7 & 0.035 & 0.95 & 0.00175 \tabularnewline
[540,560[ & 550 & 2 & 0.01 & 0.96 & 5e-04 \tabularnewline
[560,580[ & 570 & 4 & 0.02 & 0.98 & 0.001 \tabularnewline
[580,600[ & 590 & 3 & 0.015 & 0.995 & 0.00075 \tabularnewline
[600,620[ & 610 & 0 & 0 & 0.995 & 0 \tabularnewline
[620,640[ & 630 & 0 & 0 & 0.995 & 0 \tabularnewline
[640,660[ & 650 & 0 & 0 & 0.995 & 0 \tabularnewline
[660,680] & 670 & 1 & 0.005 & 1 & 0.00025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318732&T=3

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][-40,-20[[/C][C]-30[/C][C]1[/C][C]0.005[/C][C]0.005[/C][C]0.00025[/C][/ROW]
[ROW][C][-20,0[[/C][C]-10[/C][C]1[/C][C]0.005[/C][C]0.01[/C][C]0.00025[/C][/ROW]
[ROW][C][0,20[[/C][C]10[/C][C]1[/C][C]0.005[/C][C]0.015[/C][C]0.00025[/C][/ROW]
[ROW][C][20,40[[/C][C]30[/C][C]1[/C][C]0.005[/C][C]0.02[/C][C]0.00025[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]2[/C][C]0.01[/C][C]0.03[/C][C]5e-04[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]3[/C][C]0.015[/C][C]0.045[/C][C]0.00075[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]5[/C][C]0.025[/C][C]0.07[/C][C]0.00125[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]3[/C][C]0.015[/C][C]0.085[/C][C]0.00075[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]5[/C][C]0.025[/C][C]0.11[/C][C]0.00125[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]8[/C][C]0.04[/C][C]0.15[/C][C]0.002[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]7[/C][C]0.035[/C][C]0.185[/C][C]0.00175[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]2[/C][C]0.01[/C][C]0.195[/C][C]5e-04[/C][/ROW]
[ROW][C][200,220[[/C][C]210[/C][C]11[/C][C]0.055[/C][C]0.25[/C][C]0.00275[/C][/ROW]
[ROW][C][220,240[[/C][C]230[/C][C]9[/C][C]0.045[/C][C]0.295[/C][C]0.00225[/C][/ROW]
[ROW][C][240,260[[/C][C]250[/C][C]13[/C][C]0.065[/C][C]0.36[/C][C]0.00325[/C][/ROW]
[ROW][C][260,280[[/C][C]270[/C][C]13[/C][C]0.065[/C][C]0.425[/C][C]0.00325[/C][/ROW]
[ROW][C][280,300[[/C][C]290[/C][C]10[/C][C]0.05[/C][C]0.475[/C][C]0.0025[/C][/ROW]
[ROW][C][300,320[[/C][C]310[/C][C]9[/C][C]0.045[/C][C]0.52[/C][C]0.00225[/C][/ROW]
[ROW][C][320,340[[/C][C]330[/C][C]15[/C][C]0.075[/C][C]0.595[/C][C]0.00375[/C][/ROW]
[ROW][C][340,360[[/C][C]350[/C][C]11[/C][C]0.055[/C][C]0.65[/C][C]0.00275[/C][/ROW]
[ROW][C][360,380[[/C][C]370[/C][C]12[/C][C]0.06[/C][C]0.71[/C][C]0.003[/C][/ROW]
[ROW][C][380,400[[/C][C]390[/C][C]4[/C][C]0.02[/C][C]0.73[/C][C]0.001[/C][/ROW]
[ROW][C][400,420[[/C][C]410[/C][C]8[/C][C]0.04[/C][C]0.77[/C][C]0.002[/C][/ROW]
[ROW][C][420,440[[/C][C]430[/C][C]12[/C][C]0.06[/C][C]0.83[/C][C]0.003[/C][/ROW]
[ROW][C][440,460[[/C][C]450[/C][C]7[/C][C]0.035[/C][C]0.865[/C][C]0.00175[/C][/ROW]
[ROW][C][460,480[[/C][C]470[/C][C]3[/C][C]0.015[/C][C]0.88[/C][C]0.00075[/C][/ROW]
[ROW][C][480,500[[/C][C]490[/C][C]3[/C][C]0.015[/C][C]0.895[/C][C]0.00075[/C][/ROW]
[ROW][C][500,520[[/C][C]510[/C][C]4[/C][C]0.02[/C][C]0.915[/C][C]0.001[/C][/ROW]
[ROW][C][520,540[[/C][C]530[/C][C]7[/C][C]0.035[/C][C]0.95[/C][C]0.00175[/C][/ROW]
[ROW][C][540,560[[/C][C]550[/C][C]2[/C][C]0.01[/C][C]0.96[/C][C]5e-04[/C][/ROW]
[ROW][C][560,580[[/C][C]570[/C][C]4[/C][C]0.02[/C][C]0.98[/C][C]0.001[/C][/ROW]
[ROW][C][580,600[[/C][C]590[/C][C]3[/C][C]0.015[/C][C]0.995[/C][C]0.00075[/C][/ROW]
[ROW][C][600,620[[/C][C]610[/C][C]0[/C][C]0[/C][C]0.995[/C][C]0[/C][/ROW]
[ROW][C][620,640[[/C][C]630[/C][C]0[/C][C]0[/C][C]0.995[/C][C]0[/C][/ROW]
[ROW][C][640,660[[/C][C]650[/C][C]0[/C][C]0[/C][C]0.995[/C][C]0[/C][/ROW]
[ROW][C][660,680][/C][C]670[/C][C]1[/C][C]0.005[/C][C]1[/C][C]0.00025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=318732&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318732&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-40,-20[	-30	1	0.005	0.005	0.00025
[-20,0[	-10	1	0.005	0.01	0.00025
[0,20[	10	1	0.005	0.015	0.00025
[20,40[	30	1	0.005	0.02	0.00025
[40,60[	50	2	0.01	0.03	5e-04
[60,80[	70	3	0.015	0.045	0.00075
[80,100[	90	5	0.025	0.07	0.00125
[100,120[	110	3	0.015	0.085	0.00075
[120,140[	130	5	0.025	0.11	0.00125
[140,160[	150	8	0.04	0.15	0.002
[160,180[	170	7	0.035	0.185	0.00175
[180,200[	190	2	0.01	0.195	5e-04
[200,220[	210	11	0.055	0.25	0.00275
[220,240[	230	9	0.045	0.295	0.00225
[240,260[	250	13	0.065	0.36	0.00325
[260,280[	270	13	0.065	0.425	0.00325
[280,300[	290	10	0.05	0.475	0.0025
[300,320[	310	9	0.045	0.52	0.00225
[320,340[	330	15	0.075	0.595	0.00375
[340,360[	350	11	0.055	0.65	0.00275
[360,380[	370	12	0.06	0.71	0.003
[380,400[	390	4	0.02	0.73	0.001
[400,420[	410	8	0.04	0.77	0.002
[420,440[	430	12	0.06	0.83	0.003
[440,460[	450	7	0.035	0.865	0.00175
[460,480[	470	3	0.015	0.88	0.00075
[480,500[	490	3	0.015	0.895	0.00075
[500,520[	510	4	0.02	0.915	0.001
[520,540[	530	7	0.035	0.95	0.00175
[540,560[	550	2	0.01	0.96	5e-04
[560,580[	570	4	0.02	0.98	0.001
[580,600[	590	3	0.015	0.995	0.00075
[600,620[	610	0	0	0.995	0
[620,640[	630	0	0	0.995	0
[640,660[	650	0	0	0.995	0
[660,680]	670	1	0.005	1	0.00025

