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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Moduleperc.wasp
Title produced by softwarePercentiles and Normal Probability Plot
Date of computationSun, 21 Oct 2007 06:35:36 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/21/z1evxp6jm23jx2x1192973470.htm/, Retrieved Thu, 09 May 2024 14:47:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1319, Retrieved Thu, 09 May 2024 14:47:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Percentiles and Normal Probability Plot] [WS2Q3 Clothing pr...] [2007-10-21 13:35:36] [d66dce91cbb8b108f7114f1eb0c2faa2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109,20
88,60
94,30
98,30
86,40
80,60
104,10
108,20
93,40
71,90
94,10
94,90
96,40
91,10
84,40
86,40
88,00
75,10
109,70
103,00
82,10
68,00
96,40
94,30
90,00
88,00
76,10
82,50
81,40
66,50
97,20
94,10
80,70
70,50
87,80
89,50
99,60
84,20
75,10
92,00
80,80
73,10
99,80
90,00
83,10
72,40
78,80
87,30
91,00
80,10
73,60
86,40
74,50
71,20
92,40
81,50
85,30
69,90
84,20
90,70
100,30

Tables (Output of Computation)





Percentiles - Ungrouped Data
%Weighted 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)
0.0266.830066.860068.000068.000068.380066.500067.640066.5000
0.0468.836068.912069.900069.900070.140068.000068.988068.0000
0.0670.296070.332070.500070.500070.920070.500070.068070.5000
0.0871.116071.172071.200071.200071.760071.200070.528071.2000
0.1071.950072.000072.400072.400072.400071.900072.300071.9000
0.1272.624072.708073.100073.100073.200072.400072.792072.4000
0.1473.370073.440073.600073.600073.960073.600073.260073.6000
0.1674.284074.428074.500074.500074.860074.500073.672074.5000
0.1875.088075.100075.100075.100075.100075.100075.100075.1000
0.2075.300075.500076.100076.100076.100075.100075.700075.1000
0.2277.234077.828078.800078.800079.060076.100077.072078.8000
0.2479.632079.944080.100080.100080.300080.100078.956080.1000
0.2680.530080.612080.600080.600080.660080.600080.688080.6000
0.2880.708080.736080.800080.800080.780080.700080.764080.7000
0.3080.980081.160081.400081.400081.400080.800081.040081.4000
0.3281.452081.484081.500081.500081.620081.500081.416081.5000
0.3481.944082.132082.100082.100082.260082.100082.468082.1000
0.3682.484082.692082.500082.500082.860082.500082.908082.5000
0.3883.298083.716084.200084.200083.980083.100083.584084.2000
0.4084.200084.200084.200084.200084.200084.200084.200084.2000
0.4284.324084.436084.400084.400084.580084.400085.264084.4000
0.4485.156085.608085.300085.300085.740085.300086.092085.3000
0.4686.400086.400086.400086.400086.400086.400086.400086.4000
0.4886.400086.400086.400086.400086.400086.400086.400086.4000
0.5086.850087.300087.300087.300087.300087.300087.300087.3000
0.5287.660087.848087.800087.800087.840087.800087.952087.8000
0.5487.988088.000088.000088.000088.000088.000088.000088.0000
0.5688.096088.432088.600088.600088.360088.000088.168088.6000
0.5888.942089.464089.500089.500089.320088.600088.636089.5000
0.6089.800090.000090.000090.000090.000090.000090.000090.0000
0.6290.000090.308090.000090.000090.140090.000090.392090.0000
0.6490.712090.904091.000091.000090.820090.700090.796091.0000
0.6691.026091.092091.100091.100091.060091.000091.008091.1000
0.6891.532092.064092.000092.000091.820091.100092.336092.0000
0.7092.280092.800092.400092.400092.400092.400093.000092.4000
0.7293.320093.848093.400093.400093.540093.400093.652094.1000
0.7494.100094.100094.100094.100094.100094.100094.100094.1000
0.7694.172094.300094.300094.300094.220094.100094.300094.3000
0.7894.300094.516094.300094.300094.300094.300094.684094.3000
0.8094.780095.800094.900094.900094.900094.900095.500096.4000
0.8296.400096.400096.400096.400096.400096.400096.400096.4000
0.8496.592097.288097.200097.200096.720096.400098.212097.2000
0.8697.706098.716098.300098.300097.860097.200099.184098.3000
0.8899.184099.712099.600099.600099.340099.600099.688099.8000
0.9099.7800100.200099.800099.800099.800099.800099.9000100.3000
0.92100.6240103.0440103.0000103.0000100.8400100.3000104.0560103.0000
0.94103.3740105.2480104.1000104.1000103.4400103.0000107.0520104.1000
0.96106.3960108.7200108.2000108.2000106.5600108.2000108.6800109.2000
0.98108.9800109.5800109.2000109.2000109.0000109.2000109.3200109.7000

