Home » date » 2009 » Aug » 18 »

Opgave 5 - Oefening 1 - stap 6 correctie - Robbert Van Hees

*Unverified author*
R Software Module: rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Tue, 18 Aug 2009 10:45:35 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Aug/18/t1250614078kfllhotobzo7ksx.htm/, Retrieved Tue, 18 Aug 2009 18:47:58 +0200
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Aug/18/t1250614078kfllhotobzo7ksx.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1 1 1 2 4 5 5 6 6 6 6 6 6 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean10.72413793103450.0756976872578039141.670615305739
Geometric Mean10.4571709080317
Harmonic Mean9.97426406133136
Quadratic Mean10.9462528676732
Winsorized Mean ( 1 / 280 )10.71462544589770.0736841240137106145.412944637898
Winsorized Mean ( 2 / 280 )10.70986920332940.0730444824230529146.621193662525
Winsorized Mean ( 3 / 280 )10.71343638525560.0725069594668046147.757352729161
Winsorized Mean ( 4 / 280 )10.71819262782400.0707508211162803151.492130532428
Winsorized Mean ( 5 / 280 )10.72413793103450.0701257091520904152.927336645904
Winsorized Mean ( 6 / 280 )10.71700356718190.0694222035323256154.374292688530
Winsorized Mean ( 7 / 280 )10.72532699167660.0686729275208929156.179842317244
Winsorized Mean ( 8 / 280 )10.72532699167660.0686729275208929156.179842317244
Winsorized Mean ( 9 / 280 )10.72532699167660.0686729275208929156.179842317244
Winsorized Mean ( 10 / 280 )10.71343638525560.0676803298147603158.294683471226
Winsorized Mean ( 11 / 280 )10.71343638525560.0676803298147603158.294683471226
Winsorized Mean ( 12 / 280 )10.71343638525560.0676803298147603158.294683471226
Winsorized Mean ( 13 / 280 )10.71343638525560.0676803298147603158.294683471226
Winsorized Mean ( 14 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 15 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 16 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 17 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 18 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 19 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 20 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 21 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 22 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 23 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 24 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 25 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 26 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 27 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 28 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 29 / 280 )10.73008323424490.0664326433025459161.518234121413
Winsorized Mean ( 30 / 280 )10.69441141498220.0639655474890321167.190180257832
Winsorized Mean ( 31 / 280 )10.69441141498220.0639655474890321167.190180257832
Winsorized Mean ( 32 / 280 )10.69441141498220.0639655474890321167.190180257832
Winsorized Mean ( 33 / 280 )10.69441141498220.0639655474890321167.190180257832
Winsorized Mean ( 34 / 280 )10.69441141498220.0639655474890321167.190180257832
Winsorized Mean ( 35 / 280 )10.69441141498220.0639655474890321167.190180257832
Winsorized Mean ( 36 / 280 )10.69441141498220.0639655474890321167.190180257832
Winsorized Mean ( 37 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 38 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 39 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 40 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 41 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 42 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 43 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 44 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 45 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 46 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 47 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 48 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 49 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 50 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 51 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 52 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 53 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 54 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 55 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 56 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 57 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 58 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 59 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 60 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 61 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 62 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 63 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 64 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 65 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 66 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 67 / 280 )10.73840665873960.0612753666022291175.248346182052
