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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_percentiles.wasp
Title produced by softwarePercentiles
Date of computationFri, 23 Dec 2011 04:03:44 -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/2011/Dec/23/t1324631041tixqcm9ego6j294.htm/, Retrieved Mon, 29 Apr 2024 18:43:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160211, Retrieved Mon, 29 Apr 2024 18:43:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R P   [Histogram] [Workshop 1: Task 3] [2011-10-04 18:01:03] [f722e8e78b9e5c5ebaa2263f273aa636]
-         [Histogram] [Paper: Histogram] [2011-12-21 11:23:29] [f722e8e78b9e5c5ebaa2263f273aa636]
- RMPD      [Univariate Data Series] [Paper: Run Sequen...] [2011-12-21 23:42:11] [f722e8e78b9e5c5ebaa2263f273aa636]
- R           [Univariate Data Series] [Paper: Run Sequen...] [2011-12-21 23:57:05] [f722e8e78b9e5c5ebaa2263f273aa636]
- RMP           [Percentiles] [Paper: Q-Q plot] [2011-12-22 20:16:49] [f722e8e78b9e5c5ebaa2263f273aa636]
- R  D            [Percentiles] [Paper: Q-Q plot] [2011-12-22 20:20:03] [f722e8e78b9e5c5ebaa2263f273aa636]
-   PD              [Percentiles] [Paper: Q-Q plot Z...] [2011-12-23 09:02:43] [f722e8e78b9e5c5ebaa2263f273aa636]
-    D                  [Percentiles] [Paper: Q-Q plot V...] [2011-12-23 09:03:44] [3e64eea457df40fcb7af8f28e1ee6256] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,439
1,444
1,435
1,430
1,427
1,453
1,448
1,456
1,449
1,437
1,437
1,428
1,413
1,406
1,414
1,415
1,409
1,407
1,400
1,397
1,391
1,394
1,398
1,385
1,369
1,368
1,376
1,374
1,372
1,357
1,361
1,365
1,373
1,357
1,352
1,363
1,358
1,355
1,349
1,357
1,353
1,355
1,364
1,367
1,358
1,366
1,356
1,361
1,366
1,377
1,371
1,372
1,376
1,366
1,355
1,347
1,352
1,334
1,336
1,335
1,347
1,348
1,348
1,347
1,340
1,334
1,330
1,338
1,359
1,358
1,362
1,354
1,354
1,343
1,349
1,337
1,334
1,331
1,332
1,329
1,325
1,326
1,332
1,324
1,309
1,292
1,273
1,275
1,297
1,270
1,267
1,259
1,249
1,235
1,243
1,227
1,233
1,250
1,236
1,222
1,231
1,226
1,238
1,231
1,216
1,222
1,227
1,206
1,196
1,194
1,201
1,205
1,213
1,225
1,226
1,228
1,236
1,237
1,239
1,226
1,227
1,226
1,229
1,234
1,220
1,227
1,233
1,255
1,253
1,258
1,257
1,266
1,264
1,257
1,257
1,270
1,283
1,300
1,296
1,284
1,282
1,285
1,290
1,293
1,303
1,299
1,307
1,303
1,307
1,322
1,321
1,318
1,318
1,325
1,313
1,302
1,279
1,280
1,282
1,286
1,288
1,284
1,271
1,270
1,261
1,261
1,269
1,271
1,270
1,268
1,280
1,282
1,283
1,287
1,274
1,270
1,272
1,273
1,280
1,285
1,299
1,308
1,306
1,307
1,312
1,336
1,332
1,341
1,348
1,346
1,361
1,365
1,373
1,371
1,378
1,386
1,397
1,387
1,394
1,383
1,396
1,410
1,409
1,390
1,386
1,386
1,402
1,393
1,403
1,391
1,380
1,386
1,386
1,393
1,402
1,401
1,424
1,408
1,392
1,395
1,377
1,370
1,371
1,363
1,361
1,348
1,365
1,367
1,365
1,350
1,334
1,332
1,323
1,315
1,300
1,312
1,316
1,325
1,328
1,336
1,320
1,321
1,324
1,327
1,344
1,336
1,324
1,326
1,315
1,316
1,311
1,306
1,310
1,314
1,320
1,314
1,328
1,336

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160211&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160211&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160211&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'Gertrude Mary Cox' @ cox.wessa.net






Percentiles - Ungrouped Data
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.011.19891.198951.2011.2011.203281.2011.198051.201
0.021.207121.207261.2131.2131.213421.2061.211741.206
0.031.218961.219081.221.221.221421.221.216921.22
0.041.222961.223081.2251.2251.225281.2221.223921.222
0.051.2261.2261.2261.2261.2261.2261.2261.226
0.061.226481.226541.2271.2271.2271.2261.226461.227
0.071.2271.2271.2271.2271.2271.2271.2271.227
0.081.228641.228721.2291.2291.230121.2291.228281.229
0.091.231441.231621.2331.2331.2331.2311.232381.231
0.11.23381.23391.2341.2341.23471.2341.23311.234
0.111.2361.2361.2361.2361.236271.2361.2361.236
0.121.237961.238081.2381.2381.238841.2381.238921.238
0.131.246241.247021.2491.2491.249411.2491.244981.249
0.141.253241.253521.2551.2551.254961.2531.254481.253
0.151.2571.2571.2571.2571.2571.2571.2571.257
0.161.258281.258441.2591.2591.259241.2581.258561.258
0.171.2611.261091.2611.2611.263071.2611.263911.261
0.181.266441.266621.2671.2671.267261.2661.266381.267
0.191.269021.269211.271.271.269831.2691.269791.269
0.21.271.271.271.271.271.271.271.27
0.211.270181.270391.2711.2711.270971.271.270611.27
0.221.271761.271981.2721.2721.272541.2721.271021.272
0.231.273341.273571.2741.2741.274111.2731.273431.274
0.241.278681.279161.2791.2791.279681.2791.279841.279