\begin{tabular}{lllllllll}
\hline

Percentiles - Ungrouped Data \tabularnewline

%
Weighted 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) \tabularnewline 0.0266.830066.860068.000068.000068.380066.500067.640066.5000 \tabularnewline 0.0468.836068.912069.900069.900070.140068.000068.988068.0000 \tabularnewline 0.0670.296070.332070.500070.500070.920070.500070.068070.5000 \tabularnewline 0.0871.116071.172071.200071.200071.760071.200070.528071.2000 \tabularnewline 0.1071.950072.000072.400072.400072.400071.900072.300071.9000 \tabularnewline 0.1272.624072.708073.100073.100073.200072.400072.792072.4000 \tabularnewline 0.1473.370073.440073.600073.600073.960073.600073.260073.6000 \tabularnewline 0.1674.284074.428074.500074.500074.860074.500073.672074.5000 \tabularnewline 0.1875.088075.100075.100075.100075.100075.100075.100075.1000 \tabularnewline 0.2075.300075.500076.100076.100076.100075.100075.700075.1000 \tabularnewline 0.2277.234077.828078.800078.800079.060076.100077.072078.8000 \tabularnewline 0.2479.632079.944080.100080.100080.300080.100078.956080.1000 \tabularnewline 0.2680.530080.612080.600080.600080.660080.600080.688080.6000 \tabularnewline 0.2880.708080.736080.800080.800080.780080.700080.764080.7000 \tabularnewline 0.3080.980081.160081.400081.400081.400080.800081.040081.4000 \tabularnewline 0.3281.452081.484081.500081.500081.620081.500081.416081.5000 \tabularnewline 0.3481.944082.132082.100082.100082.260082.100082.468082.1000 \tabularnewline 0.3682.484082.692082.500082.500082.860082.500082.908082.5000 \tabularnewline 0.3883.298083.716084.200084.200083.980083.100083.584084.2000 \tabularnewline 0.4084.200084.200084.200084.200084.200084.200084.200084.2000 \tabularnewline 0.4284.324084.436084.400084.400084.580084.400085.264084.4000 \tabularnewline 0.4485.156085.608085.300085.300085.740085.300086.092085.3000 \tabularnewline 0.4686.400086.400086.400086.400086.400086.400086.400086.4000 \tabularnewline 0.4886.400086.400086.400086.400086.400086.400086.400086.4000 \tabularnewline 0.5086.850087.300087.300087.300087.300087.300087.300087.3000 \tabularnewline 0.5287.660087.848087.800087.800087.840087.800087.952087.8000 \tabularnewline 0.5487.988088.000088.000088.000088.000088.000088.000088.0000 \tabularnewline 0.5688.096088.432088.600088.600088.360088.000088.168088.6000 \tabularnewline 0.5888.942089.464089.500089.500089.320088.600088.636089.5000 \tabularnewline 0.6089.800090.000090.000090.000090.000090.000090.000090.0000 \tabularnewline 0.6290.000090.308090.000090.000090.140090.000090.392090.0000 \tabularnewline 0.6490.712090.904091.000091.000090.820090.700090.796091.0000 \tabularnewline 0.6691.026091.092091.100091.100091.060091.000091.008091.1000 \tabularnewline 0.6891.532092.064092.000092.000091.820091.100092.336092.0000 \tabularnewline 0.7092.280092.800092.400092.400092.400092.400093.000092.4000 \tabularnewline 0.7293.320093.848093.400093.400093.540093.400093.652094.1000 \tabularnewline 0.7494.100094.100094.100094.100094.100094.100094.100094.1000 \tabularnewline 0.7694.172094.300094.300094.300094.220094.100094.300094.3000 \tabularnewline 0.7894.300094.516094.300094.300094.300094.300094.684094.3000 \tabularnewline 0.8094.780095.800094.900094.900094.900094.900095.500096.4000 \tabularnewline 0.8296.400096.400096.400096.400096.400096.400096.400096.4000 \tabularnewline 0.8496.592097.288097.200097.200096.720096.400098.212097.2000 \tabularnewline 0.8697.706098.716098.300098.300097.860097.200099.184098.3000 \tabularnewline 0.8899.184099.712099.600099.600099.340099.600099.688099.8000 \tabularnewline 0.9099.7800100.200099.800099.800099.800099.800099.9000100.3000 \tabularnewline 0.92100.6240103.0440103.0000103.0000100.8400100.3000104.0560103.0000 \tabularnewline 0.94103.3740105.2480104.1000104.1000103.4400103.0000107.0520104.1000 \tabularnewline 0.96106.3960108.7200108.2000108.2000106.5600108.2000108.6800109.2000 \tabularnewline 0.98108.9800109.5800109.2000109.2000109.0000109.2000109.3200109.7000 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=1319&T=0

