## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationSat, 07 Nov 2020 02:37:43 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Nov/07/t1604713301vysyahvjhh9nolv.htm/, Retrieved Wed, 21 Apr 2021 09:52:00 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 21 Apr 2021 09:52:00 +0200
QR Codes:

Original text written by user:casus sander adhd vraag 5van7 leerpad loi.nl Vraag 5 van 7 Wat wordt er verstaan onder percentiele normen? Wat is een nadeel van percentiele normen?
IsPrivate?No (this computation is public)
User-defined keywordsloi.nl propedeuse bachelor toegepaste psychologie percentiele normen psychodiagnostiek module
Estimated Impact0
Dataseries X:
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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] 1 seconds[/C][/ROW] [ROW] R Server[/C] Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 1 seconds R Server Big Analytics Cloud Computing Center

 Percentiles - Ungrouped Data p Weighted Average at Xnp Weighted Average at X(n+1)p Empirical Distribution Function Empirical Distribution Function - Averaging Empirical Distribution Function - Interpolation Closest Observation True Basic - Statistics Graphics Toolkit MS Excel (old versions) 0.01 107.52 107.6 112 112 112.86 104 108.4 104 0.02 113.76 113.8 114 114 114.86 114 112.2 114 0.03 115.96 116.05 118 118 118 115 116.95 115 0.04 118 118 118 118 118.72 118 118 118 0.05 119.4 119.5 121 121 121.6 119 120.5 119 0.06 123.56 123.8 125 125 125.58 125 122.2 125 0.07 126.24 126.45 129 129 129.03 126 128.55 126 0.08 130.56 130.8 132 132 132.44 132 130.2 132 0.09 132.96 133.1 133 133 134.74 133 134.9 133 0.1 135 135 135 135 135.3 135 135 135 0.11 135.84 135.95 136 136 138.92 136 135.05 136 0.12 140.28 140.4 141 141 141.64 140 140.6 140 0.13 143.88 144.4 145 145 145.59 145 141.6 145 0.14 146.32 146.6 148 148 148 146 147.4 146 0.15 148 148 148 148 148.45 148 148 148 0.16 149.04 149.2 150 150 149.88 149 149.8 149 0.17 153.84 155.2 158 158 159.24 150 152.8 158 0.18 161.68 162.1 162 162 162.74 162 162.9 162 0.19 164.08 164.65 166 166 166.68 163 164.35 166 0.2 169.2 170 170 170 170 170 170 170 0.21 170.24 170.45 171 171 171.03 170 170.55 170 0.22 171.68 171.9 172 172 172 172 171.1 172 0.23 172.72 174.1 178 178 177.34 172 175.9 172 0.24 178 178 178 178 178.64 178 178 178 0.25 180 180 180 180 180 180 180 180 0.26 180.44 180.7 181 181 181.36 180 180.3 181 0.27 182.76 183.15 183 183 183.61 183 183.85 183 0.28 185.28 186.4 188 188 188.12 184 185.6 188 0.29 190.28 191.1 191 191 191.94 191 192.9 191 0.3 193.2 193.5 194 194 193.9 193 193.5 193.5 0.31 195.28 195.9 196 196 196 196 194.1 196 0.32 196.24 197.2 199 199 198.28 196 197.8 196 0.33 199 199 199 199 199.38 199 199 199 0.34 200.92 201.6 201 201 202.24 201 202.4 201 0.35 203.4 203.75 204 204 204.25 203 203.25 204 0.36 208.2 209.4 209 209 209.96 209 210.6 209 0.37 212.96 215.55 218 218 217.37 211 213.45 218 0.38 224.48 227.2 227 227 227.68 227 228.8 227 0.39 229 229 229 229 229 229 229 229 0.4 229 229 229 229 229.2 229 229 229 0.41 230.12 231.35 233 233 231.89 230 231.65 230 0.42 233.48 233.9 234 234 234.06 233 233.1 234 0.43 234.92 235 235 235 235 235 235 235 0.44 235.36 235.8 236 236 235.92 235 235.2 236 0.45 236.8 237 237 237 237 237 237 237 0.46 238.2 240.5 242 242 240.9 237 238.5 242 0.47 242 242.15 242 242 242.21 242 242.85 242 0.48 244.92 252.6 259 259 253.24 243 249.4 259 0.49 261.8 264 264 264 264 264 264 264 0.5 264 265.5 264 265.5 265.5 264 265.5 265.5 0.51 267.88 268.9 269 269 268.86 267 267.1 269 0.52 269.88 270.4 270 270 270.36 270 270.6 270 0.53 271.32 271.85 272 272 271.79 271 271.15 272 0.54 273.52 274.9 274 274 274.66 274 276.1 274 0.55 277.2 277.75 278 278 277.65 277 277.25 278 0.56 281.84 285.8 284 284 284.72 284 291.2 284 0.57 293.64 298.2 301 301 297.08 293 295.8 301 0.58 301.52 302.3 302 302 301.94 302 304.7 302 0.59 304.88 305.55 305 305 305.37 305 305.45 306 0.6 306 306 306 306 306 306 306 306 0.61 309.36 310.9 310 310 310.46 310 311.1 310 0.62 312.28 312.9 313 313 312.66 312 312.1 313 0.63 314.44 315 315 315 315 315 315 315 