Home » date » 2009 » Aug » 19 »

thomas van den bosch opgave 5 vraag 1 stap 6

*Unverified author*
R Software Module: rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Wed, 19 Aug 2009 07:35:26 -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/19/t1250688999nkzpq1w2ec5d6qp.htm/, Retrieved Wed, 19 Aug 2009 15:36:41 +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/19/t1250688999nkzpq1w2ec5d6qp.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 «
8 10 10 13 14 12 11 8 8 10 10 12 12 12 11 12 12 12 12 12 12 10 12 10 11 10 10 12 10 12 7 12 18 12 11 13 10 10 10 8 12 10 10 8 14 9 8 12 15 14 1 9 7 8 12 57 12 10 10 8 8 16 14 13 10 12 9 12 11 10 8 8 9 12 8 12 10 12 9 8 12 8 12 10 12 9 28 10 12 9 14 12 12 13 13 14 12 12 10 11 12 14 10 12 12 6 12 10 12 12 12 9 12 12 13 8 12 10 10 10 9 12 9 10 8 12 10 8 8 9 12 12 10 10 9 11 10 9 15 10 8 10 8 9 9 6 16 12 12 12 12 10 12 8 9 12 12 8 14 10 12 8 11 10 12 12 12 12 8 10 7 10 10 12 11 9 10 12 14 13 10 11 10 10 8 10 10 10 8 8 4 14 8 12 12 10 8 12 12 10 10 12 12 9 11 14 10 8 12 8 10 11 12 10 10 12 8 9 12 8 8 10 10 10 14 10 12 12 13 9 12 12 10 12 6 8 12 10 9 11 11 9 10 15 12 7 7 10 9 10 10 9 12 10 9 12 10 7 12 10 10 12 8 12 10 10 9 8 8 12 12 10 12 10 9 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework
error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean10.99881516587680.15484306486926771.0320166754839
Geometric Mean10.5772833452753
Harmonic Mean10.1223083169148
Quadratic Mean11.8821723164304
Winsorized Mean ( 1 / 281 )10.97748815165880.14330079601627876.6045162122601
Winsorized Mean ( 2 / 281 )10.94905213270140.12900474411786884.8732518138834
Winsorized Mean ( 3 / 281 )10.93127962085310.11830452614974192.3995047071749
Winsorized Mean ( 4 / 281 )10.83175355450240.0834781901285182129.755491078885
Winsorized Mean ( 5 / 281 )10.78436018957350.0740628727320443145.610881562625
Winsorized Mean ( 6 / 281 )10.77725118483410.0715471447429711150.631464379896
Winsorized Mean ( 7 / 281 )10.77725118483410.0715471447429711150.631464379896
Winsorized Mean ( 8 / 281 )10.76777251184830.070481958477328152.773457839030
Winsorized Mean ( 9 / 281 )10.76777251184830.070481958477328152.773457839030
Winsorized Mean ( 10 / 281 )10.75592417061610.0693282579561743155.144878693122
Winsorized Mean ( 11 / 281 )10.75592417061610.0693282579561743155.144878693122
Winsorized Mean ( 12 / 281 )10.75592417061610.0693282579561743155.144878693122
Winsorized Mean ( 13 / 281 )10.7713270142180.0681953223744833157.948179423056
Winsorized Mean ( 14 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 15 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 16 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 17 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 18 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 19 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 20 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 21 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 22 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 23 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 24 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 25 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 26 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 27 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 28 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 29 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 30 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 31 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 32 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 33 / 281 )10.75473933649290.0668145476322154160.964037288600
Winsorized Mean ( 34 / 281 )10.71445497630330.0640648880887979167.243794470575
Winsorized Mean ( 35 / 281 )10.71445497630330.0640648880887979167.243794470575
Winsorized Mean ( 36 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 37 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 38 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 39 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 40 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 41 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 42 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 43 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 44 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 45 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 46 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 47 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 48 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 49 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 50 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 51 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 52 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 53 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 54 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 55 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 56 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 57 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 58 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 59 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 60 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 61 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 62 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 63 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 64 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 65 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 66 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 67 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 68 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 69 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 70 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 71 / 281 )10.75710900473930.0614561823446361175.037052324781
Winsorized Mean ( 72 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 73 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 74 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 75 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 76 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 77 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 78 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 79 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 80 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 81 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 82 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 83 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 84 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 85 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 86 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 87 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 88 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 89 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 90 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 91 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 92 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 93 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 94 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 95 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 96 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 97 / 281 )10.67180094786730.056684137559511188.267854241644
Winsorized Mean ( 98 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 99 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 100 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 101 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 102 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 103 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 104 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 105 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 106 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 107 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 108 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 109 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 110 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 111 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 112 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 113 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 114 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 115 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 116 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 117 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 118 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 119 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 120 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 121 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 122 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 123 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 124 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 125 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 126 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 127 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 128 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 129 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 130 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 131 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 132 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 133 / 281 )10.55568720379150.0518986558953751203.390377297462
