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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 20 Dec 2012 00:19:05 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/20/t1355980795ipbvohlex7ne1tw.htm/, Retrieved Tue, 23 Apr 2024 07:35:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=202529, Retrieved Tue, 23 Apr 2024 07:35:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [rrr] [2012-12-20 05:19:05] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
252
131
116
113
657
157
368
151
114
149
115
239
282
155
114
195
337
312
149
187
261
145
199
217
128
197
193
142
246
115
158
241
143
113
152
295
171
153
297
170
295
117
172
138
127
226
316
254
224
279
290
117
111
206
151
115
286
115
171
182
102
232
167
106
63
136
96
150
123
315
293
144
243
168
815
186
240
198
202
188
240
344
208
169
241
330
205
115
121
300
137
113
105
150
109
102
128
88
137
291
95
135
98
94
128
124
120
113
178
98
167
113
155
134
127
121
97
140
133
140
78
138
141
129
127
104
140
142
142
90
106
217
142
134
104
127
184
114
167
104
117
115
64
137
572
118
263
221
104
117
174
275
113
255
247
352
107
155
219
113
138
66
353
231
283
107
255
153
119
143
258
314
277
298
152
116
302
256
137
113
119
154
293
250
190
231
192
267
179
305
284
320
195
258
132
147
153
154
265
277
291
255
155
166
153
156
269
213
209
232
154
297
278
419
261
103
196
204
242
314
655
272
174
273
217
136
116
198
336
62
253
150
139
155
105
303
224
143
142
145
352
275
298
1235
297
610
269
289
254
315
241
255
113
230
274
130
263
107
155
113
282
137
297
238
171
165
267
1259
259
278
112
142
114
265
163
384
213
222
114
290
409
631
421
153
125
306
216
260
253
709
584
271
240
339
357
422
222
492
186
211
245
254
785
158
171
263
228
546
242
153
198
233
212
151
269
294
346
413
210
169
227
139
153
186
271
113
186
98
256
139
200
141
341
147
130
207
209
264
174
257
110
231
154
265
155
63
140
338
315
364
267
141
114
306
154
315
533
154
154
297
152
340
155
269
331
155
204
572
187
311
167
250
132
234
154
63
158
207
414
151
193
184
427
297
154
144
168
191
407
298
224
213
292
438
301
309
156
179
295
327
235
397
131
144
144
198
366
136
144
1227
154
263
303
104
154
316
115
258
278
94
152
258
153
337
243
292
184
260
225
214
205
146
276
253
229
262
175
404
264
300
277
331
286
780
154
117
214
112
2561
137
361
262
68
252
426
235
154
177
211
162
141
299
289
327
407
254
138
346
65
166
224
278
271
294
120
154
299
289
204
268
121
532
107
130
138
215
294
153
386
243
154
279
155
292
230
253
143
112
262
1793
1007
205
139
219
286
494
183
63
157
330
279
306
247
283
148
734
259
348
129
166
112
269
78
268
145
331
122
217
392
278
275
112
172
264
203
302
298
69
383
264
156
354
270
239
412
111
115
154
253
1086
283
244
134
169
144
142
207
1177
360
389
1056
300
320
169
153
278
794
154
308
129
272
216
279
460
358
251
348
153
112
115
196
267
139
116
227
154
243
290
143
264
251
81
268
114
160
194
232
113
66
105
154
156
270
153
154
197
691
154
240
272
122
1007
240
153
118
726
308
305
265
324
231
205
184
325
151
169
249
155
295
252
223
373
136
356
143
132
132
104
134
145
113
151
114
159
185
146
136
132
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127
200
128
225
62
63
62
122
134
146
155
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115
104
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59