0.64 315.32 316.6 317 317 316.04 315 315.4 317 0.65 317.6 318 318 318 317.95 318 318 318 0.66 318.72 330.6 336 336 324.84 318 323.4 336 0.67 336.48 337.45 337 337 336.81 336 339.55 337 0.68 339.76 341.2 340 340 340.48 340 340.8 342 0.69 343.8 347 347 347 345.35 342 347 347 0.7 347 347.5 347 347 347.1 347 347.5 347.5 0.71 348 348 348 348 348 348 348 348 0.72 352.76 355 355 355 354.72 355 355 355 0.73 355.12 355.85 356 356 355.39 355 355.15 356 0.74 357.68 359.3 359 359 358.46 359 359.7 359 0.75 360 361.5 360 361 360.5 360 360.5 362 0.76 362 362.2 362 362 362 362 362.8 362 0.77 362.88 363.65 363 363 363.11 363 363.35 364 0.78 367.2 375.6 374 374 369.4 364 388.4 374 0.79 386.16 390.55 390 390 389.52 390 390.45 391 0.8 392 396 396 396 393 391 396 396 0.81 401.12 404 404 404 402.64 404 404 404 0.82 404.08 404.9 405 405 404.26 404 404.1 405 0.83 405 405.35 405 405 405 405 405.65 405 0.84 405.96 406.8 406 406 406.12 406 406.2 407 0.85 409.4 414 413 413 410.3 407 416 413 0.86 416.36 418.4 417 417 416.92 417 417.6 419 0.87 419.28 420.3 420 420 419.41 419 421.7 420 0.88 421.44 428 422 422 421.68 422 426 432 0.89 432.48 436.3 435 435 432.81 432 459.7 435 0.9 450.6 461 461 461 453.2 461 461 461 0.91 461.08 462.9 463 463 461.26 461 461.1 463 0.92 463.96 465.8 465 465 464.12 463 466.2 465 0.93 466.84 471.25 467 467 466.98 467 467.75 472 0.94 472 477.7 472 472 472 472 485.3 472 0.95 487.2 501.5 491 491 488.15 491 494.5 505 0.96 505.72 513.4 508 508 505.84 505 529.6 508 0.97 526.36 543.45 535 535 527.17 535 539.55 548 0.98 549.32 563.7 559 559 549.54 548 601.3 559 0.99 585.32 614.8 606 606 585.79 606 613.2 622

\begin{tabular}{lllllllll}
\hline
Percentiles - Ungrouped Data \tabularnewline
p & Weighted Average at Xnp & Weighted Average at X(n+1)p & Empirical Distribution Function & Empirical Distribution Function - Averaging & Empirical Distribution Function - Interpolation & Closest Observation & True Basic - Statistics Graphics Toolkit & MS Excel (old versions) \tabularnewline
0.01 & 107.52 & 107.6 & 112 & 112 & 112.86 & 104 & 108.4 & 104 \tabularnewline
0.02 & 113.76 & 113.8 & 114 & 114 & 114.86 & 114 & 112.2 & 114 \tabularnewline
0.03 & 115.96 & 116.05 & 118 & 118 & 118 & 115 & 116.95 & 115 \tabularnewline
0.04 & 118 & 118 & 118 & 118 & 118.72 & 118 & 118 & 118 \tabularnewline
0.05 & 119.4 & 119.5 & 121 & 121 & 121.6 & 119 & 120.5 & 119 \tabularnewline
0.06 & 123.56 & 123.8 & 125 & 125 & 125.58 & 125 & 122.2 & 125 \tabularnewline
0.07 & 126.24 & 126.45 & 129 & 129 & 129.03 & 126 & 128.55 & 126 \tabularnewline
0.08 & 130.56 & 130.8 & 132 & 132 & 132.44 & 132 & 130.2 & 132 \tabularnewline
0.09 & 132.96 & 133.1 & 133 & 133 & 134.74 & 133 & 134.9 & 133 \tabularnewline
0.1 & 135 & 135 & 135 & 135 & 135.3 & 135 & 135 & 135 \tabularnewline
0.11 & 135.84 & 135.95 & 136 & 136 & 138.92 & 136 & 135.05 & 136 \tabularnewline
0.12 & 140.28 & 140.4 & 141 & 141 & 141.64 & 140 & 140.6 & 140 \tabularnewline
0.13 & 143.88 & 144.4 & 145 & 145 & 145.59 & 145 & 141.6 & 145 \tabularnewline
0.14 & 146.32 & 146.6 & 148 & 148 & 148 & 146 & 147.4 & 146 \tabularnewline
0.15 & 148 & 148 & 148 & 148 & 148.45 & 148 & 148 & 148 \tabularnewline
0.16 & 149.04 & 149.2 & 150 & 150 & 149.88 & 149 & 149.8 & 149 \tabularnewline
0.17 & 153.84 & 155.2 & 158 & 158 & 159.24 & 150 & 152.8 & 158 \tabularnewline
0.18 & 161.68 & 162.1 & 162 & 162 & 162.74 & 162 & 162.9 & 162 \tabularnewline
0.19 & 164.08 & 164.65 & 166 & 166 & 166.68 & 163 & 164.35 & 166 \tabularnewline
0.2 & 169.2 & 170 & 170 & 170 & 170 & 170 & 170 & 170 \tabularnewline
0.21 & 170.24 & 170.45 & 171 & 171 & 171.03 & 170 & 170.55 & 170 \tabularnewline
0.22 & 171.68 & 171.9 & 172 & 172 & 172 & 172 & 171.1 & 172 \tabularnewline
0.23 & 172.72 & 174.1 & 178 & 178 & 177.34 & 172 & 175.9 & 172 \tabularnewline
0.24 & 178 & 178 & 178 & 178 & 178.64 & 178 & 178 & 178 \tabularnewline
0.25 & 180 & 180 & 180 & 180 & 180 & 180 & 180 & 180 \tabularnewline
0.26 & 180.44 & 180.7 & 181 & 181 & 181.36 & 180 & 180.3 & 181 \tabularnewline
0.27 & 182.76 & 183.15 & 183 & 183 & 183.61 & 183 & 183.85 & 183 \tabularnewline