Winsorized Mean ( 68 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 69 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 70 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 71 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 72 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 73 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 74 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 75 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 76 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 77 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 78 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 79 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 80 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 81 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 82 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 83 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 84 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 85 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 86 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 87 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 88 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 89 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 90 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 91 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 92 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 93 / 280 )10.65755053507730.0567030914347244187.953606503908
Winsorized Mean ( 94 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 95 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 96 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 97 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 98 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 99 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 100 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 101 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 102 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 103 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 104 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 105 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 106 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 107 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 108 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 109 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 110 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 111 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 112 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 113 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 114 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 115 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 116 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 117 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 118 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 119 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 120 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 121 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 122 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 123 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 124 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 125 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 126 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 127 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 128 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 129 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 130 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 131 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 132 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 133 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 134 / 280 )10.54577883472060.0520581377575871202.576951250693
Winsorized Mean ( 135 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 136 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 137 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 138 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 139 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 140 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 141 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 142 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 143 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 144 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 145 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 146 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 147 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 148 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 149 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 150 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 151 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 152 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 153 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 154 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 155 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 156 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 157 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 158 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 159 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 160 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 161 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 162 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 163 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 164 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 165 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 166 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 167 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 168 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 169 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 170 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 171 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 172 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 173 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 174 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 175 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 176 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 177 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 178 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 179 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 180 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 181 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 182 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 183 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 184 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 185 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 186 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 187 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 188 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 189 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 190 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 191 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 192 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 193 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 194 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 195 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 196 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 197 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 198 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 199 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 200 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 201 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 202 / 280 )10.70630202140310.0435600869167704245.782384269789
Winsorized Mean ( 203 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 204 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 205 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 206 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 207 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 208 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 209 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 210 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 211 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 212 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 213 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 214 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 215 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 216 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 217 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 218 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 219 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 220 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 221 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 222 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 223 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 224 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 225 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 226 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 227 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 228 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 229 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 230 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 231 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 232 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 233 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 234 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 235 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 236 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 237 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 238 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 239 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 240 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 241 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 242 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 243 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 244 