[TABLE]

[ROW][C]Percentiles - Ungrouped Data[/C][/ROW]

[ROW][C]%[/C]
Weighted Average at Xnp[/C]Weighted Average at X(n+1)p[/C]Empirical Distribution Function[/C]Empirical Distribution Function - Averaging[/C]Empirical Distribution Function - Interpolation[/C]Closest Observation[/C]True Basic - Statistics Graphics Toolkit[/C]MS Excel (old versions)[/C][/ROW] [ROW]0.02[/C]66.8300[/C]66.8600[/C]68.0000[/C]68.0000[/C]68.3800[/C]66.5000[/C]67.6400[/C]66.5000[/C][/ROW] [ROW]0.04[/C]68.8360[/C]68.9120[/C]69.9000[/C]69.9000[/C]70.1400[/C]68.0000[/C]68.9880[/C]68.0000[/C][/ROW] [ROW]0.06[/C]70.2960[/C]70.3320[/C]70.5000[/C]70.5000[/C]70.9200[/C]70.5000[/C]70.0680[/C]70.5000[/C][/ROW] [ROW]0.08[/C]71.1160[/C]71.1720[/C]71.2000[/C]71.2000[/C]71.7600[/C]71.2000[/C]70.5280[/C]71.2000[/C][/ROW] [ROW]0.10[/C]71.9500[/C]72.0000[/C]72.4000[/C]72.4000[/C]72.4000[/C]71.9000[/C]72.3000[/C]71.9000[/C][/ROW] [ROW]0.12[/C]72.6240[/C]72.7080[/C]73.1000[/C]73.1000[/C]73.2000[/C]72.4000[/C]72.7920[/C]72.4000[/C][/ROW] [ROW]0.14[/C]73.3700[/C]73.4400[/C]73.6000[/C]73.6000[/C]73.9600[/C]73.6000[/C]73.2600[/C]73.6000[/C][/ROW] [ROW]0.16[/C]74.2840[/C]74.4280[/C]74.5000[/C]74.5000[/C]74.8600[/C]74.5000[/C]73.6720[/C]74.5000[/C][/ROW] [ROW]0.18[/C]75.0880[/C]75.1000[/C]75.1000[/C]75.1000[/C]75.1000[/C]75.1000[/C]75.1000[/C]75.1000[/C][/ROW] [ROW]0.20[/C]75.3000[/C]75.5000[/C]76.1000[/C]76.1000[/C]76.1000[/C]75.1000[/C]75.7000[/C]75.1000[/C][/ROW] [ROW]0.22[/C]77.2340[/C]77.8280[/C]78.8000[/C]78.8000[/C]79.0600[/C]76.1000[/C]77.0720[/C]78.8000[/C][/ROW] [ROW]0.24[/C]79.6320[/C]79.9440[/C]80.1000[/C]80.1000[/C]80.3000[/C]80.1000[/C]78.9560[/C]80.1000[/C][/ROW] [ROW]0.26[/C]80.5300[/C]80.6120[/C]80.6000[/C]80.6000[/C]80.6600[/C]80.6000[/C]80.6880[/C]80.6000[/C][/ROW] [ROW]0.28[/C]80.7080[/C]80.7360[/C]80.8000[/C]80.8000[/C]80.7800[/C]80.7000[/C]80.7640[/C]80.7000[/C][/ROW] [ROW]0.30[/C]80.9800[/C]81.1600[/C]81.