0.28 & 185.28 & 186.4 & 188 & 188 & 188.12 & 184 & 185.6 & 188 \tabularnewline
0.29 & 190.28 & 191.1 & 191 & 191 & 191.94 & 191 & 192.9 & 191 \tabularnewline
0.3 & 193.2 & 193.5 & 194 & 194 & 193.9 & 193 & 193.5 & 193.5 \tabularnewline
0.31 & 195.28 & 195.9 & 196 & 196 & 196 & 196 & 194.1 & 196 \tabularnewline
0.32 & 196.24 & 197.2 & 199 & 199 & 198.28 & 196 & 197.8 & 196 \tabularnewline
0.33 & 199 & 199 & 199 & 199 & 199.38 & 199 & 199 & 199 \tabularnewline
0.34 & 200.92 & 201.6 & 201 & 201 & 202.24 & 201 & 202.4 & 201 \tabularnewline
0.35 & 203.4 & 203.75 & 204 & 204 & 204.25 & 203 & 203.25 & 204 \tabularnewline
0.36 & 208.2 & 209.4 & 209 & 209 & 209.96 & 209 & 210.6 & 209 \tabularnewline
0.37 & 212.96 & 215.55 & 218 & 218 & 217.37 & 211 & 213.45 & 218 \tabularnewline
0.38 & 224.48 & 227.2 & 227 & 227 & 227.68 & 227 & 228.8 & 227 \tabularnewline
0.39 & 229 & 229 & 229 & 229 & 229 & 229 & 229 & 229 \tabularnewline
0.4 & 229 & 229 & 229 & 229 & 229.2 & 229 & 229 & 229 \tabularnewline
0.41 & 230.12 & 231.35 & 233 & 233 & 231.89 & 230 & 231.65 & 230 \tabularnewline
0.42 & 233.48 & 233.9 & 234 & 234 & 234.06 & 233 & 233.1 & 234 \tabularnewline
0.43 & 234.92 & 235 & 235 & 235 & 235 & 235 & 235 & 235 \tabularnewline
0.44 & 235.36 & 235.8 & 236 & 236 & 235.92 & 235 & 235.2 & 236 \tabularnewline
0.45 & 236.8 & 237 & 237 & 237 & 237 & 237 & 237 & 237 \tabularnewline
0.46 & 238.2 & 240.5 & 242 & 242 & 240.9 & 237 & 238.5 & 242 \tabularnewline
0.47 & 242 & 242.15 & 242 & 242 & 242.21 & 242 & 242.85 & 242 \tabularnewline
0.48 & 244.92 & 252.6 & 259 & 259 & 253.24 & 243 & 249.4 & 259 \tabularnewline
0.49 & 261.8 & 264 & 264 & 264 & 264 & 264 & 264 & 264 \tabularnewline
0.5 & 264 & 265.5 & 264 & 265.5 & 265.5 & 264 & 265.5 & 265.5 \tabularnewline
0.51 & 267.88 & 268.9 & 269 & 269 & 268.86 & 267 & 267.1 & 269 \tabularnewline
0.52 & 269.88 & 270.4 & 270 & 270 & 270.36 & 270 & 270.6 & 270 \tabularnewline
0.53 & 271.32 & 271.85 & 272 & 272 & 271.79 & 271 & 271.15 & 272 \tabularnewline
0.54 & 273.52 & 274.9 & 274 & 274 & 274.66 & 274 & 276.1 & 274 \tabularnewline
0.55 & 277.2 & 277.75 & 278 & 278 & 277.65 & 277 & 277.25 & 278 \tabularnewline
0.56 & 281.84 & 285.8 & 284 & 284 & 284.72 & 284 & 291.2 & 284 \tabularnewline
0.57 & 293.64 & 298.2 & 301 & 301 & 297.08 & 293 & 295.8 & 301 \tabularnewline
0.58 & 301.52 & 302.3 & 302 & 302 & 301.94 & 302 & 304.7 & 302 \tabularnewline
0.59 & 304.88 & 305.55 & 305 & 305 & 305.37 & 305 & 305.45 & 306 \tabularnewline
0.6 & 306 & 306 & 306 & 306 & 306 & 306 & 306 & 306 \tabularnewline
0.61 & 309.36 & 310.9 & 310 & 310 & 310.46 & 310 & 311.1 & 310 \tabularnewline
0.62 & 312.28 & 312.9 & 313 & 313 & 312.66 & 312 & 312.1 & 313 \tabularnewline
0.63 & 314.44 & 315 & 315 & 315 & 315 & 315 & 315 & 315 \tabularnewline
0.64 & 315.32 & 316.6 & 317 & 317 & 316.04 & 315 & 315.4 & 317 \tabularnewline
0.65 & 317.6 & 318 & 318 & 318 & 317.95 & 318 & 318 & 318 \tabularnewline
0.66 & 318.72 & 330.6 & 336 & 336 & 324.84 & 318 & 323.4 & 336 \tabularnewline
0.67 & 336.48 & 337.45 & 337 & 337 & 336.81 & 336 & 339.55 & 337 \tabularnewline
0.68 & 339.76 & 341.2 & 340 & 340 & 340.48 & 340 & 340.8 & 342 \tabularnewline
0.69 & 343.8 & 347 & 347 & 347 & 345.35 & 342 & 347 & 347 \tabularnewline
0.7 & 347 & 347.5 & 347 & 347 & 347.1 & 347 & 347.5 & 347.5 \tabularnewline
0.71 & 348 & 348 & 348 & 348 & 348 & 348 & 348 & 348 \tabularnewline
0.72 & 352.76 & 355 & 355 & 355 & 354.72 & 355 & 355 & 355 \tabularnewline
0.73 & 355.12 & 355.85 & 356 & 356 & 355.39 & 355 & 355.15 & 356 \tabularnewline
0.74 & 357.68 & 359.3 & 359 & 359 & 358.46 & 359 & 359.7 & 359 \tabularnewline
0.75 & 360 & 361.5 & 360 & 361 & 360.5 & 360 & 360.5 & 362 \tabularnewline
0.76 & 362 & 362.2 & 362 & 362 & 362 & 362 & 362.8 & 362 \tabularnewline
0.77 & 362.88 & 363.65 & 363 & 363 & 363.11 & 363 & 363.35 & 364 \tabularnewline
0.78 & 367.2 & 375.6 & 374 & 374 & 369.4 & 364 & 388.4 & 374 \tabularnewline
0.79 & 386.16 & 390.55 & 390 & 390 & 389.52 & 390 & 390.45 & 391 \tabularnewline
0.8 & 392 & 396 & 396 & 396 & 393 & 391 & 396 & 396 \tabularnewline