145
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144
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96
145
104
105
58
104
145
141
150
145
145
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245
121
145
101
144
142
150
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99
160
145
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144
152
121
105
190
175
144
136
105
145
101
132
115
120
240
185
111
105
146
62
62
124
151
194
244
97
174
250
125
291
154
302
115
215
181
231
250
144
124
100
136
261
243
219
110
466
348
154
297
448
194
300
259
129
270
378
159
199
117
246
185
244
236
304
126
121
378
116
238
329
161
730
268
205
147
305
258
148
260
240
263
250
322
347
322
733
355
438
1049
361
280
406
423
273
229
281
279
282
314
289
262
421
327
426
323
297
407
427
425
420
299
412
435
274
946
281
403
267
657
494
147
152
152
166
299
259
593
181
170
166
153
164
170
514
209
135
183
142
160
204
299
305
105
230
232
154
286
137
141
293
74
416
351
690
119
264
285
130
119
69
222
248
255
394
299
269
286
288
195
234
2120
295
152
302
220
251
62
115
336
297
110
134
154
305
268
269
308
276
309
235
294
220
172
229
124
292
154
182
365
128
179
235
365
314
303
272
246
157
154
269
238
232
345
273
301
290
201
131
1079
163
192
142
141
205
278
200
246
227
440
376
205
339
370
145
411
146
403
703
289
186
306
356
315
176
129
147
349
204
218
373
316
372
203
265
132
152
155
297
172
248
343
175
341
370
367
380
178
2061
244
394
315
443
405
414
160
285
202
182
201
206
289
104
352
202
401
358
418
817
302
287
395
366
192
138
308
140
398
161
308
424
320
204
174
179
368
201
182
202
170
260
202
361
1249
340
378
349
202
400
124
163
414
193
203
490
203
170
307
162
383
202
1413
154
191
202
828
161
139
395
372
131
202
299
351
365
188
280
403
356
202
231
325
388
339
503
395
409
230
387
184
464
180
161
164
379
336
203
369
376
392
295
361
371
379
324
335
337
344
370
196
315
203
191
375
322
391
356
324
479
145
342
385
1215
349
346
274
167
297
318
178
319
165
209
422
287
241
327
317
415
219
358
175
353
162
192
192
135
193
188
124
137
192
193
162
131
286
185
178
141
193
186
148
175
80
79
191
192
189
193
164
193
195
144
192
182
193
190
325
342
116
193
190
141
193
178
193
193
170
192
194
190
191
396
181
193
190
166
193
202
192
124
191
192
136
193
188
167
137
603
135
78
79
75
174
80
133
124
79
79
174
147
195
192
192
229
192
174
203
181
163
331
389
203
198
144
386
357
152
312
136
183
180
343
137
156
470
356
162
202
403
308
306
152
311
149
383
368
176
147
177
203
366
413
236
142
215
143
292
317
870
116
144
145
356
299
243
391
283
1164
309
314
195
364
412
187
318
344
356
207
346
348
189
296
183
203
355
297
420
204
202
1484
354
2267
343
213
236
170
242
191
193
193
193
237
194
192
193
244
183
128
194
192
185
193
194
198
173
208
191
194
193
137
193
465
232
202
344
202
174
343
180
436
185
157
303
200
388
571
202
185
290
402
173
210
331
351
411
365
374
387
213
146
353
2382
156
177
203
304
219
202
205
403
288
365
273
263
289
325
146
387
224
242
349
369
180
265
471
146
131
390
202
324
150
356
417
359
403
800
203
342
369
407
251
836
162
376
395
378
174
190
310
201
139
326
268
289
176
132
299
378
308
298
286
92
229
208
203
432
171
176
89
174
174
203
182
187
177
181
192
152
80
168
134
137
80
195
192
193
260
269
192
193
190
126
193
135
184
147
196
201