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 245 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 246 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 247 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 248 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 249 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 250 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 251 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 252 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 253 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 254 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 255 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 256 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 257 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 258 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 259 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 260 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 261 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 262 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 263 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 264 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 265 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 266 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 267 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 268 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 269 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 270 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 271 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 272 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 273 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 274 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 275 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 276 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 277 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 278 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 279 / 280 )10.94768133174790.0336874201685581324.97832356916
Winsorized Mean ( 280 / 280 )10.94768133174790.0336874201685581324.97832356916
Trimmed Mean ( 1 / 280 )10.72413793103450.072100091331695148.739588715614
Trimmed Mean ( 2 / 280 )10.71513706793800.070464333933893152.064689605816
Trimmed Mean ( 3 / 280 )10.71856287425150.0691179976539498155.076293267575
Trimmed Mean ( 4 / 280 )10.71856287425150.0679271397014608157.794998013452
Trimmed Mean ( 5 / 280 )10.72081829121540.0671840273980062159.573915206125
Trimmed Mean ( 6 / 280 )10.72014475271410.0665611827702385161.057005097383
Trimmed Mean ( 7 / 280 )10.72067714631200.0660541436761654162.301356881875
Trimmed Mean ( 8 / 280 )10.72067714631200.0656548698116096163.288377192338
Trimmed Mean ( 9 / 280 )10.71931956257590.0652488247183451164.283718654662
Trimmed Mean ( 10 / 280 )10.71863580998780.0648358317891207165.319631355241
Trimmed Mean ( 11 / 280 )10.71916971916970.0645264093515004166.120660159133
Trimmed Mean ( 12 / 280 )10.71970624235010.0642120402164452166.942308735499
Trimmed Mean ( 13 / 280 )10.7202453987730.0638926114256407167.785369224569
Trimmed Mean ( 14 / 280 )10.72078720787210.0635680060218282168.650676319637
Trimmed Mean ( 15 / 280 )10.72009864364980.0633396231413585169.247906949575
Trimmed Mean ( 16 / 280 )10.72009864364980.0631077376383857169.869797980672
Trimmed Mean ( 17 / 280 )10.71871127633210.0628722791739847170.483898741296
Trimmed Mean ( 18 / 280 )10.71801242236020.0626331753159521171.123567794438
Trimmed Mean ( 19 / 280 )10.71731008717310.062390351450516171.778325302004
Trimmed Mean ( 20 / 280 )10.71660424469410.0621437306891049172.448678665714
Trimmed Mean ( 21 / 280 )10.71589486858570.0618932337698324173.135158980961
Trimmed Mean ( 22 / 280 )10.71518193224590.0616387789533171173.838322468412
Trimmed Mean ( 23 / 280 )10.71446540880500.0613802819124329174.558752012424
Trimmed Mean ( 24 / 280 )10.71374527112230.0611176556155431175.297058815811
Trimmed Mean ( 25 / 280 )10.71302149178260.0608508102027363176.053884181493
Trimmed Mean ( 26 / 280 )10.71229404309250.0605796528545358176.829901432663
Trimmed Mean ( 27 / 280 )10.71156289707750.0603040876525102177.625817984357
Trimmed Mean ( 28 / 280 )10.71082802547770.0600240154311549178.44237758073
Trimmed Mean ( 29 / 280 )10.71008939974460.0597393336203607179.280362713894
Trimmed Mean ( 30 / 280 )10.70934699103710.0594499360777157180.140597241978
Trimmed Mean ( 31 / 280 )10.70934699103710.0592613519965192180.713848574804
Trimmed Mean ( 32 / 280 )10.70988446726570.0590698078108504181.308943844210
Trimmed Mean ( 33 / 280 )10.71096774193550.0588752454824768181.926506703457
Trimmed Mean ( 34 / 280 )10.71151358344110.0586776053274987182.548580905044
Trimmed Mean ( 35 / 280 )10.71206225680930.0584768259509504183.184741692281
Trimmed Mean ( 36 / 280 )10.71261378413520.0582728441779642183.835437162104
Trimmed Mean ( 37 / 280 )10.71316818774450.0580655949812701184.501135159300
Trimmed Mean ( 38 / 280 )10.71241830065360.0579499556088637184.856367672783
Trimmed Mean ( 39 / 280 )10.71166448230670.0578324525432652185.218921405644