0.81 & 401.12 & 404 & 404 & 404 & 402.64 & 404 & 404 & 404 \tabularnewline
0.82 & 404.08 & 404.9 & 405 & 405 & 404.26 & 404 & 404.1 & 405 \tabularnewline
0.83 & 405 & 405.35 & 405 & 405 & 405 & 405 & 405.65 & 405 \tabularnewline
0.84 & 405.96 & 406.8 & 406 & 406 & 406.12 & 406 & 406.2 & 407 \tabularnewline
0.85 & 409.4 & 414 & 413 & 413 & 410.3 & 407 & 416 & 413 \tabularnewline
0.86 & 416.36 & 418.4 & 417 & 417 & 416.92 & 417 & 417.6 & 419 \tabularnewline
0.87 & 419.28 & 420.3 & 420 & 420 & 419.41 & 419 & 421.7 & 420 \tabularnewline
0.88 & 421.44 & 428 & 422 & 422 & 421.68 & 422 & 426 & 432 \tabularnewline
0.89 & 432.48 & 436.3 & 435 & 435 & 432.81 & 432 & 459.7 & 435 \tabularnewline
0.9 & 450.6 & 461 & 461 & 461 & 453.2 & 461 & 461 & 461 \tabularnewline
0.91 & 461.08 & 462.9 & 463 & 463 & 461.26 & 461 & 461.1 & 463 \tabularnewline
0.92 & 463.96 & 465.8 & 465 & 465 & 464.12 & 463 & 466.2 & 465 \tabularnewline
0.93 & 466.84 & 471.25 & 467 & 467 & 466.98 & 467 & 467.75 & 472 \tabularnewline
0.94 & 472 & 477.7 & 472 & 472 & 472 & 472 & 485.3 & 472 \tabularnewline
0.95 & 487.2 & 501.5 & 491 & 491 & 488.15 & 491 & 494.5 & 505 \tabularnewline
0.96 & 505.72 & 513.4 & 508 & 508 & 505.84 & 505 & 529.6 & 508 \tabularnewline
0.97 & 526.36 & 543.45 & 535 & 535 & 527.17 & 535 & 539.55 & 548 \tabularnewline
0.98 & 549.32 & 563.7 & 559 & 559 & 549.54 & 548 & 601.3 & 559 \tabularnewline
0.99 & 585.32 & 614.8 & 606 & 606 & 585.79 & 606 & 613.2 & 622 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Percentiles - Ungrouped Data[/C][/ROW]
[ROW][C]p[/C][C]Weighted Average at Xnp[/C][C]Weighted Average at X(n+1)p[/C][C]Empirical Distribution Function[/C][C]Empirical Distribution Function - Averaging[/C][C]Empirical Distribution Function - Interpolation[/C][C]Closest Observation[/C][C]True Basic - Statistics Graphics Toolkit[/C][C]MS Excel (old versions)[/C][/ROW]
[ROW][C]0.01[/C][C]107.52[/C][C]107.6[/C][C]112[/C][C]112[/C][C]112.86[/C][C]104[/C][C]108.4[/C][C]104[/C][/ROW]
[ROW][C]0.02[/C][C]113.76[/C][C]113.8[/C][C]114[/C][C]114[/C][C]114.86[/C][C]114[/C][C]112.2[/C][C]114[/C][/ROW]
[ROW][C]0.03[/C][C]115.96[/C][C]116.05[/C][C]118[/C][C]118[/C][C]118[/C][C]115[/C][C]116.95[/C][C]115[/C][/ROW]
[ROW][C]0.04[/C][C]118[/C][C]118[/C][C]118[/C][C]118[/C][C]118.72[/C][C]118[/C][C]118[/C][C]118[/C][/ROW]
[ROW][C]0.05[/C][C]119.4[/C][C]119.5[/C][C]121[/C][C]121[/C][C]121.6[/C][C]119[/C][C]120.5[/C][C]119[/C][/ROW]
[ROW][C]0.06[/C][C]123.56[/C][C]123.8[/C][C]125[/C][C]125[/C][C]125.58[/C][C]125[/C][C]122.2[/C][C]125[/C][/ROW]
[ROW][C]0.07[/C][C]126.24[/C][C]126.45[/C][C]129[/C][C]129[/C][C]129.03[/C][C]126[/C][C]128.55[/C][C]126[/C][/ROW]
[ROW][C]0.08[/C][C]130.56[/C][C]130.8[/C][C]132[/C][C]132[/C][C]132.44[/C][C]132[/C][C]130.2[/C][C]132[/C][/ROW]
[ROW][C]0.09[/C][C]132.96[/C][C]133.1[/C][C]133[/C][C]133[/C][C]134.74[/C][C]133[/C][C]134.9[/C][C]133[/C][/ROW]
[ROW][C]0.1[/C][C]135[/C][C]135[/C][C]135[/C][C]135[/C][C]135.3[/C][C]135[/C][C]135[/C][C]135[/C][/ROW]
[ROW][C]0.11[/C][C]135.84[/C][C]135.95[/C][C]136[/C][C]136[/C][C]138.92[/C][C]136[/C][C]135.05[/C][C]136[/C][/ROW]
[ROW][C]0.12[/C][C]140.28[/C][C]140.4[/C][C]141[/C][C]141[/C][C]141.64[/C][C]140[/C][C]140.6[/C][C]140[/C][/ROW]
[ROW][C]0.13[/C][C]143.88[/C][C]144.4[/C][C]145[/C][C]145[/C][C]145.59[/C][C]145[/C][C]141.6[/C][C]145[/C][/ROW]
[ROW][C]0.14[/C][C]146.32[/C][C]146.6[/C][C]148[/C][C]148[/C][C]148[/C][C]146[/C][C]147.4[/C][C]146[/C][/ROW]
[ROW][C]0.15[/C][C]148[/C][C]148[/C][C]148[/C][C]148[/C][C]148.45[/C][C]148[/C][C]148[/C][C]148[/C][/ROW]
[ROW][C]0.16[/C][C]149.04[/C][C]149.2[/C][C]150[/C][C]150[/C][C]149.88[/C][C]149[/C][C]149.8[/C][C]149[/C][/ROW]
[ROW][C]0.17[/C][C]153.84[/C][C]155.2[/C][C]158[/C][C]158[/C][C]159.24[/C][C]150[/C][C]152.8[/C][C]158[/C][/ROW]
[ROW][C]0.18[/C][C]161.68[/C][C]162.1[/C][C]162[/C][C]162[/C][C]162.74[/C][C]162[/C][C]162.9[/C][C]162[/C][/ROW]
[ROW][C]0.19[/C][C]164.08[/C][C]164.65[/C][C]166[/C][C]166[/C][C]166.68[/C][C]163[/C][C]164.35[/C][C]166[/C][/ROW]
[ROW][C]0.2[/C][C]169.2[/C][C]170[/C][C]170[/C][C]170[/C][C]170[/C][C]170[/C][C]170[/C][C]170[/C][/ROW]