4000[/C]81.4000[/C]81.4000[/C]80.8000[/C]81.0400[/C]81.4000[/C][/ROW] [ROW]0.32[/C]81.4520[/C]81.4840[/C]81.5000[/C]81.5000[/C]81.6200[/C]81.5000[/C]81.4160[/C]81.5000[/C][/ROW] [ROW]0.34[/C]81.9440[/C]82.1320[/C]82.1000[/C]82.1000[/C]82.2600[/C]82.1000[/C]82.4680[/C]82.1000[/C][/ROW] [ROW]0.36[/C]82.4840[/C]82.6920[/C]82.5000[/C]82.5000[/C]82.8600[/C]82.5000[/C]82.9080[/C]82.5000[/C][/ROW] [ROW]0.38[/C]83.2980[/C]83.7160[/C]84.2000[/C]84.2000[/C]83.9800[/C]83.1000[/C]83.5840[/C]84.2000[/C][/ROW] [ROW]0.40[/C]84.2000[/C]84.2000[/C]84.2000[/C]84.2000[/C]84.2000[/C]84.2000[/C]84.2000[/C]84.2000[/C][/ROW] [ROW]0.42[/C]84.3240[/C]84.4360[/C]84.4000[/C]84.4000[/C]84.5800[/C]84.4000[/C]85.2640[/C]84.4000[/C][/ROW] [ROW]0.44[/C]85.1560[/C]85.6080[/C]85.3000[/C]85.3000[/C]85.7400[/C]85.3000[/C]86.0920[/C]85.3000[/C][/ROW] [ROW]0.46[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C][/ROW] [ROW]0.48[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C]86.4000[/C][/ROW] [ROW]0.50[/C]86.8500[/C]87.3000[/C]87.3000[/C]87.3000[/C]87.3000[/C]87.3000[/C]87.3000[/C]87.3000[/C][/ROW] [ROW]0.52[/C]87.6600[/C]87.8480[/C]87.8000[/C]87.8000[/C]87.8400[/C]87.8000[/C]87.9520[/C]87.8000[/C][/ROW] [ROW]0.54[/C]87.9880[/C]88.0000[/C]88.0000[/C]88.0000[/C]88.0000[/C]88.0000[/C]88.0000[/C]88.0000[/C][/ROW] [ROW]0.56[/C]88.0960[/C]88.4320[/C]88.6000[/C]88.6000[/C]88.3600[/C]88.0000[/C]88.1680[/C]88.6000[/C][/ROW] [ROW]0.58[/C]88.9420[/C]89.4640[/C]89.5000[/C]89.5000[/C]89.3200[/C]88.6000[/C]88.6360[/C]89.5000[/C][/ROW] [ROW]0.60[/C]89.8000[/C]90.0000[/C]90.0000[/C]90.0000[/C]90.0000[/C]90.0000[/C]90.0000[/C]90.0000[/C][/ROW] [ROW]0.62[/C]90.0000[/C]90.3080[/C]90.0000[/C]90.0000[/C]90.1400[/C]90.0000[/C]90.3920[/C]90.0000[/C][/ROW] [ROW]0.64[/C]90.7120[/C]90.9040[/C]91.0000[/C]91.0000[/C]90.8200[/C]90.7000[/C]90.7960[/C]91.0000[/C][/ROW] [ROW]0.66[/C]91.0260[/C]91.0920[/C]91.1000[/C]91.1000[/C]91.0600[/C]91