Trimmed Mean ( 40 / 280 )10.71090670170830.0577130532755773185.588980201137
Trimmed Mean ( 41 / 280 )10.71014492753620.0575917245306694185.96673419343
Trimmed Mean ( 42 / 280 )10.70937912813740.0574684322428276186.352380083832
Trimmed Mean ( 43 / 280 )10.70860927152320.0573431415303984186.746121431914
Trimmed Mean ( 44 / 280 )10.70783532536520.0572158166693713187.14816896247
Trimmed Mean ( 45 / 280 )10.70705725699070.0570864210658482187.558740889366
Trimmed Mean ( 46 / 280 )10.70627503337780.056954917227338187.978063257353
Trimmed Mean ( 47 / 280 )10.70548862115130.0568212667328145188.406370303054
Trimmed Mean ( 48 / 280 )10.70469798657720.0566854302014721188.8439048364
Trimmed Mean ( 49 / 280 )10.70390309555850.0565473672601065189.290918643882
Trimmed Mean ( 50 / 280 )10.70310391363020.0564070365090463189.747672915128
Trimmed Mean ( 51 / 280 )10.7023004059540.0562643954865535190.214438694391
Trimmed Mean ( 52 / 280 )10.70149253731340.0561194006316077190.691497358689
Trimmed Mean ( 53 / 280 )10.70068027210880.0559720072449814191.179141124482
Trimmed Mean ( 54 / 280 )10.69986357435200.0558221694485084191.677673584897
Trimmed Mean ( 55 / 280 )10.69904240766070.0556698401424403192.187410279705
Trimmed Mean ( 56 / 280 )10.69821673525380.0555149709607777192.708679300440
Trimmed Mean ( 57 / 280 )10.69738651994500.0553575122244569193.241821933228
Trimmed Mean ( 58 / 280 )10.69655172413790.0551974128922611193.787193342129
Trimmed Mean ( 59 / 280 )10.69571230982020.0550346205093196194.345163296056
Trimmed Mean ( 60 / 280 )10.69486823855760.054869081153044194.916116942560
Trimmed Mean ( 61 / 280 )10.69401947148820.0547007393763435195.500455632105
Trimmed Mean ( 62 / 280 )10.69401947148820.0545295381479449196.114249903861
Trimmed Mean ( 63 / 280 )10.69316596931660.0543554187896351196.726769978555
Trimmed Mean ( 64 / 280 )10.69230769230770.0541783209102237197.353987954433
Trimmed Mean ( 65 / 280 )10.69057665260200.0539981823360126197.980305819890
Trimmed Mean ( 66 / 280 )10.68970380818050.05381493903754198.638222013476
Trimmed Mean ( 67 / 280 )10.68882602545970.0536285250523473199.312325204287
Trimmed Mean ( 68 / 280 )10.68794326241130.053438872403499200.003158407054
Trimmed Mean ( 69 / 280 )10.68847795163580.0533528255716866200.335742992177
Trimmed Mean ( 70 / 280 )10.68901569186880.0532652084849459200.67537508822
Trimmed Mean ( 71 / 280 )10.6895565092990.0531759928993817201.022226882073
Trimmed Mean ( 72 / 280 )10.69010043041610.0530851499078449201.376476264528
Trimmed Mean ( 73 / 280 )10.69064748201440.0529926499193938201.738307072316
Trimmed Mean ( 74 / 280 )10.69119769119770.052898462637937202.107909342725
Trimmed Mean ( 75 / 280 )10.69175108538350.0528025570400176202.485479581614
Trimmed Mean ( 76 / 280 )10.69230769230770.0527049013516954202.871221045626
Trimmed Mean ( 77 / 280 )10.69286754002910.0526054630244814203.265344039513
Trimmed Mean ( 78 / 280 )10.69343065693430.0525042087102761203.668066229544
Trimmed Mean ( 79 / 280 )10.69399707174230.0524011042352611204.079612974
Trimmed Mean ( 80 / 280 )10.69456681350950.0522961145726873204.500217671907
Trimmed Mean ( 81 / 280 )10.69513991163480.0521892038145047204.930122131166
Trimmed Mean ( 82 / 280 )10.69571639586410.0520803351417687205.369576957390
Trimmed Mean ( 83 / 280 )10.69629629629630.0519694707937598205.818841964822
Trimmed Mean ( 84 / 280 )10.69687964338780.0518565720357456206.278186610836
Trimmed Mean ( 85 / 280 )10.69746646795830.0517415991253105206.747890455620
Trimmed Mean ( 86 / 280 )10.69805680119580.0516245112771734207.228243648790
Trimmed Mean ( 87 / 280 )10.69865067466270.0515052666264098207.719547444821
Trimmed Mean ( 88 / 280 )10.69924812030080.0513838221899855208.222114749299
Trimmed Mean ( 89 / 280 )10.69984917043740.0512601338265072208.736270698232
Trimmed Mean ( 90 / 280 )10.70045385779120.0511341561940849209.262353272763
Trimmed Mean ( 91 / 280 )10.7010622154780.0510058427061963209.800713951894
Trimmed Mean ( 92 / 280 )10.70167427701670.0508751454854338210.351718406010
Trimmed Mean ( 93 / 280 )10.70229007633590.0507420153150069210.915747234239
Trimmed Mean ( 94 / 280 )10.70290964777950.0506064015878641211.493196748969
Trimmed Mean ( 95 / 280 )10.70506912442400.0505522677836299211.762391555667
Trimmed Mean ( 96 / 280 )10.70724191063170.050496779825325212.038113077101
Trimmed Mean ( 97 / 280 )10.70942812983000.0504399108946519212.320520395001
Trimmed Mean ( 98 / 280 )10.71162790697670.0503816335171222212.609777794052
Trimmed Mean ( 99 / 280 )10.71384136858480.0503219195416066212.906054979211
Trimmed Mean ( 100 / 280 )10.71606864274570.0502607401190826213.209527304138
Trimmed Mean ( 101 / 280 )10.71830985915490.0501980656805402213.520376011421
Trimmed Mean ( 102 / 280 )10.72056514913660.0501338659140051213.838788485325
Trimmed Mean ( 103 / 280 )10.72283464566930.0500681097406354214.164958517829
Trimmed Mean ( 104 / 280 )10.72511848341230.0500007652898455214.499086588790
Trimmed Mean ( 105 / 280 )10.72741679873220.0499317998734091214.841380161123
Trimmed Mean ( 106 / 280 )10.72972972972970.0498611799584886215.192053991956