[ROW][C]0.21[/C][C]170.24[/C][C]170.45[/C][C]171[/C][C]171[/C][C]171.03[/C][C]170[/C][C]170.55[/C][C]170[/C][/ROW]
[ROW][C]0.22[/C][C]171.68[/C][C]171.9[/C][C]172[/C][C]172[/C][C]172[/C][C]172[/C][C]171.1[/C][C]172[/C][/ROW]
[ROW][C]0.23[/C][C]172.72[/C][C]174.1[/C][C]178[/C][C]178[/C][C]177.34[/C][C]172[/C][C]175.9[/C][C]172[/C][/ROW]
[ROW][C]0.24[/C][C]178[/C][C]178[/C][C]178[/C][C]178[/C][C]178.64[/C][C]178[/C][C]178[/C][C]178[/C][/ROW]
[ROW][C]0.25[/C][C]180[/C][C]180[/C][C]180[/C][C]180[/C][C]180[/C][C]180[/C][C]180[/C][C]180[/C][/ROW]
[ROW][C]0.26[/C][C]180.44[/C][C]180.7[/C][C]181[/C][C]181[/C][C]181.36[/C][C]180[/C][C]180.3[/C][C]181[/C][/ROW]
[ROW][C]0.27[/C][C]182.76[/C][C]183.15[/C][C]183[/C][C]183[/C][C]183.61[/C][C]183[/C][C]183.85[/C][C]183[/C][/ROW]
[ROW][C]0.28[/C][C]185.28[/C][C]186.4[/C][C]188[/C][C]188[/C][C]188.12[/C][C]184[/C][C]185.6[/C][C]188[/C][/ROW]
[ROW][C]0.29[/C][C]190.28[/C][C]191.1[/C][C]191[/C][C]191[/C][C]191.94[/C][C]191[/C][C]192.9[/C][C]191[/C][/ROW]
[ROW][C]0.3[/C][C]193.2[/C][C]193.5[/C][C]194[/C][C]194[/C][C]193.9[/C][C]193[/C][C]193.5[/C][C]193.5[/C][/ROW]
[ROW][C]0.31[/C][C]195.28[/C][C]195.9[/C][C]196[/C][C]196[/C][C]196[/C][C]196[/C][C]194.1[/C][C]196[/C][/ROW]
[ROW][C]0.32[/C][C]196.24[/C][C]197.2[/C][C]199[/C][C]199[/C][C]198.28[/C][C]196[/C][C]197.8[/C][C]196[/C][/ROW]
[ROW][C]0.33[/C][C]199[/C][C]199[/C][C]199[/C][C]199[/C][C]199.38[/C][C]199[/C][C]199[/C][C]199[/C][/ROW]
[ROW][C]0.34[/C][C]200.92[/C][C]201.6[/C][C]201[/C][C]201[/C][C]202.24[/C][C]201[/C][C]202.4[/C][C]201[/C][/ROW]
[ROW][C]0.35[/C][C]203.4[/C][C]203.75[/C][C]204[/C][C]204[/C][C]204.25[/C][C]203[/C][C]203.25[/C][C]204[/C][/ROW]
[ROW][C]0.36[/C][C]208.2[/C][C]209.4[/C][C]209[/C][C]209[/C][C]209.96[/C][C]209[/C][C]210.6[/C][C]209[/C][/ROW]
[ROW][C]0.37[/C][C]212.96[/C][C]215.55[/C][C]218[/C][C]218[/C][C]217.37[/C][C]211[/C][C]213.45[/C][C]218[/C][/ROW]
[ROW][C]0.38[/C][C]224.48[/C][C]227.2[/C][C]227[/C][C]227[/C][C]227.68[/C][C]227[/C][C]228.8[/C][C]227[/C][/ROW]
[ROW][C]0.39[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][/ROW]
[ROW][C]0.4[/C][C]229[/C][C]229[/C][C]229[/C][C]229[/C][C]229.2[/C][C]229[/C][C]229[/C][C]229[/C][/ROW]
[ROW][C]0.41[/C][C]230.12[/C][C]231.35[/C][C]233[/C][C]233[/C][C]231.89[/C][C]230[/C][C]231.65[/C][C]230[/C][/ROW]
[ROW][C]0.42[/C][C]233.48[/C][C]233.9[/C][C]234[/C][C]234[/C][C]234.06[/C][C]233[/C][C]233.1[/C][C]234[/C][/ROW]
[ROW][C]0.43[/C][C]234.92[/C][C]235[/C][C]235[/C][C]235[/C][C]235[/C][C]235[/C][C]235[/C][C]235[/C][/ROW]
[ROW][C]0.44[/C][C]235.36[/C][C]235.8[/C][C]236[/C][C]236[/C][C]235.92[/C][C]235[/C][C]235.2[/C][C]236[/C][/ROW]
[ROW][C]0.45[/C][C]236.8[/C][C]237[/C][C]237[/C][C]237[/C][C]237[/C][C]237[/C][C]237[/C][C]237[/C][/ROW]
[ROW][C]0.46[/C][C]238.2[/C][C]240.5[/C][C]242[/C][C]242[/C][C]240.9[/C][C]237[/C][C]238.5[/C][C]242[/C][/ROW]
[ROW][C]0.47[/C][C]242[/C][C]242.15[/C][C]242[/C][C]242[/C][C]242.21[/C][C]242[/C][C]242.85[/C][C]242[/C][/ROW]
[ROW][C]0.48[/C][C]244.92[/C][C]252.6[/C][C]259[/C][C]259[/C][C]253.24[/C][C]243[/C][C]249.4[/C][C]259[/C][/ROW]
[ROW][C]0.49[/C][C]261.8[/C][C]264[/C][C]264[/C][C]264[/C][C]264[/C][C]264[/C][C]264[/C][C]264[/C][/ROW]
[ROW][C]0.5[/C][C]264[/C][C]265.5[/C][C]264[/C][C]265.5[/C][C]265.5[/C][C]264[/C][C]265.5[/C][C]265.5[/C][/ROW]
[ROW][C]0.51[/C][C]267.88[/C][C]268.9[/C][C]269[/C][C]269[/C][C]268.86[/C][C]267[/C][C]267.1[/C][C]269[/C][/ROW]
[ROW][C]0.52[/C][C]269.88[/C][C]270.4[/C][C]270[/C][C]270[/C][C]270.36[/C][C]270[/C][C]270.6[/C][C]270[/C][/ROW]
[ROW][C]0.53[/C][C]271.32[/C][C]271.85[/C][C]272[/C][C]272[/C][C]271.79[/C][C]271[/C][C]271.15[/C][C]272[/C][/ROW]
[ROW][C]0.54[/C][C]273.52[/C][C]274.9[/C][C]274[/C][C]274[/C][C]274.66[/C][C]274[/C][C]276.1[/C][C]274[/C][/ROW]
[ROW][C]0.55[/C][C]277.2[/C][C]277.75[/C][C]278[/C][C]278[/C][C]277.65[/C][C]277[/C][C]277.25[/C][C]278[/C][/ROW]
[ROW][C]0.56[/C][C]281.84[/C][C]285.8[/C][C]284[/C][C]284[/C][C]284.72[/C][C]284[/C][C]291.2[/C][C]284[/C][/ROW]