0.251.281.281.281.281.28051.281.281.28
0.261.2821.2821.2821.2821.2821.2821.2821.282
0.271.2831.2831.2831.2831.283391.2831.2831.283
0.281.284241.284521.2851.2851.284961.2841.284481.285
0.291.285821.286111.2861.2861.286531.2861.286891.286
0.31.28881.28941.291.291.29021.2881.28861.29
0.311.292981.293871.2931.2931.295011.2931.295131.293
0.321.298121.298761.2991.2991.2991.2991.297241.299
0.331.31.31.31.31.31.31.31.3
0.341.302721.3031.3031.3031.3031.3031.3031.303
0.351.3061.3061.3061.3061.3061.3061.3061.306
0.361.3071.3071.3071.3071.3071.3071.3071.307
0.371.308461.308831.3091.3091.309091.3081.308171.309
0.381.311041.311421.3121.3121.311661.3111.311581.311
0.391.312621.313011.3131.3131.313231.3131.313991.313
0.41.31421.31461.3151.3151.31481.3141.31441.315
0.411.315781.3161.3161.3161.3161.3161.3161.316
0.421.3181.3181.3181.3181.3181.3181.3181.318
0.431.321.320371.321.321.320511.321.320631.32
0.441.321521.321961.3221.3221.322081.3221.321041.322
0.451.3241.3241.3241.3241.3241.3241.3241.324
0.461.324681.3251.3251.3251.3251.3251.3251.325
0.471.325261.325731.3261.3261.325791.3251.325271.326
0.481.326841.327321.3271.3271.327361.3271.327681.327
0.491.328421.328911.3291.3291.328931.3281.328091.329
0.51.3311.33151.3311.33151.33151.3311.33151.3315
0.511.3321.3321.3321.3321.3321.3321.3321.332
0.521.3341.3341.3341.3341.3341.3341.3341.334
0.531.3341.334271.3341.3341.334211.3341.334731.334
0.541.3361.3361.3361.3361.3361.3361.3361.336
0.551.3361.3361.3361.3361.3361.3361.3361.336
0.561.337481.338081.3381.3381.337921.3371.339921.338
0.571.341121.342261.3431.3431.341981.3411.341741.343
0.581.345281.346221.3461.3461.346061.3461.346781.346
0.591.3471.3471.3471.3471.3471.3471.3471.347
0.61.3481.3481.3481.3481.3481.3481.3481.348
0.611.348381.348991.3491.3491.348771.3481.348011.349
0.621.349961.351161.351.351.350681.351.350841.352
0.631.352541.353171.3531.3531.352911.3531.353831.353
0.641.354121.354761.3551.3551.354481.3541.354241.355
0.651.3551.355351.3551.3551.355051.3551.355651.355
0.661.3571.3571.3571.3571.3571.3571.3571.357
0.671.357861.3581.3581.3581.3581.3581.3581.358
0.681.358441.359241.3591.3591.358761.3581.360761.359
0.691.3611.3611.3611.3611.3611.3611.3611.361
0.71.36161.36231.3621.3621.36191.3621.36271.362
0.711.363181.363891.3641.3641.363471.3631.363111.364
0.721.3651.3651.3651.3651.3651.3651.3651.365
0.731.365341.3661.3661.3661.365611.3651.3661.366
0.741.3661.366661.3661.3661.366181.3661.366341.367
0.751.36751.368251.3681.3681.367751.3681.368751.368
0.761.370081.370841.3711.3711.370321.371.370161.371
0.771.3711.371431.3711.3711.3711.3711.371571.371
0.781.372241.3731.3731.3731.372461.3721.3731.373
0.791.373821.375221.3741.3741.374061.3741.374781.376
0.81.37641.3771.3771.3771.37661.3761.3771.377
0.811.377981.379581.3781.3781.378341.3781.378421.38
0.821.384121.385381.3851.3851.384481.3851.385621.385
0.831.3861.3861.3861.3861.3861.3861.3861.386
0.841.3861.386561.3861.3861.3861.3861.386441.387
0.851.39031.3911.3911.3911.390451.391.3911.391
0.861.391881.392741.3921.3921.392021.3921.392261.393
0.871.393461.3941.3941.3941.393591.3931.3941.394
0.881.395041.395921.3961.3961.395161.3951.395081.396
0.891.3971.397511.3971.3971.3971.3971.397491.398
0.91.40021.40111.4011.4011.40031.41.40191.401
0.911.4021.402691.4021.4021.4021.4021.402311.403
0.921.406361.407281.4071.4071.406441.4061.407721.407
0.931.408941.4091.4091.4091.4091.4091.4091.409
0.941.411561.413461.4131.4131.411741.4131.413541.413
0.951.41591.424151.4241.4241.416351.4151.426851.424
0.961.427681.429281.4281.4281.427721.4281.428721.43
0.971.435521.4371.4371.4371.435581.4351.4371.437
0.981.438681.44311.4391.4391.438721.4391.43991.444
0.991.448421.450641.4491.4491.448431.4481.451361.449

\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 & 1.1989 & 1.19895 & 1.201 & 1.201 & 1.20328 & 1.201 & 1.19805 & 1.201 \tabularnewline
0.02 & 1.20712 & 1.20726 & 1.213 & 1.213 & 1.21342 & 1.206 & 1.21174 & 1.206 \tabularnewline
0.03 & 1.21896 & 1.21908 & 1.22 & 1.22 & 1.22142 & 1.22 & 1.21692 & 1.22 \tabularnewline
0.04 & 1.22296 & 1.22308 & 1.225 & 1.225 & 1.22528 & 1.222 & 1.22392 & 1.222 \tabularnewline
0.05 & 1.226 & 1.226 & 1.226 & 1.226 & 1.226 & 1.226 & 1.226 & 1.226 \tabularnewline
0.06 & 1.22648 & 1.22654 & 1.227 & 1.227 & 1.227 & 1.226 & 1.22646 & 1.227 \tabularnewline
0.07 & 1.227 & 1.227 & 1.227 & 1.227 & 1.227 & 1.227 & 1.227 & 1.227 \tabularnewline
0.08 & 1.22864 & 1.22872 & 1.229 & 1.229 & 1.23012 & 1.229 & 1.22828 & 1.229 \tabularnewline
0.09 & 1.23144 & 1.23162 & 1.233 & 1.233 & 1.233 & 1.231 & 1.23238 & 1.231 \tabularnewline