135
153
144
76
79
137
193
389
196
193
232
189
193
193
198
193
138
206
200
188
194
193
192
196
193
194
163
153
186
79
79
185
192
146
151
193
194
192
193
193
191
193
193
193
192
258
224
192
223
133
183
233
190
192
192
203
385
268
342
328
118
213
201
276
222
375
201
602
121
335
202
204
424
168
369
257
147
285
405
380
341
318
202
374
320
494
331
148
244
243
166
203
160
149
176
79
186
147
146
143
305
370
620
183
177
255
147
147
203
294
269
172
143
278
148
165
345
388
201
305
120
310
169
404
217
147
391
173
302
339
200
143
361
296
282
185
256
188
117
167
116
152
246
170
171
115
332
171
116
120
204
198
114
191
305
723
273
113
157
151
179
166
146
115
134
124
184
151

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202529&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202529&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202529&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[50,100[75540.0338770.0338770.000678
[100,150[1253290.2063990.2402760.004128
[150,200[1753940.2471770.4874530.004944
[200,250[2252120.1329990.6204520.00266
[250,300[2752240.1405270.7609790.002811
[300,350[3251460.0915930.8525720.001832
[350,400[3751080.0677540.9203260.001355
[400,450[425570.0357590.9560850.000715
[450,500[475120.0075280.9636140.000151
[500,550[52550.0031370.966756.3e-05
[550,600[57550.0031370.9698876.3e-05
[600,650[62550.0031370.9730246.3e-05
[650,700[67550.0031370.9761616.3e-05
[700,750[72570.0043910.9805528.8e-05
[750,800[77530.0018820.9824343.8e-05
[800,850[82550.0031370.9855716.3e-05
[850,900[87510.0006270.9861981.3e-05
[900,950[92510.0006270.9868261.3e-05
[950,1000[975000.9868260
[1000,1050[102530.0018820.9887083.8e-05
[1050,1100[107530.0018820.990593.8e-05
[1100,1150[1125000.990590
[1150,1200[117520.0012550.9918442.5e-05
[1200,1250[122540.0025090.9943545e-05
[1250,1300[127510.0006270.9949811.3e-05
[1300,1350[1325000.9949810
[1350,1400[1375000.9949810
[1400,1450[142510.0006270.9956091.3e-05
[1450,1500[147510.0006270.9962361.3e-05
[1500,1550[1525000.9962360
[1550,1600[1575000.9962360
[1600,1650[1625000.9962360
[1650,1700[1675000.9962360
[1700,1750[1725000.9962360
[1750,1800[177510.0006270.9968631.3e-05
[1800,1850[1825000.9968630
[1850,1900[1875000.9968630
[1900,1950[1925000.9968630
[1950,2000[1975000.9968630
[2000,2050[2025000.9968630
[2050,2100[207510.0006270.9974911.3e-05
[2100,2150[212510.0006270.9981181.3e-05
[2150,2200[2175000.9981180
[2200,2250[2225000.9981180
[2250,2300[227510.0006270.9987451.3e-05
[2300,2350[2325000.9987450
[2350,2400[237510.0006270.9993731.3e-05
[2400,2450[2425000.9993730
[2450,2500[2475000.9993730
[2500,2550[2525000.9993730
[2550,2600]257510.00062711.3e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[50,100[ & 75 & 54 & 0.033877 & 0.033877 & 0.000678 \tabularnewline
[100,150[ & 125 & 329 & 0.206399 & 0.240276 & 0.004128 \tabularnewline
[150,200[ & 175 & 394 & 0.247177 & 0.487453 & 0.004944 \tabularnewline
[200,250[ & 225 & 212 & 0.132999 & 0.620452 & 0.00266 \tabularnewline
[250,300[ & 275 & 224 & 0.140527 & 0.760979 & 0.002811 \tabularnewline
[300,350[ & 325 & 146 & 0.091593 & 0.852572 & 0.001832 \tabularnewline
[350,400[ & 375 & 108 & 0.067754 & 0.920326 & 0.001355 \tabularnewline
[400,450[ & 425 & 57 & 0.035759 & 0.956085 & 0.000715 \tabularnewline