[ROW][C]0.57[/C][C]293.64[/C][C]298.2[/C][C]301[/C][C]301[/C][C]297.08[/C][C]293[/C][C]295.8[/C][C]301[/C][/ROW]
[ROW][C]0.58[/C][C]301.52[/C][C]302.3[/C][C]302[/C][C]302[/C][C]301.94[/C][C]302[/C][C]304.7[/C][C]302[/C][/ROW]
[ROW][C]0.59[/C][C]304.88[/C][C]305.55[/C][C]305[/C][C]305[/C][C]305.37[/C][C]305[/C][C]305.45[/C][C]306[/C][/ROW]
[ROW][C]0.6[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][C]306[/C][/ROW]
[ROW][C]0.61[/C][C]309.36[/C][C]310.9[/C][C]310[/C][C]310[/C][C]310.46[/C][C]310[/C][C]311.1[/C][C]310[/C][/ROW]
[ROW][C]0.62[/C][C]312.28[/C][C]312.9[/C][C]313[/C][C]313[/C][C]312.66[/C][C]312[/C][C]312.1[/C][C]313[/C][/ROW]
[ROW][C]0.63[/C][C]314.44[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][C]315[/C][/ROW]
[ROW][C]0.64[/C][C]315.32[/C][C]316.6[/C][C]317[/C][C]317[/C][C]316.04[/C][C]315[/C][C]315.4[/C][C]317[/C][/ROW]
[ROW][C]0.65[/C][C]317.6[/C][C]318[/C][C]318[/C][C]318[/C][C]317.95[/C][C]318[/C][C]318[/C][C]318[/C][/ROW]
[ROW][C]0.66[/C][C]318.72[/C][C]330.6[/C][C]336[/C][C]336[/C][C]324.84[/C][C]318[/C][C]323.4[/C][C]336[/C][/ROW]
[ROW][C]0.67[/C][C]336.48[/C][C]337.45[/C][C]337[/C][C]337[/C][C]336.81[/C][C]336[/C][C]339.55[/C][C]337[/C][/ROW]
[ROW][C]0.68[/C][C]339.76[/C][C]341.2[/C][C]340[/C][C]340[/C][C]340.48[/C][C]340[/C][C]340.8[/C][C]342[/C][/ROW]
[ROW][C]0.69[/C][C]343.8[/C][C]347[/C][C]347[/C][C]347[/C][C]345.35[/C][C]342[/C][C]347[/C][C]347[/C][/ROW]
[ROW][C]0.7[/C][C]347[/C][C]347.5[/C][C]347[/C][C]347[/C][C]347.1[/C][C]347[/C][C]347.5[/C][C]347.5[/C][/ROW]
[ROW][C]0.71[/C][C]348[/C][C]348[/C][C]348[/C][C]348[/C][C]348[/C][C]348[/C][C]348[/C][C]348[/C][/ROW]
[ROW][C]0.72[/C][C]352.76[/C][C]355[/C][C]355[/C][C]355[/C][C]354.72[/C][C]355[/C][C]355[/C][C]355[/C][/ROW]
[ROW][C]0.73[/C][C]355.12[/C][C]355.85[/C][C]356[/C][C]356[/C][C]355.39[/C][C]355[/C][C]355.15[/C][C]356[/C][/ROW]
[ROW][C]0.74[/C][C]357.68[/C][C]359.3[/C][C]359[/C][C]359[/C][C]358.46[/C][C]359[/C][C]359.7[/C][C]359[/C][/ROW]
[ROW][C]0.75[/C][C]360[/C][C]361.5[/C][C]360[/C][C]361[/C][C]360.5[/C][C]360[/C][C]360.5[/C][C]362[/C][/ROW]
[ROW][C]0.76[/C][C]362[/C][C]362.2[/C][C]362[/C][C]362[/C][C]362[/C][C]362[/C][C]362.8[/C][C]362[/C][/ROW]
[ROW][C]0.77[/C][C]362.88[/C][C]363.65[/C][C]363[/C][C]363[/C][C]363.11[/C][C]363[/C][C]363.35[/C][C]364[/C][/ROW]
[ROW][C]0.78[/C][C]367.2[/C][C]375.6[/C][C]374[/C][C]374[/C][C]369.4[/C][C]364[/C][C]388.4[/C][C]374[/C][/ROW]
[ROW][C]0.79[/C][C]386.16[/C][C]390.55[/C][C]390[/C][C]390[/C][C]389.52[/C][C]390[/C][C]390.45[/C][C]391[/C][/ROW]
[ROW][C]0.8[/C][C]392[/C][C]396[/C][C]396[/C][C]396[/C][C]393[/C][C]391[/C][C]396[/C][C]396[/C][/ROW]
[ROW][C]0.81[/C][C]401.12[/C][C]404[/C][C]404[/C][C]404[/C][C]402.64[/C][C]404[/C][C]404[/C][C]404[/C][/ROW]
[ROW][C]0.82[/C][C]404.08[/C][C]404.9[/C][C]405[/C][C]405[/C][C]404.26[/C][C]404[/C][C]404.1[/C][C]405[/C][/ROW]
[ROW][C]0.83[/C][C]405[/C][C]405.35[/C][C]405[/C][C]405[/C][C]405[/C][C]405[/C][C]405.65[/C][C]405[/C][/ROW]
[ROW][C]0.84[/C][C]405.96[/C][C]406.8[/C][C]406[/C][C]406[/C][C]406.12[/C][C]406[/C][C]406.2[/C][C]407[/C][/ROW]
[ROW][C]0.85[/C][C]409.4[/C][C]414[/C][C]413[/C][C]413[/C][C]410.3[/C][C]407[/C][C]416[/C][C]413[/C][/ROW]
[ROW][C]0.86[/C][C]416.36[/C][C]418.4[/C][C]417[/C][C]417[/C][C]416.92[/C][C]417[/C][C]417.6[/C][C]419[/C][/ROW]
[ROW][C]0.87[/C][C]419.28[/C][C]420.3[/C][C]420[/C][C]420[/C][C]419.41[/C][C]419[/C][C]421.7[/C][C]420[/C][/ROW]
[ROW][C]0.88[/C][C]421.44[/C][C]428[/C][C]422[/C][C]422[/C][C]421.68[/C][C]422[/C][C]426[/C][C]432[/C][/ROW]
[ROW][C]0.89[/C][C]432.48[/C][C]436.3[/C][C]435[/C][C]435[/C][C]432.81[/C][C]432[/C][C]459.7[/C][C]435[/C][/ROW]
[ROW][C]0.9[/C][C]450.6[/C][C]461[/C][C]461[/C][C]461[/C][C]453.2[/C][C]461[/C][C]461[/C][C]461[/C][/ROW]
[ROW][C]0.91[/C][C]461.08[/C][C]462.9[/C][C]463[/C][C]463[/C][C]461.26[/C][C]461[/C][C]461.1[/C][C]463[/C][/ROW]
[ROW][C]0.92[/C][C]463.96[/C][C]465.8[/C][C]465[/C][C]465[/C][C]464.12[/C][C]463[/C][C]466.2[/C][C]465[/C][/ROW]
[ROW][C]0.93[/C][C]466.84[/C][C]471.25[/C][C]467[/C][C]467[/C][C]466.98[/C][C]467[/C][C]467.75[/C][C]472[/C][/ROW]
[ROW][C]0.94[/C][C]472[/C][C]477.7[/C][C]472[/C][C]472[/C][C]472[/C][C]472[/C][C]485.3[/C][C]472[/C][/ROW]