Trimmed Mean ( 107 / 280 )10.73205741626790.0497888711395367215.551330460790
Trimmed Mean ( 108 / 280 )10.73440.0497148381090106215.919439915755
Trimmed Mean ( 109 / 280 )10.73440.0496390446268381216.249125677094
Trimmed Mean ( 110 / 280 )10.73913043478260.0495614534885691216.683121233712
Trimmed Mean ( 111 / 280 )10.73913043478260.0494820264921412217.030934181490
Trimmed Mean ( 112 / 280 )10.74392220421390.0494007244031867217.485114520322
Trimmed Mean ( 113 / 280 )10.74392220421390.0493175069188001217.852095036018
Trimmed Mean ( 114 / 280 )10.74877650897230.0492323326296814218.327589509582
Trimmed Mean ( 115 / 280 )10.75122749590830.0491451589805649218.764731235483
Trimmed Mean ( 116 / 280 )10.75369458128080.0490559422288372219.212884162264
Trimmed Mean ( 117 / 280 )10.75617792421750.0489646374012411219.672369593507
Trimmed Mean ( 118 / 280 )10.75867768595040.0488711982485551220.143521573435
Trimmed Mean ( 119 / 280 )10.76119402985070.0487755771981307220.6266875354
Trimmed Mean ( 120 / 280 )10.76372712146420.048677725304161221.122228990929
Trimmed Mean ( 121 / 280 )10.76627712854760.0485775921955468221.630522262372
Trimmed Mean ( 122 / 280 )10.76884422110550.048475126021213222.151959262427
Trimmed Mean ( 123 / 280 )10.77142857142860.0483702733927224222.686948324117
Trimmed Mean ( 124 / 280 )10.77142857142860.0482629793240176223.182006629008
Trimmed Mean ( 125 / 280 )10.77664974619290.0481531871681137223.799303430719
Trimmed Mean ( 126 / 280 )10.77664974619290.0480408385505472224.322681937661
Trimmed Mean ( 127 / 280 )10.78194207836460.047925873299374224.971217759852
Trimmed Mean ( 128 / 280 )10.78194207836460.0478082293714935225.524814872008
Trimmed Mean ( 129 / 280 )10.78730703259010.0476878427750552226.206647330936
Trimmed Mean ( 130 / 280 )10.79001721170400.0475646474876896226.849514957439
Trimmed Mean ( 131 / 280 )10.79274611398960.0474385753702795227.509912128418
Trimmed Mean ( 132 / 280 )10.79549393414210.0473095560759689228.188442876253
Trimmed Mean ( 133 / 280 )10.79826086956520.0471775169540781228.885739791606
Trimmed Mean ( 134 / 280 )10.80104712041880.0470423829485683229.602465764281
Trimmed Mean ( 135 / 280 )10.80385288966730.0469040764906668230.339315854925
Trimmed Mean ( 136 / 280 )10.8049209138840.0469148371794728230.309248917347
Trimmed Mean ( 137 / 280 )10.80599647266310.0469251198233155230.281702281216
Trimmed Mean ( 138 / 280 )10.80707964601770.0469349133367299230.256729536995
Trimmed Mean ( 139 / 280 )10.80817051509770.0469442063691485230.234385689834
Trimmed Mean ( 140 / 280 )10.80926916221030.0469529872974977230.214727206215
Trimmed Mean ( 141 / 280 )10.81037567084080.0469612442185483230.197812062463
Trimmed Mean ( 142 / 280 )10.81149012567320.0469689649410126230.183699795199
Trimmed Mean ( 143 / 280 )10.81261261261260.0469761369773772230.172451553855
Trimmed Mean ( 144 / 280 )10.81374321880650.0469827475354615230.16413015532
Trimmed Mean ( 145 / 280 )10.81488203266790.0469887835096907230.158800140835
Trimmed Mean ( 146 / 280 )10.8160291438980.0469942314720722230.156527835246
Trimmed Mean ( 147 / 280 )10.81718464351010.0469990776628633230.157381408728
Trimmed Mean ( 148 / 280 )10.81834862385320.0470033079809181230.161430941097
Trimmed Mean ( 149 / 280 )10.81952117863720.0470069079737002230.168748488852
Trimmed Mean ( 150 / 280 )10.82070240295750.0470098628269474230.179408155064
Trimmed Mean ( 151 / 280 )10.82189239332100.0470121573539748230.193486162277
Trimmed Mean ( 152 / 280 )10.82309124767230.0470137759846004230.211060928554
Trimmed Mean ( 153 / 280 )10.82429906542060.0470147027536785230.232213146847
Trimmed Mean ( 154 / 280 )10.82551594746720.0470149212892225230.257025867844
Trimmed Mean ( 155 / 280 )10.82674199623350.047014414800103230.285584586492
Trimmed Mean ( 156 / 280 )10.82797731569000.0470131660632991230.317977332372
Trimmed Mean ( 157 / 280 )10.82922201138520.0470111574106876230.354294764146
Trimmed Mean ( 158 / 280 )10.83047619047620.0470083707153466230.394630268273
Trimmed Mean ( 159 / 280 )10.83173996175910.0470047873773556230.439080062242
Trimmed Mean ( 160 / 280 )10.83301343570060.0470003883090674230.487743302551
Trimmed Mean ( 161 / 280 )10.83429672447010.0469951539198304230.540722197708
Trimmed Mean ( 162 / 280 )10.83558994197290.0469890641001349230.598122126501
Trimmed Mean ( 163 / 280 )10.83689320388350.0469820982051604230.660051761869
Trimmed Mean ( 164 / 280 )10.83820662768030.0469742350376931230.726623200644
Trimmed Mean ( 165 / 280 )10.83953033268100.0469654528303891230.797952099533
Trimmed Mean ( 166 / 280 )10.84086444007860.046955729227349230.874157817667
Trimmed Mean ( 167 / 280 )10.84220907297830.0469450412649764230.955363566103
Trimmed Mean ( 168 / 280 )10.84356435643560.046933365352083231.041696564689
Trimmed Mean ( 169 / 280 )10.84493041749500.0469206772492078231.133288206707
Trimmed Mean ( 170 / 280 )10.84630738522950.0469069520471113231.230274231760
Trimmed Mean ( 171 / 280 )10.84769539078160.046892164144407231.332794907386
Trimmed Mean ( 172 / 280 )10.84909456740440.0468762872242866231.440995219935