[450,500[ & 475 & 12 & 0.007528 & 0.963614 & 0.000151 \tabularnewline
[500,550[ & 525 & 5 & 0.003137 & 0.96675 & 6.3e-05 \tabularnewline
[550,600[ & 575 & 5 & 0.003137 & 0.969887 & 6.3e-05 \tabularnewline
[600,650[ & 625 & 5 & 0.003137 & 0.973024 & 6.3e-05 \tabularnewline
[650,700[ & 675 & 5 & 0.003137 & 0.976161 & 6.3e-05 \tabularnewline
[700,750[ & 725 & 7 & 0.004391 & 0.980552 & 8.8e-05 \tabularnewline
[750,800[ & 775 & 3 & 0.001882 & 0.982434 & 3.8e-05 \tabularnewline
[800,850[ & 825 & 5 & 0.003137 & 0.985571 & 6.3e-05 \tabularnewline
[850,900[ & 875 & 1 & 0.000627 & 0.986198 & 1.3e-05 \tabularnewline
[900,950[ & 925 & 1 & 0.000627 & 0.986826 & 1.3e-05 \tabularnewline
[950,1000[ & 975 & 0 & 0 & 0.986826 & 0 \tabularnewline
[1000,1050[ & 1025 & 3 & 0.001882 & 0.988708 & 3.8e-05 \tabularnewline
[1050,1100[ & 1075 & 3 & 0.001882 & 0.99059 & 3.8e-05 \tabularnewline
[1100,1150[ & 1125 & 0 & 0 & 0.99059 & 0 \tabularnewline
[1150,1200[ & 1175 & 2 & 0.001255 & 0.991844 & 2.5e-05 \tabularnewline
[1200,1250[ & 1225 & 4 & 0.002509 & 0.994354 & 5e-05 \tabularnewline
[1250,1300[ & 1275 & 1 & 0.000627 & 0.994981 & 1.3e-05 \tabularnewline
[1300,1350[ & 1325 & 0 & 0 & 0.994981 & 0 \tabularnewline
[1350,1400[ & 1375 & 0 & 0 & 0.994981 & 0 \tabularnewline
[1400,1450[ & 1425 & 1 & 0.000627 & 0.995609 & 1.3e-05 \tabularnewline
[1450,1500[ & 1475 & 1 & 0.000627 & 0.996236 & 1.3e-05 \tabularnewline
[1500,1550[ & 1525 & 0 & 0 & 0.996236 & 0 \tabularnewline
[1550,1600[ & 1575 & 0 & 0 & 0.996236 & 0 \tabularnewline
[1600,1650[ & 1625 & 0 & 0 & 0.996236 & 0 \tabularnewline
[1650,1700[ & 1675 & 0 & 0 & 0.996236 & 0 \tabularnewline
[1700,1750[ & 1725 & 0 & 0 & 0.996236 & 0 \tabularnewline
[1750,1800[ & 1775 & 1 & 0.000627 & 0.996863 & 1.3e-05 \tabularnewline
[1800,1850[ & 1825 & 0 & 0 & 0.996863 & 0 \tabularnewline
[1850,1900[ & 1875 & 0 & 0 & 0.996863 & 0 \tabularnewline
[1900,1950[ & 1925 & 0 & 0 & 0.996863 & 0 \tabularnewline
[1950,2000[ & 1975 & 0 & 0 & 0.996863 & 0 \tabularnewline
[2000,2050[ & 2025 & 0 & 0 & 0.996863 & 0 \tabularnewline
[2050,2100[ & 2075 & 1 & 0.000627 & 0.997491 & 1.3e-05 \tabularnewline
[2100,2150[ & 2125 & 1 & 0.000627 & 0.998118 & 1.3e-05 \tabularnewline
[2150,2200[ & 2175 & 0 & 0 & 0.998118 & 0 \tabularnewline
[2200,2250[ & 2225 & 0 & 0 & 0.998118 & 0 \tabularnewline
[2250,2300[ & 2275 & 1 & 0.000627 & 0.998745 & 1.3e-05 \tabularnewline
[2300,2350[ & 2325 & 0 & 0 & 0.998745 & 0 \tabularnewline
[2350,2400[ & 2375 & 1 & 0.000627 & 0.999373 & 1.3e-05 \tabularnewline
[2400,2450[ & 2425 & 0 & 0 & 0.999373 & 0 \tabularnewline
[2450,2500[ & 2475 & 0 & 0 & 0.999373 & 0 \tabularnewline
[2500,2550[ & 2525 & 0 & 0 & 0.999373 & 0 \tabularnewline
[2550,2600] & 2575 & 1 & 0.000627 & 1 & 1.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202529&T=1