[ROW][C]0.95[/C][C]487.2[/C][C]501.5[/C][C]491[/C][C]491[/C][C]488.15[/C][C]491[/C][C]494.5[/C][C]505[/C][/ROW]
[ROW][C]0.96[/C][C]505.72[/C][C]513.4[/C][C]508[/C][C]508[/C][C]505.84[/C][C]505[/C][C]529.6[/C][C]508[/C][/ROW]
[ROW][C]0.97[/C][C]526.36[/C][C]543.45[/C][C]535[/C][C]535[/C][C]527.17[/C][C]535[/C][C]539.55[/C][C]548[/C][/ROW]
[ROW][C]0.98[/C][C]549.32[/C][C]563.7[/C][C]559[/C][C]559[/C][C]549.54[/C][C]548[/C][C]601.3[/C][C]559[/C][/ROW]
[ROW][C]0.99[/C][C]585.32[/C][C]614.8[/C][C]606[/C][C]606[/C][C]585.79[/C][C]606[/C][C]613.2[/C][C]622[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

As an alternative you can also use a QR Code:

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

 Percentiles - Ungrouped Data p Weighted Average at Xnp Weighted Average at X(n+1)p Empirical Distribution Function Empirical Distribution Function - Averaging Empirical Distribution Function - Interpolation Closest Observation True Basic - Statistics Graphics Toolkit MS Excel (old versions) 0.01 107.52 107.6 112 112 112.86 104 108.4 104 0.02 113.76 113.8 114 114 114.86 114 112.2 114 0.03 115.96 116.05 118 118 118 115 116.95 115 0.04 118 118 118 118 118.72 118 118 118 0.05 119.4 119.5 121 121 121.6 119 120.5 119 0.06 123.56 123.8 125 125 125.58 125 122.2 125 0.07 126.24 126.45 129 129 129.03 126 128.55 126 0.08 130.56 130.8 132 132 132.44 132 130.2 132 0.09 132.96 133.1 133 133 134.74 133 134.9 133 0.1 135 135 135 135 135.3 135 135 135 0.11 135.84 135.95 136 136 138.92 136 135.05 136 0.12 140.28 140.4 141 141 141.64 140 140.6 140 0.13 143.88 144.4 145 145 145.59 145 141.6 145 0.14 146.32 146.6 148 148 148 146 147.4 146 0.15 148 148 148 148 148.45 148 148 148 0.16 149.04 149.2 150 150 149.88 149 149.8 149 0.17 153.84 155.2 158 158 159.24 150 152.8 158 0.18 161.68 162.1 162 162 162.74 162 162.9 162 0.19 164.08 164.65 166 166 166.68 163 164.35 166 0.2 169.2 170 170 170 170 170 170 170 0.21 170.24 170.45 171 171 171.03 170 170.55 170 0.22 171.68 171.9 172 172 172 172 171.1 172 0.23 172.72 174.1 178 178 177.34 172 175.9 172 0.24 178 178 178 178 178.64 178 178 178 0.25 180 180 180 180 180 180 180 180 0.26 180.44 180.7 181 181 181.36 180 180.3 181 0.27 182.76 183.15 183 183 183.61 183 183.85 183 0.28 185.28 186.4 188 188 188.12 184 185.6 188 0.29 190.28 191.1 191 191 191.94 191 192.9 191 0.3 193.2 193.5 194 194 193.9 193 193.5 193.5 0.31 195.28 195.9 196 196 196 196 194.1 196 0.32 196.24 197.2 199 199 198.28 196 197.8 196 0.33 199 199 199 199 199.38 199 199 199 0.34 200.92 201.6 201 201 202.24 201 202.4 201 0.35 203.4 203.75 204 204 204.25 203 203.25 204 0.36 208.2 209.4 209 209 209.96 209 210.6 209 0.37 212.96 215.55 218 218 217.37 211 213.45 218 0.38 224.48 227.2 227 227 227.68 227 228.8 227 0.39 229 229 229 229 229 229 229 229 0.4 229 229 229 229 229.2 229 229 229 0.41 230.12 231.35 233 233 231.89 230 231.65 230 0.42 233.48 233.9 234 234 234.06 233 233.1 234 0.43 234.92 235 235 235 235 235 235 235 0.44 235.36 235.8 236 236 235.92 235 235.2 236 0.45 236.8 237 237 237 237 237 237 237 0.46 238.2 240.5 242 242 240.9 237 238.5 242 0.47 242 242.15 242 242 242.21 242 242.85 242 0.48 244.92 252.6 259 259 253.24 243 249.4 259 0.49 261.8 264 264 264 264 264 264 264 0.5 264 265.5 264 265.5 265.5 264 265.5 265.5 0.51 267.88 268.9 269 269 268.86 267 267.1 269 0.52 269.88 270.4 270 270 270.36 270 270.6 270 0.53 271.32 271.85 272 272 271.79 271 271.15 272 0.54 273.52 274.9 274 274 274.66 274 276.1 274 0.55 277.2 277.75 278 278 277.65 277 277.25 278 0.56 281.84 285.8 284 284 284.72 284 291.2 284 0.57 293.64 298.2 301 301 297.08 293 295.8 301 0.58 301.52 302.3 302 302 301.94 302 304.7 302 0.59 304.88 305.55 305 305 305.37 305 305.45 306 0.6 306 306 306 306 306 306 306 306 0.61 309.36 310.9 310 310 310.46 310 311.1 310 0.62 312.28 312.9 313 313 312.66 312 312.1 313 0.63 314.44 315 315 315 315 315 315 315 0.64 315.32 316.6 317 317 316.04 315 315.4 317 0.65 317.6 318 318 318 317.95 318 318 318 0.66 318.72 330.6 336 336 324.84 318 323.4 336 0.67 336.48 337.45 337 337 336.81 