0.1 & 1.2338 & 1.2339 & 1.234 & 1.234 & 1.2347 & 1.234 & 1.2331 & 1.234 \tabularnewline
0.11 & 1.236 & 1.236 & 1.236 & 1.236 & 1.23627 & 1.236 & 1.236 & 1.236 \tabularnewline
0.12 & 1.23796 & 1.23808 & 1.238 & 1.238 & 1.23884 & 1.238 & 1.23892 & 1.238 \tabularnewline
0.13 & 1.24624 & 1.24702 & 1.249 & 1.249 & 1.24941 & 1.249 & 1.24498 & 1.249 \tabularnewline
0.14 & 1.25324 & 1.25352 & 1.255 & 1.255 & 1.25496 & 1.253 & 1.25448 & 1.253 \tabularnewline
0.15 & 1.257 & 1.257 & 1.257 & 1.257 & 1.257 & 1.257 & 1.257 & 1.257 \tabularnewline
0.16 & 1.25828 & 1.25844 & 1.259 & 1.259 & 1.25924 & 1.258 & 1.25856 & 1.258 \tabularnewline
0.17 & 1.261 & 1.26109 & 1.261 & 1.261 & 1.26307 & 1.261 & 1.26391 & 1.261 \tabularnewline
0.18 & 1.26644 & 1.26662 & 1.267 & 1.267 & 1.26726 & 1.266 & 1.26638 & 1.267 \tabularnewline
0.19 & 1.26902 & 1.26921 & 1.27 & 1.27 & 1.26983 & 1.269 & 1.26979 & 1.269 \tabularnewline
0.2 & 1.27 & 1.27 & 1.27 & 1.27 & 1.27 & 1.27 & 1.27 & 1.27 \tabularnewline
0.21 & 1.27018 & 1.27039 & 1.271 & 1.271 & 1.27097 & 1.27 & 1.27061 & 1.27 \tabularnewline
0.22 & 1.27176 & 1.27198 & 1.272 & 1.272 & 1.27254 & 1.272 & 1.27102 & 1.272 \tabularnewline
0.23 & 1.27334 & 1.27357 & 1.274 & 1.274 & 1.27411 & 1.273 & 1.27343 & 1.274 \tabularnewline
0.24 & 1.27868 & 1.27916 & 1.279 & 1.279 & 1.27968 & 1.279 & 1.27984 & 1.279 \tabularnewline
0.25 & 1.28 & 1.28 & 1.28 & 1.28 & 1.2805 & 1.28 & 1.28 & 1.28 \tabularnewline
0.26 & 1.282 & 1.282 & 1.282 & 1.282 & 1.282 & 1.282 & 1.282 & 1.282 \tabularnewline
0.27 & 1.283 & 1.283 & 1.283 & 1.283 & 1.28339 & 1.283 & 1.283 & 1.283 \tabularnewline
0.28 & 1.28424 & 1.28452 & 1.285 & 1.285 & 1.28496 & 1.284 & 1.28448 & 1.285 \tabularnewline
0.29 & 1.28582 & 1.28611 & 1.286 & 1.286 & 1.28653 & 1.286 & 1.28689 & 1.286 \tabularnewline
0.3 & 1.2888 & 1.2894 & 1.29 & 1.29 & 1.2902 & 1.288 & 1.2886 & 1.29 \tabularnewline
0.31 & 1.29298 & 1.29387 & 1.293 & 1.293 & 1.29501 & 1.293 & 1.29513 & 1.293 \tabularnewline
0.32 & 1.29812 & 1.29876 & 1.299 & 1.299 & 1.299 & 1.299 & 1.29724 & 1.299 \tabularnewline
0.33 & 1.3 & 1.3 & 1.3 & 1.3 & 1.3 & 1.3 & 1.3 & 1.3 \tabularnewline
0.34 & 1.30272 & 1.303 & 1.303 & 1.303 & 1.303 & 1.303 & 1.303 & 1.303 \tabularnewline
0.35 & 1.306 & 1.306 & 1.306 & 1.306 & 1.306 & 1.306 & 1.306 & 1.306 \tabularnewline
0.36 & 1.307 & 1.307 & 1.307 & 1.307 & 1.307 & 1.307 & 1.307 & 1.307 \tabularnewline
0.37 & 1.30846 & 1.30883 & 1.309 & 1.309 & 1.30909 & 1.308 & 1.30817 & 1.309 \tabularnewline
0.38 & 1.31104 & 1.31142 & 1.312 & 1.312 & 1.31166 & 1.311 & 1.31158 & 1.311 \tabularnewline
0.39 & 1.31262 & 1.31301 & 1.313 & 1.313 & 1.31323 & 1.313 & 1.31399 & 1.313 \tabularnewline
0.4 & 1.3142 & 1.3146 & 1.315 & 1.315 & 1.3148 & 1.314 & 1.3144 & 1.315 \tabularnewline
0.41 & 1.31578 & 1.316 & 1.316 & 1.316 & 1.316 & 1.316 & 1.316 & 1.316 \tabularnewline
0.42 & 1.318 & 1.318 & 1.318 & 1.318 & 1.318 & 1.318 & 1.318 & 1.318 \tabularnewline
0.43 & 1.32 & 1.32037 & 1.32 & 1.32 & 1.32051 & 1.32 & 1.32063 & 1.32 \tabularnewline
0.44 & 1.32152 & 1.32196 & 1.322 & 1.322 & 1.32208 & 1.322 & 1.32104 & 1.322 \tabularnewline
0.45 & 1.324 & 1.324 & 1.324 & 1.324 & 1.324 & 1.324 & 1.324 & 1.324 \tabularnewline
0.46 & 1.32468 & 1.325 & 1.325 & 1.325 & 1.325 & 1.325 & 1.325 & 1.325 \tabularnewline
0.47 & 1.32526 & 1.32573 & 1.326 & 1.326 & 1.32579 & 1.325 & 1.32527 & 1.326 \tabularnewline
0.48 & 1.32684 & 1.32732 & 1.327 & 1.327 & 1.32736 & 1.327 & 1.32768 & 1.327 \tabularnewline
0.49 & 1.32842 & 1.32891 & 1.329 & 1.329 & 1.32893 & 1.328 & 1.32809 & 1.329 \tabularnewline
0.5 & 1.331 & 1.3315 & 1.331 & 1.3315 & 1.3315 & 1.331 & 1.3315 & 1.3315 \tabularnewline
0.51 & 1.332 & 1.332 & 1.332 & 1.332 & 1.332 & 1.332 & 1.332 & 1.332 \tabularnewline
0.52 & 1.334 & 1.334 & 1.334 & 1.334 & 1.334 & 1.334 & 1.334 & 1.334 \tabularnewline
0.53 & 1.334 & 1.33427 & 1.334 & 1.334 & 1.33421 & 1.334 & 1.33473 & 1.334 \tabularnewline
0.54 & 1.336 & 1.336 & 1.336 & 1.336 & 1.336 & 1.336 & 1.336 & 1.336 \tabularnewline
0.55 & 1.336 & 1.336 & 1.336 & 1.336 & 1.336 & 1.336 & 1.336 & 1.336 \tabularnewline
0.56 & 1.33748 & 1.33808 & 1.338 & 1.338 & 1.33792 & 1.337 & 1.33992 & 1.338 \tabularnewline
0.57 & 1.34112 & 1.34226 & 1.343 & 1.343 & 1.34198 & 1.341 & 1.34174 & 1.343 \tabularnewline
0.58 & 1.34528 & 1.34622 & 1.346 & 1.346 & 1.34606 & 1.346 & 1.34678 & 1.346 \tabularnewline
0.59 & 1.347 & 1.347 & 1.347 & 1.347 & 1.347 & 1.347 & 1.347 & 1.347 \tabularnewline