.0000[/C]91.0080[/C]91.1000[/C][/ROW] [ROW]0.68[/C]91.5320[/C]92.0640[/C]92.0000[/C]92.0000[/C]91.8200[/C]91.1000[/C]92.3360[/C]92.0000[/C][/ROW] [ROW]0.70[/C]92.2800[/C]92.8000[/C]92.4000[/C]92.4000[/C]92.4000[/C]92.4000[/C]93.0000[/C]92.4000[/C][/ROW] [ROW]0.72[/C]93.3200[/C]93.8480[/C]93.4000[/C]93.4000[/C]93.5400[/C]93.4000[/C]93.6520[/C]94.1000[/C][/ROW] [ROW]0.74[/C]94.1000[/C]94.1000[/C]94.1000[/C]94.1000[/C]94.1000[/C]94.1000[/C]94.1000[/C]94.1000[/C][/ROW] [ROW]0.76[/C]94.1720[/C]94.3000[/C]94.3000[/C]94.3000[/C]94.2200[/C]94.1000[/C]94.3000[/C]94.3000[/C][/ROW] [ROW]0.78[/C]94.3000[/C]94.5160[/C]94.3000[/C]94.3000[/C]94.3000[/C]94.3000[/C]94.6840[/C]94.3000[/C][/ROW] [ROW]0.80[/C]94.7800[/C]95.8000[/C]94.9000[/C]94.9000[/C]94.9000[/C]94.9000[/C]95.5000[/C]96.4000[/C][/ROW] [ROW]0.82[/C]96.4000[/C]96.4000[/C]96.4000[/C]96.4000[/C]96.4000[/C]96.4000[/C]96.4000[/C]96.4000[/C][/ROW] [ROW]0.84[/C]96.5920[/C]97.2880[/C]97.2000[/C]97.2000[/C]96.7200[/C]96.4000[/C]98.2120[/C]97.2000[/C][/ROW] [ROW]0.86[/C]97.7060[/C]98.7160[/C]98.3000[/C]98.3000[/C]97.8600[/C]97.2000[/C]99.1840[/C]98.3000[/C][/ROW] [ROW]0.88[/C]99.1840[/C]99.7120[/C]99.6000[/C]99.6000[/C]99.3400[/C]99.6000[/C]99.6880[/C]99.8000[/C][/ROW] [ROW]0.90[/C]99.7800[/C]100.2000[/C]99.8000[/C]99.8000[/C]99.8000[/C]99.8000[/C]99.9000[/C]100.3000[/C][/ROW] [ROW]0.92[/C]100.6240[/C]103.0440[/C]103.0000[/C]103.0000[/C]100.8400[/C]100.3000[/C]104.0560[/C]103.0000[/C][/ROW] [ROW]0.94[/C]103.3740[/C]105.2480[/C]104.1000[/C]104.1000[/C]103.4400[/C]103.0000[/C]107.0520[/C]104.1000[/C][/ROW] [ROW]0.96[/C]106.3960[/C]108.7200[/C]108.2000[/C]108.2000[/C]106.5600[/C]108.2000[/C]108.6800[/C]109.2000[/C][/ROW] [ROW]0.98[/C]108.9800[/C]109.5800[/C]109.2000[/C]109.2000[/C]109.0000[/C]109.2000[/C]109.3200[/C]109.7000[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=1319&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1319&T=0