336 339.55 337 0.68 339.76 341.2 340 340 340.48 340 340.8 342 0.69 343.8 347 347 347 345.35 342 347 347 0.7 347 347.5 347 347 347.1 347 347.5 347.5 0.71 348 348 348 348 348 348 348 348 0.72 352.76 355 355 355 354.72 355 355 355 0.73 355.12 355.85 356 356 355.39 355 355.15 356 0.74 357.68 359.3 359 359 358.46 359 359.7 359 0.75 360 361.5 360 361 360.5 360 360.5 362 0.76 362 362.2 362 362 362 362 362.8 362 0.77 362.88 363.65 363 363 363.11 363 363.35 364 0.78 367.2 375.6 374 374 369.4 364 388.4 374 0.79 386.16 390.55 390 390 389.52 390 390.45 391 0.8 392 396 396 396 393 391 396 396 0.81 401.12 404 404 404 402.64 404 404 404 0.82 404.08 404.9 405 405 404.26 404 404.1 405 0.83 405 405.35 405 405 405 405 405.65 405 0.84 405.96 406.8 406 406 406.12 406 406.2 407 0.85 409.4 414 413 413 410.3 407 416 413 0.86 416.36 418.4 417 417 416.92 417 417.6 419 0.87 419.28 420.3 420 420 419.41 419 421.7 420 0.88 421.44 428 422 422 421.68 422 426 432 0.89 432.48 436.3 435 435 432.81 432 459.7 435 0.9 450.6 461 461 461 453.2 461 461 461 0.91 461.08 462.9 463 463 461.26 461 461.1 463 0.92 463.96 465.8 465 465 464.12 463 466.2 465 0.93 466.84 471.25 467 467 466.98 467 467.75 472 0.94 472 477.7 472 472 472 472 485.3 472 0.95 487.2 501.5 491 491 488.15 491 494.5 505 0.96 505.72 513.4 508 508 505.84 505 529.6 508 0.97 526.36 543.45 535 535 527.17 535 539.55 548 0.98 549.32 563.7 559 559 549.54 548 601.3 559 0.99 585.32 614.8 606 606 585.79 606 613.2 622

x <-sort(x[!is.na(x)])q1 <- function(data,n,p,i,f) {np <- n*p;i <<- floor(np)f <<- np - iqvalue <- (1-f)*data[i] + f*data[i+1]}q2 <- function(data,n,p,i,f) {np <- (n+1)*pi <<- floor(np)f <<- np - iqvalue <- (1-f)*data[i] + f*data[i+1]}q3 <- function(data,n,p,i,f) {np <- n*pi <<- floor(np)f <<- np - iif (f==0) {qvalue <- data[i]} else {qvalue <- data[i+1]}}q4 <- function(data,n,p,i,f) {np <- n*pi <<- floor(np)f <<- np - iif (f==0) {qvalue <- (data[i]+data[i+1])/2} else {qvalue <- data[i+1]}}q5 <- function(data,n,p,i,f) {np <- (n-1)*pi <<- floor(np)f <<- np - iif (f==0) {qvalue <- data[i+1]} else {qvalue <- data[i+1] + f*(data[i+2]-data[i+1])}}q6 <- function(data,n,p,i,f) {np <- n*p+0.5i <<- floor(np)f <<- np - iqvalue <- data[i]}q7 <- function(data,n,p,i,f) {np <- (n+1)*pi <<- floor(np)f <<- np - iif (f==0) {qvalue <- data[i]} else {qvalue <- f*data[i] + (1-f)*data[i+1]}}q8 <- function(data,n,p,i,f) {np <- (n+1)*pi <<- floor(np)f <<- np - iif (f==0) {qvalue <- data[i]} else {if (f == 0.5) {qvalue <- (data[i]+data[i+1])/2} else {if (f < 0.5) {qvalue <- data[i]} else {qvalue <- data[i+1]}}}}lx <- length(x)qval <- array(NA,dim=c(99,8))mystep <- 25mystart <- 25if (lx>10){mystep=10mystart=10}if (lx>20){mystep=5mystart=5}if (lx>50){mystep=2mystart=2}if (lx>=100){mystep=1mystart=1}for (perc in seq(mystart,99,mystep)) {qval[perc,1] <- q1(x,lx,perc/100,i,f)qval[perc,2] <- q2(x,lx,perc/100,i,f)qval[perc,3] <- q3(x,lx,perc/100,i,f)qval[perc,4] <- q4(x,lx,perc/100,i,f)qval[perc,5] <- q5(x,lx,perc/100,i,f)qval[perc,6] <- q6(x,lx,perc/100,i,f)qval[perc,7] <- q7(x,lx,perc/100,i,f)qval[perc,8] <- q8(x,lx,perc/100,i,f)}bitmap(file='test1.png')myqqnorm <- qqnorm(x,col=2)qqline(x)grid()dev.off()load(file='createtable')a<-table.start()a<-table.row.start(a)a<-table.element(a,'Percentiles - Ungrouped Data',9,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'p',1,TRUE)a<-table.element(a, 'Weighted Average at Xnp',1,TRUE)a<-table.element(a, 'Weighted Average at X(n+1)p',1,TRUE)a<-table.element(a, 'Empirical Distribution Function',1,TRUE)a<-table.element(a, 'Empirical Distribution Function - Averaging',1,TRUE)a<-table.element(a, 'Empirical Distribution Function - Interpolation',1,TRUE)a<-table.element(a, 'Closest Observation',1,TRUE)a<-table.element(a, 'True Basic - Statistics Graphics Toolkit',1,TRUE)a<-table.element(a, 'MS Excel (old versions)',1,TRUE)a<-table.row.end(a)for (perc in seq(mystart,99,mystep)) {a<-table.row.start(a)a<-table.element(a,round(perc/100,2),1,TRUE)for (j in 1:8) {a<-table.element(a,signif(qval[perc,j],6))}a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable.tab')