0.6 & 1.348 & 1.348 & 1.348 & 1.348 & 1.348 & 1.348 & 1.348 & 1.348 \tabularnewline
0.61 & 1.34838 & 1.34899 & 1.349 & 1.349 & 1.34877 & 1.348 & 1.34801 & 1.349 \tabularnewline
0.62 & 1.34996 & 1.35116 & 1.35 & 1.35 & 1.35068 & 1.35 & 1.35084 & 1.352 \tabularnewline
0.63 & 1.35254 & 1.35317 & 1.353 & 1.353 & 1.35291 & 1.353 & 1.35383 & 1.353 \tabularnewline
0.64 & 1.35412 & 1.35476 & 1.355 & 1.355 & 1.35448 & 1.354 & 1.35424 & 1.355 \tabularnewline
0.65 & 1.355 & 1.35535 & 1.355 & 1.355 & 1.35505 & 1.355 & 1.35565 & 1.355 \tabularnewline
0.66 & 1.357 & 1.357 & 1.357 & 1.357 & 1.357 & 1.357 & 1.357 & 1.357 \tabularnewline
0.67 & 1.35786 & 1.358 & 1.358 & 1.358 & 1.358 & 1.358 & 1.358 & 1.358 \tabularnewline
0.68 & 1.35844 & 1.35924 & 1.359 & 1.359 & 1.35876 & 1.358 & 1.36076 & 1.359 \tabularnewline
0.69 & 1.361 & 1.361 & 1.361 & 1.361 & 1.361 & 1.361 & 1.361 & 1.361 \tabularnewline
0.7 & 1.3616 & 1.3623 & 1.362 & 1.362 & 1.3619 & 1.362 & 1.3627 & 1.362 \tabularnewline
0.71 & 1.36318 & 1.36389 & 1.364 & 1.364 & 1.36347 & 1.363 & 1.36311 & 1.364 \tabularnewline
0.72 & 1.365 & 1.365 & 1.365 & 1.365 & 1.365 & 1.365 & 1.365 & 1.365 \tabularnewline
0.73 & 1.36534 & 1.366 & 1.366 & 1.366 & 1.36561 & 1.365 & 1.366 & 1.366 \tabularnewline
0.74 & 1.366 & 1.36666 & 1.366 & 1.366 & 1.36618 & 1.366 & 1.36634 & 1.367 \tabularnewline
0.75 & 1.3675 & 1.36825 & 1.368 & 1.368 & 1.36775 & 1.368 & 1.36875 & 1.368 \tabularnewline
0.76 & 1.37008 & 1.37084 & 1.371 & 1.371 & 1.37032 & 1.37 & 1.37016 & 1.371 \tabularnewline
0.77 & 1.371 & 1.37143 & 1.371 & 1.371 & 1.371 & 1.371 & 1.37157 & 1.371 \tabularnewline
0.78 & 1.37224 & 1.373 & 1.373 & 1.373 & 1.37246 & 1.372 & 1.373 & 1.373 \tabularnewline
0.79 & 1.37382 & 1.37522 & 1.374 & 1.374 & 1.37406 & 1.374 & 1.37478 & 1.376 \tabularnewline
0.8 & 1.3764 & 1.377 & 1.377 & 1.377 & 1.3766 & 1.376 & 1.377 & 1.377 \tabularnewline
0.81 & 1.37798 & 1.37958 & 1.378 & 1.378 & 1.37834 & 1.378 & 1.37842 & 1.38 \tabularnewline
0.82 & 1.38412 & 1.38538 & 1.385 & 1.385 & 1.38448 & 1.385 & 1.38562 & 1.385 \tabularnewline
0.83 & 1.386 & 1.386 & 1.386 & 1.386 & 1.386 & 1.386 & 1.386 & 1.386 \tabularnewline
0.84 & 1.386 & 1.38656 & 1.386 & 1.386 & 1.386 & 1.386 & 1.38644 & 1.387 \tabularnewline
0.85 & 1.3903 & 1.391 & 1.391 & 1.391 & 1.39045 & 1.39 & 1.391 & 1.391 \tabularnewline
0.86 & 1.39188 & 1.39274 & 1.392 & 1.392 & 1.39202 & 1.392 & 1.39226 & 1.393 \tabularnewline
0.87 & 1.39346 & 1.394 & 1.394 & 1.394 & 1.39359 & 1.393 & 1.394 & 1.394 \tabularnewline
0.88 & 1.39504 & 1.39592 & 1.396 & 1.396 & 1.39516 & 1.395 & 1.39508 & 1.396 \tabularnewline
0.89 & 1.397 & 1.39751 & 1.397 & 1.397 & 1.397 & 1.397 & 1.39749 & 1.398 \tabularnewline
0.9 & 1.4002 & 1.4011 & 1.401 & 1.401 & 1.4003 & 1.4 & 1.4019 & 1.401 \tabularnewline
0.91 & 1.402 & 1.40269 & 1.402 & 1.402 & 1.402 & 1.402 & 1.40231 & 1.403 \tabularnewline
0.92 & 1.40636 & 1.40728 & 1.407 & 1.407 & 1.40644 & 1.406 & 1.40772 & 1.407 \tabularnewline
0.93 & 1.40894 & 1.409 & 1.409 & 1.409 & 1.409 & 1.409 & 1.409 & 1.409 \tabularnewline
0.94 & 1.41156 & 1.41346 & 1.413 & 1.413 & 1.41174 & 1.413 & 1.41354 & 1.413 \tabularnewline
0.95 & 1.4159 & 1.42415 & 1.424 & 1.424 & 1.41635 & 1.415 & 1.42685 & 1.424 \tabularnewline
0.96 & 1.42768 & 1.42928 & 1.428 & 1.428 & 1.42772 & 1.428 & 1.42872 & 1.43 \tabularnewline
0.97 & 1.43552 & 1.437 & 1.437 & 1.437 & 1.43558 & 1.435 & 1.437 & 1.437 \tabularnewline
0.98 & 1.43868 & 1.4431 & 1.439 & 1.439 & 1.43872 & 1.439 & 1.4399 & 1.444 \tabularnewline
0.99 & 1.44842 & 1.45064 & 1.449 & 1.449 & 1.44843 & 1.448 & 1.45136 & 1.449 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160211&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]1.1989[/C][C]1.19895[/C][C]1.201[/C][C]1.201[/C][C]1.20328[/C][C]1.201[/C][C]1.19805[/C][C]1.201[/C][/ROW]
[ROW][C]0.02[/C][C]1.20712[/C][C]1.20726[/C][C]1.213[/C][C]1.213[/C][C]1.21342[/C][C]1.206[/C][C]1.21174[/C][C]1.206[/C][/ROW]
[ROW][C]0.03[/C][C]1.21896[/C][C]1.21908[/C][C]1.22[/C][C]1.22[/C][C]1.22142[/C][C]1.22[/C][C]1.21692[/C][C]1.22[/C][/ROW]
[ROW][C]0.04[/C][C]1.22296[/C][C]1.22308[/C][C]1.225[/C][C]1.225[/C][C]1.22528[/C][C]1.222[/C][C]1.22392[/C][C]1.222[/C][/ROW]
[ROW][C]0.05[/C][C]1.226[/C][C]1.226[/C][C]1.226[/C][C]1.226[/C][C]1.226[/C][C]1.226[/C][C]1.226[/C][C]1.226[/C][/ROW]
[ROW][C]0.06[/C][C]1.22648[/C][C]1.22654[/C][C]1.227[/C][C]1.227[/C][C]1.227[/C][C]1.226[/C][C]1.22646[/C][C]1.227[/C][/ROW]
[ROW][C]0.07[/C][C]1.227[/C][C]1.227[/C][C]1.227[/C][C]1.227[/C][C]1.227[/C][C]1.227[/C][C]1.227[/C][C]1.227[/C][/ROW]