Trimmed Mean ( 173 / 280 )10.85050505050510.0468592942302971231.555025075252
Trimmed Mean ( 174 / 280 )10.85192697768760.0468411573411219231.675039509767
Trimmed Mean ( 175 / 280 )10.85336048879840.0468218479443171231.801198912647
Trimmed Mean ( 176 / 280 )10.85480572597140.0468013366089508231.933669259680
Trimmed Mean ( 177 / 280 )10.85626283367560.0467795930570917232.072622359629
Trimmed Mean ( 178 / 280 )10.85773195876290.046756586134086232.218236113853
Trimmed Mean ( 179 / 280 )10.85921325051760.0467322837775626232.370694790041
Trimmed Mean ( 180 / 280 )10.86070686070690.0467066529851014232.530189310958
Trimmed Mean ( 181 / 280 )10.86221294363260.0466796597804927232.696917559195
Trimmed Mean ( 182 / 280 )10.86373165618450.0466512691785159232.871084698967
Trimmed Mean ( 183 / 280 )10.86526315789470.0466214451481579233.052903516099
Trimmed Mean ( 184 / 280 )10.86680761099370.0465901505741879233.242594777407
Trimmed Mean ( 185 / 280 )10.86836518046710.0465573472169987233.440387610807
Trimmed Mean ( 186 / 280 )10.86993603411510.046522995670622233.646519907556
Trimmed Mean ( 187 / 280 )10.87152034261240.0464870553188143233.861238748166
Trimmed Mean ( 188 / 280 )10.87311827956990.0464494842891077234.084800853637
Trimmed Mean ( 189 / 280 )10.87473002159830.0464102394047098234.317473063815
Trimmed Mean ( 190 / 280 )10.87635574837310.0463692761341319234.559532844791
Trimmed Mean ( 191 / 280 )10.87799564270150.0463265485384127234.811268827458
Trimmed Mean ( 192 / 280 )10.87964989059080.0462820092158235.072981379483
Trimmed Mean ( 193 / 280 )10.88131868131870.0462356092437393235.344983213174
Trimmed Mean ( 194 / 280 )10.88300220750550.0461872981180107235.627600031917
Trimmed Mean ( 195 / 280 )10.88470066518850.0461370236888418235.921171218093
Trimmed Mean ( 196 / 280 )10.88641425389760.0460847320938143236.226050565644
Trimmed Mean ( 197 / 280 )10.88814317673380.0460303676873664236.542607060733
Trimmed Mean ( 198 / 280 )10.88988764044940.0459738729666791236.871225714271
Trimmed Mean ( 199 / 280 )10.89164785553050.0459151884937215237.212308450390
Trimmed Mean ( 200 / 280 )10.89342403628120.045854252813208237.566275055373
Trimmed Mean ( 201 / 280 )10.89521640091120.045791002366206237.933564191901
Trimmed Mean ( 202 / 280 )10.89702517162470.0457253713991105238.314634484012
Trimmed Mean ( 203 / 280 )10.89885057471260.0456572918676796238.709965678622
Trimmed Mean ( 204 / 280 )10.89838337182450.0457505240421797238.213301377198
Trimmed Mean ( 205 / 280 )10.89791183294660.0458443052282007237.715715805916
Trimmed Mean ( 206 / 280 )10.89743589743590.0459386404713954237.217205072088
Trimmed Mean ( 207 / 280 )10.89695550351290.0460335348745953236.717765281298
Trimmed Mean ( 208 / 280 )10.89647058823530.0461289935984031236.217392538399
Trimmed Mean ( 209 / 280 )10.89598108747040.0462250218617824235.716082948550
Trimmed Mean ( 210 / 280 )10.89548693586700.0463216249426434235.213832618308
Trimmed Mean ( 211 / 280 )10.89548693586700.0464188081784251234.721384788398
Trimmed Mean ( 212 / 280 )10.89448441247000.0465165769666711234.206494176815
Trimmed Mean ( 213 / 280 )10.89397590361450.0466149367656233.701398296303
Trimmed Mean ( 214 / 280 )10.89346246973370.0467138930946687233.195346139474
Trimmed Mean ( 215 / 280 )10.89294403892940.0468134515351276232.688333838312
Trimmed Mean ( 216 / 280 )10.89242053789730.0469136177305662232.180357534023
Trimmed Mean ( 217 / 280 )10.89189189189190.0470143973874484231.671413378569
Trimmed Mean ( 218 / 280 )10.89189189189190.0471157962756369231.172828496246
Trimmed Mean ( 219 / 280 )10.89081885856080.0472178202289039230.65060618563
Trimmed Mean ( 220 / 280 )10.89027431421450.0473204751454273230.13873552085
Trimmed Mean ( 221 / 280 )10.88972431077690.0474237669882718229.625881753974
Trimmed Mean ( 222 / 280 )10.88972431077690.0475277017858517229.123729984744
Trimmed Mean ( 223 / 280 )10.88860759493670.0476322856323747228.597209862546
Trimmed Mean ( 224 / 280 )10.88804071246820.0477375246882647228.081384268858
Trimmed Mean ( 225 / 280 )10.88746803069050.0478434251805612227.564560639235
Trimmed Mean ( 226 / 280 )10.88746803069050.0479499934032941227.058801429211
Trimmed Mean ( 227 / 280 )10.88630490956070.0480572357178301226.527904631887
Trimmed Mean ( 228 / 280 )10.88571428571430.0481651585531900226.008065014318
Trimmed Mean ( 229 / 280 )10.88511749347260.0482737684063333225.487212886502
Trimmed Mean ( 230 / 280 )10.88451443569550.0483830718424079224.965344721151
Trimmed Mean ( 231 / 280 )10.88390501319260.0484930754949614224.442457033345
Trimmed Mean ( 232 / 280 )10.88328912466840.0486037860661111223.918546383711
Trimmed Mean ( 233 / 280 )10.88328912466840.0487152103266702223.406386869485
Trimmed Mean ( 234 / 280 )10.88203753351210.0488273551162258222.867642689413
Trimmed Mean ( 235 / 280 )10.88140161725070.0489402273431642222.340643024629
Trimmed Mean ( 236 / 280 )10.88075880758810.049053833984642221.812607165317
Trimmed Mean ( 237 / 280 )10.88075880758810.0491681820864957221.296748137787
Trimmed Mean ( 238 / 280 )10.87945205479450.0492832787630877220.753414298868
Trimmed Mean ( 239 / 280 )10.87878787878790.0493991311970823220.222251184661