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Percentiles - Ungrouped Data
%Weighted 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)
0.0266.830066.860068.000068.000068.380066.500067.640066.5000
0.0468.836068.912069.900069.900070.140068.000068.988068.0000
0.0670.296070.332070.500070.500070.920070.500070.068070.5000
0.0871.116071.172071.200071.200071.760071.200070.528071.2000
0.1071.950072.000072.400072.400072.400071.900072.300071.9000
0.1272.624072.708073.100073.100073.200072.400072.792072.4000
0.1473.370073.440073.600073.600073.960073.600073.260073.6000
0.1674.284074.428074.500074.500074.860074.500073.672074.5000
0.1875.088075.100075.100075.100075.100075.100075.100075.1000
0.2075.300075.500076.100076.100076.100075.100075.700075.1000
0.2277.234077.828078.800078.800079.060076.100077.072078.8000
0.2479.632079.944080.100080.100080.300080.100078.956080.1000
0.2680.530080.612080.600080.600080.660080.600080.688080.6000
0.2880.708080.736080.800080.800080.780080.700080.764080.7000
0.3080.980081.160081.400081.400081.400080.800081.040081.4000
0.3281.452081.484081.500081.500081.620081.500081.416081.5000
0.3481.944082.132082.100082.100082.260082.100082.468082.1000
0.3682.484082.692082.500082.500082.860082.500082.908082.5000
0.3883.298083.716084.200084.200083.980083.100083.584084.2000
0.4084.200084.200084.200084.200084.200084.200084.200084.2000
0.4284.324084.436084.400084.400084.580084.400085.264084.4000
0.4485.156085.608085.300085.300085.740085.300086.092085.3000
0.4686.400086.400086.400086.400086.400086.400086.400086.4000
0.4886.400086.400086.400086.400086.400086.400086.400086.4000
0.5086.850087.300087.300087.300087.300087.300087.300087.3000
0.5287.660087.848087.800087.800087.840087.800087.952087.8000
0.5487.988088.000088.000088.000088.000088.000088.000088.0000
0.5688.096088.432088.600088.600088.360088.000088.168088.6000
0.5888.942089.464089.500089.500089.320088.600088.636089.5000
0.6089.800090.000090.000090.000090.000090.000090.000090.0000
0.6290.000090.308090.000090.000090.140090.000090.392090.0000
0.6490.712090.904091.000091.000090.820090.700090.796091.0000
0.6691.026091.092091.100091.100091.060091.000091.008091.1000
0.6891.532092.064092.000092.000091.820091.100092.336092.0000
0.7092.280092.800092.400092.400092.400092.400093.000092.4000
0.7293.320093.848093.400093.400093.540093.400093.652094.1000
0.7494.100094.100094.100094.100094.100094.100094.100094.1000
0.7694.172094.300094.300094.300094.220094.100094.300094.3000
0.7894.300094.516094.300094.300094.300094.300094.684094.3000
0.8094.780095.800094.900094.900094.900094.900095.500096.4000
0.8296.400096.400096.400096.400096.400096.400096.400096.4000
0.8496.592097.288097.200097.200096.720096.400098.212097.2000
0.8697.706098.716098.300098.300097.860097.200099.184098.3000
0.8899.184099.712099.600099.600099.340099.600099.688099.8000
0.9099.7800100.200099.800099.800099.800099.800099.9000100.3000
0.92100.6240103.0440103.0000103.0000100.8400100.3000104.0560103.0000
0.94103.3740105.2480104.1000104.1000103.4400103.0000107.0520104.1000
0.96106.3960108.7200108.2000108.2000106.5600108.2000108.6800109.2000
0.98108.9800109.5800109.2000109.2000109.0000109.2000109.3200109.7000


Figures (Output of Computation)

Input Parameters & R Code

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