[ROW][C]0.08[/C][C]1.22864[/C][C]1.22872[/C][C]1.229[/C][C]1.229[/C][C]1.23012[/C][C]1.229[/C][C]1.22828[/C][C]1.229[/C][/ROW]
[ROW][C]0.09[/C][C]1.23144[/C][C]1.23162[/C][C]1.233[/C][C]1.233[/C][C]1.233[/C][C]1.231[/C][C]1.23238[/C][C]1.231[/C][/ROW]
[ROW][C]0.1[/C][C]1.2338[/C][C]1.2339[/C][C]1.234[/C][C]1.234[/C][C]1.2347[/C][C]1.234[/C][C]1.2331[/C][C]1.234[/C][/ROW]
[ROW][C]0.11[/C][C]1.236[/C][C]1.236[/C][C]1.236[/C][C]1.236[/C][C]1.23627[/C][C]1.236[/C][C]1.236[/C][C]1.236[/C][/ROW]
[ROW][C]0.12[/C][C]1.23796[/C][C]1.23808[/C][C]1.238[/C][C]1.238[/C][C]1.23884[/C][C]1.238[/C][C]1.23892[/C][C]1.238[/C][/ROW]
[ROW][C]0.13[/C][C]1.24624[/C][C]1.24702[/C][C]1.249[/C][C]1.249[/C][C]1.24941[/C][C]1.249[/C][C]1.24498[/C][C]1.249[/C][/ROW]
[ROW][C]0.14[/C][C]1.25324[/C][C]1.25352[/C][C]1.255[/C][C]1.255[/C][C]1.25496[/C][C]1.253[/C][C]1.25448[/C][C]1.253[/C][/ROW]
[ROW][C]0.15[/C][C]1.257[/C][C]1.257[/C][C]1.257[/C][C]1.257[/C][C]1.257[/C][C]1.257[/C][C]1.257[/C][C]1.257[/C][/ROW]
[ROW][C]0.16[/C][C]1.25828[/C][C]1.25844[/C][C]1.259[/C][C]1.259[/C][C]1.25924[/C][C]1.258[/C][C]1.25856[/C][C]1.258[/C][/ROW]
[ROW][C]0.17[/C][C]1.261[/C][C]1.26109[/C][C]1.261[/C][C]1.261[/C][C]1.26307[/C][C]1.261[/C][C]1.26391[/C][C]1.261[/C][/ROW]
[ROW][C]0.18[/C][C]1.26644[/C][C]1.26662[/C][C]1.267[/C][C]1.267[/C][C]1.26726[/C][C]1.266[/C][C]1.26638[/C][C]1.267[/C][/ROW]
[ROW][C]0.19[/C][C]1.26902[/C][C]1.26921[/C][C]1.27[/C][C]1.27[/C][C]1.26983[/C][C]1.269[/C][C]1.26979[/C][C]1.269[/C][/ROW]
[ROW][C]0.2[/C][C]1.27[/C][C]1.27[/C][C]1.27[/C][C]1.27[/C][C]1.27[/C][C]1.27[/C][C]1.27[/C][C]1.27[/C][/ROW]
[ROW][C]0.21[/C][C]1.27018[/C][C]1.27039[/C][C]1.271[/C][C]1.271[/C][C]1.27097[/C][C]1.27[/C][C]1.27061[/C][C]1.27[/C][/ROW]
[ROW][C]0.22[/C][C]1.27176[/C][C]1.27198[/C][C]1.272[/C][C]1.272[/C][C]1.27254[/C][C]1.272[/C][C]1.27102[/C][C]1.272[/C][/ROW]
[ROW][C]0.23[/C][C]1.27334[/C][C]1.27357[/C][C]1.274[/C][C]1.274[/C][C]1.27411[/C][C]1.273[/C][C]1.27343[/C][C]1.274[/C][/ROW]
[ROW][C]0.24[/C][C]1.27868[/C][C]1.27916[/C][C]1.279[/C][C]1.279[/C][C]1.27968[/C][C]1.279[/C][C]1.27984[/C][C]1.279[/C][/ROW]
[ROW][C]0.25[/C][C]1.28[/C][C]1.28[/C][C]1.28[/C][C]1.28[/C][C]1.2805[/C][C]1.28[/C][C]1.28[/C][C]1.28[/C][/ROW]
[ROW][C]0.26[/C][C]1.282[/C][C]1.282[/C][C]1.282[/C][C]1.282[/C][C]1.282[/C][C]1.282[/C][C]1.282[/C][C]1.282[/C][/ROW]
[ROW][C]0.27[/C][C]1.283[/C][C]1.283[/C][C]1.283[/C][C]1.283[/C][C]1.28339[/C][C]1.283[/C][C]1.283[/C][C]1.283[/C][/ROW]
[ROW][C]0.28[/C][C]1.28424[/C][C]1.28452[/C][C]1.285[/C][C]1.285[/C][C]1.28496[/C][C]1.284[/C][C]1.28448[/C][C]1.285[/C][/ROW]
[ROW][C]0.29[/C][C]1.28582[/C][C]1.28611[/C][C]1.286[/C][C]1.286[/C][C]1.28653[/C][C]1.286[/C][C]1.28689[/C][C]1.286[/C][/ROW]
[ROW][C]0.3[/C][C]1.2888[/C][C]1.2894[/C][C]1.29[/C][C]1.29[/C][C]1.2902[/C][C]1.288[/C][C]1.2886[/C][C]1.29[/C][/ROW]
[ROW][C]0.31[/C][C]1.29298[/C][C]1.29387[/C][C]1.293[/C][C]1.293[/C][C]1.29501[/C][C]1.293[/C][C]1.29513[/C][C]1.293[/C][/ROW]
[ROW][C]0.32[/C][C]1.29812[/C][C]1.29876[/C][C]1.299[/C][C]1.299[/C][C]1.299[/C][C]1.299[/C][C]1.29724[/C][C]1.299[/C][/ROW]
[ROW][C]0.33[/C][C]1.3[/C][C]1.3[/C][C]1.3[/C][C]1.3[/C][C]1.3[/C][C]1.3[/C][C]1.3[/C][C]1.3[/C][/ROW]
[ROW][C]0.34[/C][C]1.30272[/C][C]1.303[/C][C]1.303[/C][C]1.303[/C][C]1.303[/C][C]1.303[/C][C]1.303[/C][C]1.303[/C][/ROW]
[ROW][C]0.35[/C][C]1.306[/C][C]1.306[/C][C]1.306[/C][C]1.306[/C][C]1.306[/C][C]1.306[/C][C]1.306[/C][C]1.306[/C][/ROW]
[ROW][C]0.36[/C][C]1.307[/C][C]1.307[/C][C]1.307[/C][C]1.307[/C][C]1.307[/C][C]1.307[/C][C]1.307[/C][C]1.307[/C][/ROW]
[ROW][C]0.37[/C][C]1.30846[/C][C]1.30883[/C][C]1.309[/C][C]1.309[/C][C]1.30909[/C][C]1.308[/C][C]1.30817[/C][C]1.309[/C][/ROW]
[ROW][C]0.38[/C][C]1.31104[/C][C]1.31142[/C][C]1.312[/C][C]1.312[/C][C]1.31166[/C][C]1.311[/C][C]1.31158[/C][C]1.311[/C][/ROW]
[ROW][C]0.39[/C][C]1.31262[/C][C]1.31301[/C][C]1.313[/C][C]1.313[/C][C]1.31323[/C][C]1.313[/C][C]1.31399[/C][C]1.313[/C][/ROW]
[ROW][C]0.4[/C][C]1.3142[/C][C]1.3146[/C][C]1.315[/C][C]1.315[/C][C]1.3148[/C][C]1.314[/C][C]1.3144[/C][C]1.315[/C][/ROW]
[ROW][C]0.41[/C][C]1.31578[/C][C]1.316[/C][C]1.316[/C][C]1.316[/C][C]1.316[/C][C]1.316[/C][C]1.316[/C][C]1.316[/C][/ROW]
[ROW][C]0.42[/C][C]1.318[/C][C]1.318[/C][C]1.318[/C][C]1.318[/C][C]1.318[/C][C]1.318[/C][C]1.318[/C][C]1.318[/C][/ROW]
[ROW][C]0.43[/C][C]1.32[/C][C]1.32037[/C][C]1.32[/C][C]1.32[/C][C]1.32051[/C][C]1.32[/C][C]1.32063[/C][C]1.32[/C][/ROW]
[ROW][C]0.44[/C][C]1.32152[/C][C]1.32196[/C][C]1.322[/C][C]1.322[/C][C]1.32208[/C][C]1.322[/C][C]1.32104[/C][C]1.322[/C][/ROW]