Trimmed Mean ( 240 / 280 )10.87811634349030.0495157466391468219.690039670939
Trimmed Mean ( 241 / 280 )10.87811634349030.049633132407573219.170457632260
Trimmed Mean ( 242 / 280 )10.87675070028010.0497512958878122218.622460102484
Trimmed Mean ( 243 / 280 )10.87605633802820.0498702445319177218.087086600655
Trimmed Mean ( 244 / 280 )10.87535410764870.0499899858578881217.550653816252
Trimmed Mean ( 245 / 280 )10.87464387464390.0501105274489045217.013159275409
Trimmed Mean ( 246 / 280 )10.87392550143270.0502318769524535216.474600615169
Trimmed Mean ( 247 / 280 )10.87319884726220.050354042079328215.934975590094
Trimmed Mean ( 248 / 280 )10.87319884726220.0504770306024969215.408844725593
Trimmed Mean ( 249 / 280 )10.87172011661810.0506008503558352214.852518093391
Trimmed Mean ( 250 / 280 )10.87096774193550.050725509232703214.309681782887
Trimmed Mean ( 251 / 280 )10.87020648967550.0508510151843642213.765771445560
Trimmed Mean ( 252 / 280 )10.87020648967550.0509773762182329213.235895922545
Trimmed Mean ( 253 / 280 )10.86865671641790.0511046003959358212.674722671
Trimmed Mean ( 254 / 280 )10.86786786786790.0512326958311764212.127581645909
Trimmed Mean ( 255 / 280 )10.86706948640480.0513616706873891211.579361437576
Trimmed Mean ( 256 / 280 )10.86706948640480.0514915331751668211.045754831899
Trimmed Mean ( 257 / 280 )10.86544342507650.0516222915494468210.479680365776
Trimmed Mean ( 258 / 280 )10.86461538461540.0517539541064376209.928218475271
Trimmed Mean ( 259 / 280 )10.86377708978330.0518865291802701209.375675371137
Trimmed Mean ( 260 / 280 )10.86292834890970.0520200251393508208.822051119932
Trimmed Mean ( 261 / 280 )10.86206896551720.0521544503823993208.267346043836
Trimmed Mean ( 262 / 280 )10.86119873817030.0522898133341466207.711560734865
Trimmed Mean ( 263 / 280 )10.86031746031750.0524261224406695207.154696069847
Trimmed Mean ( 264 / 280 )10.85942492012780.0525633861643375206.596753226213
Trimmed Mean ( 265 / 280 )10.85852090032150.0527016129783436206.037733698655
Trimmed Mean ( 266 / 280 )10.85760517799350.0528408113607903205.477639316686
Trimmed Mean ( 267 / 280 )10.85667752443000.052980989788299204.916472263183
Trimmed Mean ( 268 / 280 )10.85573770491800.05312215672911204.354235093947
Trimmed Mean ( 269 / 280 )10.85478547854790.053264320635636203.790930758358
Trimmed Mean ( 270 / 280 )10.85382059800660.0534074899364311203.226562621189
Trimmed Mean ( 271 / 280 )10.85284280936450.0535516730275343202.661134485647
Trimmed Mean ( 272 / 280 )10.85185185185190.053696878263141202.094650617722
Trimmed Mean ( 273 / 280 )10.85084745762710.0538431139455571201.527115771923
Trimmed Mean ( 274 / 280 )10.84982935153580.053990388314382200.958535218493
Trimmed Mean ( 275 / 280 )10.84879725085910.0541387095348673200.388914772194
Trimmed Mean ( 276 / 280 )10.84775086505190.0542880856853898199.818260822766
Trimmed Mean ( 277 / 280 )10.84668989547040.054438524743976199.246580367162
Trimmed Mean ( 278 / 280 )10.84561403508770.0545900345738094198.673881043686
Trimmed Mean ( 279 / 280 )10.84452296819790.0547426229076452198.100171168148
Trimmed Mean ( 280 / 280 )10.84341637010680.054896297331055197.525459772177
Median10
Midrange14.5
Midmean - Weighted Average at Xnp11.1194852941176
Midmean - Weighted Average at X(n+1)p11.1194852941176
Midmean - Empirical Distribution Function11.1194852941176
Midmean - Empirical Distribution Function - Averaging11.1194852941176
Midmean - Empirical Distribution Function - Interpolation11.1194852941176
Midmean - Closest Observation11.1194852941176
Midmean - True Basic - Statistics Graphics Toolkit11.1194852941176
Midmean - MS Excel (old versions)11.1194852941176
Number of observations841
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250614078kfllhotobzo7ksx/1gful1250613921.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250614078kfllhotobzo7ksx/1gful1250613921.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250614078kfllhotobzo7ksx/29j4a1250613921.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250614078kfllhotobzo7ksx/29j4a1250613921.ps (open in new window)


 
Parameters (Session):
 
Parameters (R input):
 
R code (references can be found in the software module):
geomean <- function(x) {
return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {
return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}
return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
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]
}
}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)
for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}
midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)
(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))
(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]
ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('http://www.xycoon.com/winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)
}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_8.htm','MS Excel (old versions)',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
 





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