[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][50,100[[/C][C]75[/C][C]54[/C][C]0.033877[/C][C]0.033877[/C][C]0.000678[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]329[/C][C]0.206399[/C][C]0.240276[/C][C]0.004128[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]394[/C][C]0.247177[/C][C]0.487453[/C][C]0.004944[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]212[/C][C]0.132999[/C][C]0.620452[/C][C]0.00266[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]224[/C][C]0.140527[/C][C]0.760979[/C][C]0.002811[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]146[/C][C]0.091593[/C][C]0.852572[/C][C]0.001832[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]108[/C][C]0.067754[/C][C]0.920326[/C][C]0.001355[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]57[/C][C]0.035759[/C][C]0.956085[/C][C]0.000715[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]12[/C][C]0.007528[/C][C]0.963614[/C][C]0.000151[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]5[/C][C]0.003137[/C][C]0.96675[/C][C]6.3e-05[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]5[/C][C]0.003137[/C][C]0.969887[/C][C]6.3e-05[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]5[/C][C]0.003137[/C][C]0.973024[/C][C]6.3e-05[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]5[/C][C]0.003137[/C][C]0.976161[/C][C]6.3e-05[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]7[/C][C]0.004391[/C][C]0.980552[/C][C]8.8e-05[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]3[/C][C]0.001882[/C][C]0.982434[/C][C]3.8e-05[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]5[/C][C]0.003137[/C][C]0.985571[/C][C]6.3e-05[/C][/ROW]
[ROW][C][850,900[[/C][C]875[/C][C]1[/C][C]0.000627[/C][C]0.986198[/C][C]1.3e-05[/C][/ROW]
[ROW][C][900,950[[/C][C]925[/C][C]1[/C][C]0.000627[/C][C]0.986826[/C][C]1.3e-05[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]0[/C][C]0[/C][C]0.986826[/C][C]0[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]3[/C][C]0.001882[/C][C]0.988708[/C][C]3.8e-05[/C][/ROW]
[ROW][C][1050,1100[[/C][C]1075[/C][C]3[/C][C]0.001882[/C][C]0.99059[/C][C]3.8e-05[/C][/ROW]
[ROW][C][1100,1150[[/C][C]1125[/C][C]0[/C][C]0[/C][C]0.99059[/C][C]0[/C][/ROW]
[ROW][C][1150,1200[[/C][C]1175[/C][C]2[/C][C]0.001255[/C][C]0.991844[/C][C]2.5e-05[/C][/ROW]
[ROW][C][1200,1250[[/C][C]1225[/C][C]4[/C][C]0.002509[/C][C]0.994354[/C][C]5e-05[/C][/ROW]
[ROW][C][1250,1300[[/C][C]1275[/C][C]1[/C][C]0.000627[/C][C]0.994981[/C][C]1.3e-05[/C][/ROW]
[ROW][C][1300,1350[[/C][C]1325[/C][C]0[/C][C]0[/C][C]0.994981[/C][C]0[/C][/ROW]
[ROW][C][1350,1400[[/C][C]1375[/C][C]0[/C][C]0[/C][C]0.994981[/C][C]0[/C][/ROW]
[ROW][C][1400,1450[[/C][C]1425[/C][C]1[/C][C]0.000627[/C][C]0.995609[/C][C]1.3e-05[/C][/ROW]
[ROW][C][1450,1500[[/C][C]1475[/C][C]1[/C][C]0.000627[/C][C]0.996236[/C][C]1.3e-05[/C][/ROW]
[ROW][C][1500,1550[[/C][C]1525[/C][C]0[/C][C]0[/C][C]0.996236[/C][C]0[/C][/ROW]
[ROW][C][1550,1600[[/C][C]1575[/C][C]0[/C][C]0[/C][C]0.996236[/C][C]0[/C][/ROW]
[ROW][C][1600,1650[[/C][C]1625[/C][C]0[/C][C]0[/C][C]0.996236[/C][C]0[/C][/ROW]
[ROW][C][1650,1700[[/C][C]1675[/C][C]0[/C][C]0[/C][C]0.996236[/C][C]0[/C][/ROW]
[ROW][C][1700,1750[[/C][C]1725[/C][C]0[/C][C]0[/C][C]0.996236[/C][C]0[/C][/ROW]
[ROW][C][1750,1800[[/C][C]1775[/C][C]1[/C][C]0.000627[/C][C]0.996863[/C][C]1.3e-05[/C][/ROW]
[ROW][C][1800,1850[[/C][C]1825[/C][C]0[/C][C]0[/C][C]0.996863[/C][C]0[/C][/ROW]
[ROW][C][1850,1900[[/C][C]1875[/C][C]0[/C][C]0[/C][C]0.996863[/C][C]0[/C][/ROW]
[ROW][C][1900,1950[[/C][C]1925[/C][C]0[/C][C]0[/C][C]0.996863[/C][C]0[/C][/ROW]
[ROW][C][1950,2000[[/C][C]1975[/C][C]0[/C][C]0[/C][C]0.996863[/C][C]0[/C][/ROW]
[ROW][C][2000,2050[[/C][C]2025[/C][C]0[/C][C]0[/C][C]0.996863[/C][C]0[/C][/ROW]