[ROW][C]0.45[/C][C]1.324[/C][C]1.324[/C][C]1.324[/C][C]1.324[/C][C]1.324[/C][C]1.324[/C][C]1.324[/C][C]1.324[/C][/ROW]
[ROW][C]0.46[/C][C]1.32468[/C][C]1.325[/C][C]1.325[/C][C]1.325[/C][C]1.325[/C][C]1.325[/C][C]1.325[/C][C]1.325[/C][/ROW]
[ROW][C]0.47[/C][C]1.32526[/C][C]1.32573[/C][C]1.326[/C][C]1.326[/C][C]1.32579[/C][C]1.325[/C][C]1.32527[/C][C]1.326[/C][/ROW]
[ROW][C]0.48[/C][C]1.32684[/C][C]1.32732[/C][C]1.327[/C][C]1.327[/C][C]1.32736[/C][C]1.327[/C][C]1.32768[/C][C]1.327[/C][/ROW]
[ROW][C]0.49[/C][C]1.32842[/C][C]1.32891[/C][C]1.329[/C][C]1.329[/C][C]1.32893[/C][C]1.328[/C][C]1.32809[/C][C]1.329[/C][/ROW]
[ROW][C]0.5[/C][C]1.331[/C][C]1.3315[/C][C]1.331[/C][C]1.3315[/C][C]1.3315[/C][C]1.331[/C][C]1.3315[/C][C]1.3315[/C][/ROW]
[ROW][C]0.51[/C][C]1.332[/C][C]1.332[/C][C]1.332[/C][C]1.332[/C][C]1.332[/C][C]1.332[/C][C]1.332[/C][C]1.332[/C][/ROW]
[ROW][C]0.52[/C][C]1.334[/C][C]1.334[/C][C]1.334[/C][C]1.334[/C][C]1.334[/C][C]1.334[/C][C]1.334[/C][C]1.334[/C][/ROW]
[ROW][C]0.53[/C][C]1.334[/C][C]1.33427[/C][C]1.334[/C][C]1.334[/C][C]1.33421[/C][C]1.334[/C][C]1.33473[/C][C]1.334[/C][/ROW]
[ROW][C]0.54[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][/ROW]
[ROW][C]0.55[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][C]1.336[/C][/ROW]
[ROW][C]0.56[/C][C]1.33748[/C][C]1.33808[/C][C]1.338[/C][C]1.338[/C][C]1.33792[/C][C]1.337[/C][C]1.33992[/C][C]1.338[/C][/ROW]
[ROW][C]0.57[/C][C]1.34112[/C][C]1.34226[/C][C]1.343[/C][C]1.343[/C][C]1.34198[/C][C]1.341[/C][C]1.34174[/C][C]1.343[/C][/ROW]
[ROW][C]0.58[/C][C]1.34528[/C][C]1.34622[/C][C]1.346[/C][C]1.346[/C][C]1.34606[/C][C]1.346[/C][C]1.34678[/C][C]1.346[/C][/ROW]
[ROW][C]0.59[/C][C]1.347[/C][C]1.347[/C][C]1.347[/C][C]1.347[/C][C]1.347[/C][C]1.347[/C][C]1.347[/C][C]1.347[/C][/ROW]
[ROW][C]0.6[/C][C]1.348[/C][C]1.348[/C][C]1.348[/C][C]1.348[/C][C]1.348[/C][C]1.348[/C][C]1.348[/C][C]1.348[/C][/ROW]
[ROW][C]0.61[/C][C]1.34838[/C][C]1.34899[/C][C]1.349[/C][C]1.349[/C][C]1.34877[/C][C]1.348[/C][C]1.34801[/C][C]1.349[/C][/ROW]
[ROW][C]0.62[/C][C]1.34996[/C][C]1.35116[/C][C]1.35[/C][C]1.35[/C][C]1.35068[/C][C]1.35[/C][C]1.35084[/C][C]1.352[/C][/ROW]
[ROW][C]0.63[/C][C]1.35254[/C][C]1.35317[/C][C]1.353[/C][C]1.353[/C][C]1.35291[/C][C]1.353[/C][C]1.35383[/C][C]1.353[/C][/ROW]
[ROW][C]0.64[/C][C]1.35412[/C][C]1.35476[/C][C]1.355[/C][C]1.355[/C][C]1.35448[/C][C]1.354[/C][C]1.35424[/C][C]1.355[/C][/ROW]
[ROW][C]0.65[/C][C]1.355[/C][C]1.35535[/C][C]1.355[/C][C]1.355[/C][C]1.35505[/C][C]1.355[/C][C]1.35565[/C][C]1.355[/C][/ROW]
[ROW][C]0.66[/C][C]1.357[/C][C]1.357[/C][C]1.357[/C][C]1.357[/C][C]1.357[/C][C]1.357[/C][C]1.357[/C][C]1.357[/C][/ROW]
[ROW][C]0.67[/C][C]1.35786[/C][C]1.358[/C][C]1.358[/C][C]1.358[/C][C]1.358[/C][C]1.358[/C][C]1.358[/C][C]1.358[/C][/ROW]
[ROW][C]0.68[/C][C]1.35844[/C][C]1.35924[/C][C]1.359[/C][C]1.359[/C][C]1.35876[/C][C]1.358[/C][C]1.36076[/C][C]1.359[/C][/ROW]
[ROW][C]0.69[/C][C]1.361[/C][C]1.361[/C][C]1.361[/C][C]1.361[/C][C]1.361[/C][C]1.361[/C][C]1.361[/C][C]1.361[/C][/ROW]
[ROW][C]0.7[/C][C]1.3616[/C][C]1.3623[/C][C]1.362[/C][C]1.362[/C][C]1.3619[/C][C]1.362[/C][C]1.3627[/C][C]1.362[/C][/ROW]
[ROW][C]0.71[/C][C]1.36318[/C][C]1.36389[/C][C]1.364[/C][C]1.364[/C][C]1.36347[/C][C]1.363[/C][C]1.36311[/C][C]1.364[/C][/ROW]
[ROW][C]0.72[/C][C]1.365[/C][C]1.365[/C][C]1.365[/C][C]1.365[/C][C]1.365[/C][C]1.365[/C][C]1.365[/C][C]1.365[/C][/ROW]
[ROW][C]0.73[/C][C]1.36534[/C][C]1.366[/C][C]1.366[/C][C]1.366[/C][C]1.36561[/C][C]1.365[/C][C]1.366[/C][C]1.366[/C][/ROW]
[ROW][C]0.74[/C][C]1.366[/C][C]1.36666[/C][C]1.366[/C][C]1.366[/C][C]1.36618[/C][C]1.366[/C][C]1.36634[/C][C]1.367[/C][/ROW]
[ROW][C]0.75[/C][C]1.3675[/C][C]1.36825[/C][C]1.368[/C][C]1.368[/C][C]1.36775[/C][C]1.368[/C][C]1.36875[/C][C]1.368[/C][/ROW]
[ROW][C]0.76[/C][C]1.37008[/C][C]1.37084[/C][C]1.371[/C][C]1.371[/C][C]1.37032[/C][C]1.37[/C][C]1.37016[/C][C]1.371[/C][/ROW]
[ROW][C]0.77[/C][C]1.371[/C][C]1.37143[/C][C]1.371[/C][C]1.371[/C][C]1.371[/C][C]1.371[/C][C]1.37157[/C][C]1.371[/C][/ROW]
[ROW][C]0.78[/C][C]1.37224[/C][C]1.373[/C][C]1.373[/C][C]1.373[/C][C]1.37246[/C][C]1.372[/C][C]1.373[/C][C]1.373[/C][/ROW]
[ROW][C]0.79[/C][C]1.37382[/C][C]1.37522[/C][C]1.374[/C][C]1.374[/C][C]1.37406[/C][C]1.374[/C][C]1.37478[/C][C]1.376[/C][/ROW]
[ROW][C]0.8[/C][C]1.3764[/C][C]1.377[/C][C]1.377[/C][C]1.377[/C][C]1.3766[/C][C]1.376[/C][C]1.377[/C][C]1.377[/C][/ROW]
[ROW][C]0.81[/C][C]1.37798[/C][C]1.37958[/C][C]1.378[/C][C]1.378[/C][C]1.37834[/C][C]1.378[/C][C]1.37842[/C][C]1.38[/C][/ROW]