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 200 ; par2 = 300 ; par3 = 135 ; par4 = 7 ; par5 = Y ; par6 = 25 ;

Parameters (R input):

par1 = 200 ; par2 = 300 ; par3 = 135 ; par4 = 7 ; par5 = Y ; par6 = 25 ; par7 = ; par8 = ;

R code (references can be found in the software module):

par8 <- ''
par7 <- ''
par6 <- '25'
par5 <- 'Y'
par4 <- '7'
par3 <- '135'
par2 <- '300'
par1 <- '200'
library(MASS)
library(msm)
par1 <- sub(',','.',par1)
par2 <- sub(',','.',par2)
par3 <- sub(',','.',par3)
par4 <- sub(',','.',par4)
par1 <- as.numeric(par1)
if (par1 > 10000) par1=10000 #impose restriction on number of random values
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
if (par6 == '0') par6 = 'Sturges' else {
par6 <- as.numeric(par6)
if (par6 > 50) par6 = 50 #impose restriction on the number of bins
}
if (par7 == '') par7 <- -Inf else par7 <- as.numeric(par7)
if (par8 == '') par8 <- Inf else par8 <- as.numeric(par8)
x <- rtnorm(par1,par2,par3,par7,par8)
x <- as.ts(x) #otherwise the fitdistr function does not work properly
if ((par7 == -Inf) & (par8 == Inf)) (r <- fitdistr(x,'normal'))
bitmap(file='test1.png')
myhist<-hist(x,col=par4,breaks=par6,main=main,ylab=ylab,xlab=xlab,freq=F)
if ((par7 == -Inf) & (par8 == Inf)) {
curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T)
}
dev.off()
load(file='createtable')
if (par5 == 'Y')
{
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Index',1,TRUE)
a<-table.element(a,'Value',1,TRUE)
a<-table.row.end(a)
for (i in 1:par1)
{
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
if ((par7 == -Inf) & (par8 == Inf)) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# simulated values',header=TRUE)
a<-table.element(a,par1)
a<-table.element(a,'-')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'true mean',header=TRUE)
a<-table.element(a,par2)
a<-table.element(a,'-')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'true standard deviation',header=TRUE)
a<-table.element(a,par3)
a<-table.element(a,'-')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$estimate[1])
a<-table.element(a,r$sd[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'standard deviation',header=TRUE)
a<-table.element(a,r$estimate[2])
a<-table.element(a,r$sd[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Histogram)',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
dum <- paste('[',myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,'[',sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/par1
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable3.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code