[ROW][C][2050,2100[[/C][C]2075[/C][C]1[/C][C]0.000627[/C][C]0.997491[/C][C]1.3e-05[/C][/ROW]
[ROW][C][2100,2150[[/C][C]2125[/C][C]1[/C][C]0.000627[/C][C]0.998118[/C][C]1.3e-05[/C][/ROW]
[ROW][C][2150,2200[[/C][C]2175[/C][C]0[/C][C]0[/C][C]0.998118[/C][C]0[/C][/ROW]
[ROW][C][2200,2250[[/C][C]2225[/C][C]0[/C][C]0[/C][C]0.998118[/C][C]0[/C][/ROW]
[ROW][C][2250,2300[[/C][C]2275[/C][C]1[/C][C]0.000627[/C][C]0.998745[/C][C]1.3e-05[/C][/ROW]
[ROW][C][2300,2350[[/C][C]2325[/C][C]0[/C][C]0[/C][C]0.998745[/C][C]0[/C][/ROW]
[ROW][C][2350,2400[[/C][C]2375[/C][C]1[/C][C]0.000627[/C][C]0.999373[/C][C]1.3e-05[/C][/ROW]
[ROW][C][2400,2450[[/C][C]2425[/C][C]0[/C][C]0[/C][C]0.999373[/C][C]0[/C][/ROW]
[ROW][C][2450,2500[[/C][C]2475[/C][C]0[/C][C]0[/C][C]0.999373[/C][C]0[/C][/ROW]
[ROW][C][2500,2550[[/C][C]2525[/C][C]0[/C][C]0[/C][C]0.999373[/C][C]0[/C][/ROW]
[ROW][C][2550,2600][/C][C]2575[/C][C]1[/C][C]0.000627[/C][C]1[/C][C]1.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202529&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202529&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[50,100[75540.0338770.0338770.000678
[100,150[1253290.2063990.2402760.004128
[150,200[1753940.2471770.4874530.004944
[200,250[2252120.1329990.6204520.00266
[250,300[2752240.1405270.7609790.002811
[300,350[3251460.0915930.8525720.001832
[350,400[3751080.0677540.9203260.001355
[400,450[425570.0357590.9560850.000715
[450,500[475120.0075280.9636140.000151
[500,550[52550.0031370.966756.3e-05
[550,600[57550.0031370.9698876.3e-05
[600,650[62550.0031370.9730246.3e-05
[650,700[67550.0031370.9761616.3e-05
[700,750[72570.0043910.9805528.8e-05
[750,800[77530.0018820.9824343.8e-05
[800,850[82550.0031370.9855716.3e-05
[850,900[87510.0006270.9861981.3e-05
[900,950[92510.0006270.9868261.3e-05
[950,1000[975000.9868260
[1000,1050[102530.0018820.9887083.8e-05
[1050,1100[107530.0018820.990593.8e-05
[1100,1150[1125000.990590
[1150,1200[117520.0012550.9918442.5e-05
[1200,1250[122540.0025090.9943545e-05
[1250,1300[127510.0006270.9949811.3e-05
[1300,1350[1325000.9949810
[1350,1400[1375000.9949810
[1400,1450[142510.0006270.9956091.3e-05
[1450,1500[147510.0006270.9962361.3e-05
[1500,1550[1525000.9962360
[1550,1600[1575000.9962360
[1600,1650[1625000.9962360
[1650,1700[1675000.9962360
[1700,1750[1725000.9962360
[1750,1800[177510.0006270.9968631.3e-05
[1800,1850[1825000.9968630
[1850,1900[1875000.9968630
[1900,1950[1925000.9968630
[1950,2000[1975000.9968630
[2000,2050[2025000.9968630
[2050,2100[207510.0006270.9974911.3e-05
[2100,2150[212510.0006270.9981181.3e-05
[2150,2200[2175000.9981180
[2200,2250[2225000.9981180
[2250,2300[227510.0006270.9987451.3e-05
[2300,2350[2325000.9987450
[2350,2400[237510.0006270.9993731.3e-05
[2400,2450[2425000.9993730
[2450,2500[2475000.9993730
[2500,2550[2525000.9993730
[2550,2600]257510.00062711.3e-05


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 500 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = 500 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
R code (references can be found in the software module):
par4 <- 'Interval/Ratio'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '100'
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','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
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}