[ROW][C]0.82[/C][C]1.38412[/C][C]1.38538[/C][C]1.385[/C][C]1.385[/C][C]1.38448[/C][C]1.385[/C][C]1.38562[/C][C]1.385[/C][/ROW]
[ROW][C]0.83[/C][C]1.386[/C][C]1.386[/C][C]1.386[/C][C]1.386[/C][C]1.386[/C][C]1.386[/C][C]1.386[/C][C]1.386[/C][/ROW]
[ROW][C]0.84[/C][C]1.386[/C][C]1.38656[/C][C]1.386[/C][C]1.386[/C][C]1.386[/C][C]1.386[/C][C]1.38644[/C][C]1.387[/C][/ROW]
[ROW][C]0.85[/C][C]1.3903[/C][C]1.391[/C][C]1.391[/C][C]1.391[/C][C]1.39045[/C][C]1.39[/C][C]1.391[/C][C]1.391[/C][/ROW]
[ROW][C]0.86[/C][C]1.39188[/C][C]1.39274[/C][C]1.392[/C][C]1.392[/C][C]1.39202[/C][C]1.392[/C][C]1.39226[/C][C]1.393[/C][/ROW]
[ROW][C]0.87[/C][C]1.39346[/C][C]1.394[/C][C]1.394[/C][C]1.394[/C][C]1.39359[/C][C]1.393[/C][C]1.394[/C][C]1.394[/C][/ROW]
[ROW][C]0.88[/C][C]1.39504[/C][C]1.39592[/C][C]1.396[/C][C]1.396[/C][C]1.39516[/C][C]1.395[/C][C]1.39508[/C][C]1.396[/C][/ROW]
[ROW][C]0.89[/C][C]1.397[/C][C]1.39751[/C][C]1.397[/C][C]1.397[/C][C]1.397[/C][C]1.397[/C][C]1.39749[/C][C]1.398[/C][/ROW]
[ROW][C]0.9[/C][C]1.4002[/C][C]1.4011[/C][C]1.401[/C][C]1.401[/C][C]1.4003[/C][C]1.4[/C][C]1.4019[/C][C]1.401[/C][/ROW]
[ROW][C]0.91[/C][C]1.402[/C][C]1.40269[/C][C]1.402[/C][C]1.402[/C][C]1.402[/C][C]1.402[/C][C]1.40231[/C][C]1.403[/C][/ROW]
[ROW][C]0.92[/C][C]1.40636[/C][C]1.40728[/C][C]1.407[/C][C]1.407[/C][C]1.40644[/C][C]1.406[/C][C]1.40772[/C][C]1.407[/C][/ROW]
[ROW][C]0.93[/C][C]1.40894[/C][C]1.409[/C][C]1.409[/C][C]1.409[/C][C]1.409[/C][C]1.409[/C][C]1.409[/C][C]1.409[/C][/ROW]
[ROW][C]0.94[/C][C]1.41156[/C][C]1.41346[/C][C]1.413[/C][C]1.413[/C][C]1.41174[/C][C]1.413[/C][C]1.41354[/C][C]1.413[/C][/ROW]
[ROW][C]0.95[/C][C]1.4159[/C][C]1.42415[/C][C]1.424[/C][C]1.424[/C][C]1.41635[/C][C]1.415[/C][C]1.42685[/C][C]1.424[/C][/ROW]
[ROW][C]0.96[/C][C]1.42768[/C][C]1.42928[/C][C]1.428[/C][C]1.428[/C][C]1.42772[/C][C]1.428[/C][C]1.42872[/C][C]1.43[/C][/ROW]
[ROW][C]0.97[/C][C]1.43552[/C][C]1.437[/C][C]1.437[/C][C]1.437[/C][C]1.43558[/C][C]1.435[/C][C]1.437[/C][C]1.437[/C][/ROW]
[ROW][C]0.98[/C][C]1.43868[/C][C]1.4431[/C][C]1.439[/C][C]1.439[/C][C]1.43872[/C][C]1.439[/C][C]1.4399[/C][C]1.444[/C][/ROW]
[ROW][C]0.99[/C][C]1.44842[/C][C]1.45064[/C][C]1.449[/C][C]1.449[/C][C]1.44843[/C][C]1.448[/C][C]1.45136[/C][C]1.449[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160211&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160211&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:

Percentiles - Ungrouped Data
pWeighted Average at XnpWeighted Average at X(n+1)pEmpirical Distribution FunctionEmpirical Distribution Function - AveragingEmpirical Distribution Function - InterpolationClosest ObservationTrue Basic - Statistics Graphics ToolkitMS Excel (old versions)
0.011.19891.198951.2011.2011.203281.2011.198051.201
0.021.207121.207261.2131.2131.213421.2061.211741.206
0.031.218961.219081.221.221.221421.221.216921.22
0.041.222961.223081.2251.2251.225281.2221.223921.222
0.051.2261.2261.2261.2261.2261.2261.2261.226
0.061.226481.226541.2271.2271.2271.2261.226461.227
0.071.2271.2271.2271.2271.2271.2271.2271.227
0.081.228641.228721.2291.2291.230121.2291.228281.229
0.091.231441.231621.2331.2331.2331.2311.232381.231
0.11.23381.23391.2341.2341.23471.2341.23311.234
0.111.2361.2361.2361.2361.236271.2361.2361.236
0.121.237961.238081.2381.2381.238841.2381.238921.238
0.131.246241.247021.2491.2491.249411.2491.244981.249
0.141.253241.253521.2551.2551.254961.2531.254481.253
0.151.2571.2571.2571.2571.2571.2571.2571.257
0.161.258281.258441.2591.2591.259241.2581.258561.258
0.171.2611.261091.2611.2611.263071.2611.263911.261
0.181.266441.266621.2671.2671.267261.2661.266381.267
0.191.269021.269211.271.271.269831.2691.269791.269
0.21.271.271.271.271.271.271.271.27
0.211.270181.270391.2711.2711.270971.271.270611.27
0.221.271761.271981.2721.2721.272541.2721.271021.272
0.231.273341.273571.2741.2741.274111.2731.273431.274
0.241.278681.279161.2791.2791.279681.2791.279841.279
0.251.281.281.281.281.28051.281.281.28
0.261.2821.2821.2821.2821.2821.2821.2821.282
0.271.2831.2831.2831.2831.283391.2831.2831.283
0.281.284241.284521.2851.2851.284961.2841.284481.285
0.291.285821.286111.2861.2861.286531.2861.286891.286
0.31.28881.28941.291.291.29021.2881.28861.29
0.311.292981.293871.2931.2931.295011.2931.295131.293
0.321.298121.298761.2991.2991.2991.2991.297241.299
0.331.31.31.31.31.31.31.31.3
0.341.302721.3031.3031.3031.3031.3031.3031.303
0.351.3061.3061.3061.3061.3061.3061.3061.306
0.361.3071.3071.3071.3071.3071.3071.3071.307
0.371.308461.308831.3091.3091.309091.3081.308171.309
0.381.311041.311421.3121.3121.311661.3111.311581.311
0.391.312621.313011.3131.3131.313231.3131.313991.313
0.41.31421.31461.3151.3151.31481.3141.31441.315
0.411.315781.3161.3161.3161.3161.3161.3161.316
0.421.3181.3181.3181.3181.3181.3181.3181.318
0.431.321.320371.321.321.320511.321.320631.32
0.441.321521.321961.3221.3221.322081.3221.321041.322
0.451.3241.3241.3241.3241.3241.3241.3241.324
0.461.324681.3251.3251.3251.3251.3251.3251.325
0.471.325261.325731.3261.3261.325791.3251.325271.326
0.481.326841.327321.3271.3271.327361.3271.327681.327
0.491.328421.328911.3291.3291.328931.3281.328091.329
0.51.3311.33151.3311.33151.33151.3311.33151.3315
0.511.3321.3321.3321.3321.3321.3321.3321.332
0.521.3341.3341.3341.3341.3341.3341.3341.334
0.531.3341.334271.3341.3341.334211.3341.334731.334
0.541.3361.3361.3361.3361.3361.3361.3361.336
0.551.3361.3361.3361.3361.3361.3361.3361.336
0.561.337481.338081.3381.3381.337921.3371.339921.338
0.571.341121.342261.3431.3431.341981.3411.341741.343
0.581.345281.346221.3461.3461.346061.3461.346781.346
0.591.3471.3471.3471.3471.3471.3471.3471.347
0.61.3481.3481.3481.3481.3481.3481.3481.348
0.611.348381.348991.3491.3491.348771.3481.348011.349
0.621.349961.351161.351.351.350681.351.350841.352
0.631.352541.353171.3531.3531.352911.3531.353831.353
0.641.354121.354761.3551.3551.354481.3541.354241.355
0.651.3551.355351.3551.3551.355051.3551.355651.355
0.661.3571.3571.3571.3571.3571.3571.3571.357
0.671.357861.3581.3581.3581.3581.3581.3581.358
0.681.358441.359241.3591.3591.358761.3581.360761.359
0.691.3611.3611.3611.3611.3611.3611.3611.361
0.71.36161.36231.3621.3621.36191.3621.36271.362
0.711.363181.363891.3641.3641.363471.3631.363111.364
0.721.3651.3651.3651.3651.3651.3651.3651.365
0.731.365341.3661.3661.3661.365611.3651.3661.366
0.741.3661.366661.3661.3661.366181.3661.366341.367
0.751.36751.368251.3681.3681.367751.3681.368751.368
0.761.370081.370841.3711.3711.370321.371.370161.371
0.771.3711.371431.3711.3711.3711.3711.371571.371
0.781.372241.3731.3731.3731.372461.3721.3731.373
0.791.373821.375221.3741.3741.374061.3741.374781.376
0.81.37641.3771.3771.3771.37661.3761.3771.377
0.811.377981.379581.3781.3781.378341.3781.378421.38
0.821.384121.385381.3851.3851.384481.3851.385621.385
0.831.3861.3861.3861.3861.3861.3861.3861.386
0.841.3861.386561.3861.3861.3861.3861.386441.387
0.851.39031.3911.3911.3911.390451.391.3911.391
0.861.391881.392741.3921.3921.392021.3921.392261.393
0.871.393461.3941.3941.3941.393591.3931.3941.394
0.881.395041.395921.3961.3961.395161.3951.395081.396
0.891.3971.397511.3971.3971.3971.3971.397491.398
0.91.40021.40111.4011.4011.40031.41.40191.401
0.911.4021.402691.4021.4021.4021.4021.402311.403
0.921.406361.407281.4071.4071.406441.4061.407721.407
0.931.408941.4091.4091.4091.4091.4091.4091.409
0.941.411561.413461.4131.4131.411741.4131.413541.413
0.951.41591.424151.4241.4241.416351.4151.426851.424
0.961.427681.429281.4281.4281.427721.4281.428721.43
0.971.435521.4371.4371.4371.435581.4351.4371.437
0.981.438681.44311.4391.4391.438721.4391.43991.444
0.991.448421.450641.4491.4491.448431.4481.451361.449


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Valutakoersen Eur-Dollar ; par4 = 12 ;
Parameters (R input):
R code (references can be found in the software module):
x <-sort(x[!is.na(x)])
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (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+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (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)*p
i <<- floor(np)
f <<- np - i
if (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 <- 25
mystart <- 25
if (lx>10){
mystep=10
mystart=10
}
if (lx>20){
mystep=5
mystart=5
}
if (lx>50){
mystep=2
mystart=2
}
if (lx>=100){
mystep=1
mystart=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,hyperlink('method_1.htm', 'Weighted Average at Xnp',''),1,TRUE)
a<-table.element(a,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),1,TRUE)
a<-table.element(a,hyperlink('method_3.htm','Empirical Distribution Function',''),1,TRUE)
a<-table.element(a,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),1,TRUE)
a<-table.element(a,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),1,TRUE)
a<-table.element(a,hyperlink('method_6.htm','Closest Observation',''),1,TRUE)
a<-table.element(a,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),1,TRUE)
a<-table.element(a,hyperlink('method_8.htm','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,round(qval[perc,j],6))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')