Winsorized Mean ( 134 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 135 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 136 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 137 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 138 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 139 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 140 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 141 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 142 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 143 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 144 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 145 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 146 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 147 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 148 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 149 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 150 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 151 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 152 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 153 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 154 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 155 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 156 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 157 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 158 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 159 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 160 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 161 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 162 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 163 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 164 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 165 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 166 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 167 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 168 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 169 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 170 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 171 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 172 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 173 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 174 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 175 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 176 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 177 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 178 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 179 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 180 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 181 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 182 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 183 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 184 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 185 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 186 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 187 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 188 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 189 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 190 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 191 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 192 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 193 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 194 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 195 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 196 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 197 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 198 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 199 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 200 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 201 / 281 )10.71445497630330.0434654613371087246.505032885866
Winsorized Mean ( 202 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 203 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 204 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 205 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 206 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 207 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 208 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 209 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 210 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 211 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 212 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 213 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 214 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 215 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 216 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 217 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 218 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 219 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 220 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 221 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 222 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 223 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 224 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 225 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 226 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 227 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 228 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 229 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 230 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 231 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 232 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 233 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 234 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 235 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 236 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 237 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 238 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 239 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 240 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 241 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 242 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 243 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 244 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 245 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 246 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 247 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 248 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 249 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 250 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 251 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 252 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 253 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 254 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 255 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 256 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 257 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 258 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 259 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 260 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 261 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 262 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 263 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 264 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 265 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 266 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 267 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 268 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 269 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 270 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 271 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 272 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 273 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 274 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 275 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 276 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 277 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 278 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 279 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 280 / 281 )10.95379146919430.0336407986274296325.610327819714
Winsorized Mean ( 281 / 281 )10.95379146919430.0336407986274296325.610327819714
Trimmed Mean ( 1 / 281 )10.91923990498810.12477442322557687.5118443564955
Trimmed Mean ( 2 / 281 )10.86071428571430.102695823771403105.756143598301
Trimmed Mean ( 3 / 281 )10.81622911694510.0862987182731426125.334759697251
Trimmed Mean ( 4 / 281 )10.77751196172250.0722172810353772149.237298984476
Trimmed Mean ( 5 / 281 )10.76378896882490.0690301898641794155.928717420643
Trimmed Mean ( 6 / 281 )10.75961538461540.0679460216665366158.355340323251
Trimmed Mean ( 7 / 281 )10.75662650602410.0673039947745444159.821516420485
Trimmed Mean ( 8 / 281 )10.75362318840580.0666489112314646161.347319704288
Trimmed Mean ( 9 / 281 )10.75181598062950.066130231641153162.585487965215
Trimmed Mean ( 10 / 281 )10.750.0656018860310966163.867239958685
Trimmed Mean ( 11 / 281 )10.74939172749390.0651944241997836164.882071732901
Trimmed Mean ( 12 / 281 )10.74878048780490.0647799766005426165.927514208377
Trimmed Mean ( 13 / 281 )10.74816625916870.0643583576585674167.004980397257
Trimmed Mean ( 14 / 281 )10.74632352941180.0640291872016801167.834764098486
Trimmed Mean ( 15 / 281 )10.74570024570020.0638072947286236168.408648124049
Trimmed Mean ( 16 / 281 )10.74507389162560.0635820269680762168.995459943745
Trimmed Mean ( 17 / 281 )10.74444444444440.0633533173135526169.595609197026
Trimmed Mean ( 18 / 281 )10.74381188118810.0631210972203326170.209523508209
Trimmed Mean ( 19 / 281 )10.74317617866010.0628852961257013170.837649506898
Trimmed Mean ( 20 / 281 )10.74253731343280.0626458413648402171.480453919836
Trimmed Mean ( 21 / 281 )10.74189526184540.0624026580820684172.138424740149
Trimmed Mean ( 22 / 281 )10.741250.0621556691371137172.812072480550
Trimmed Mean ( 23 / 281 )10.74060150375940.0619047950060628173.501931517704
Trimmed Mean ( 24 / 281 )10.73994974874370.0616499536766116174.208561535678
Trimmed Mean ( 25 / 281 )10.73929471032750.0613910605372051174.932549077224
Trimmed Mean ( 26 / 281 )10.73863636363640.0611280282596173175.674509212504
Trimmed Mean ( 27 / 281 )10.73863636363640.0608607666744851176.445959366108
Trimmed Mean ( 28 / 281 )10.73730964467010.0605891826392655177.214961102836
Trimmed Mean ( 29 / 281 )10.73664122137400.060313179898036178.014842519084
Trimmed Mean ( 30 / 281 )10.73596938775510.0600326589325058178.835480197961
Trimmed Mean ( 31 / 281 )10.73596938775510.059747516803546179.688963861974
Trimmed Mean ( 32 / 281 )10.73461538461540.0594576469824813180.542216676994
Trimmed Mean ( 33 / 281 )10.73393316195370.059162939171311181.430018729678
Trimmed Mean ( 34 / 281 )10.73324742268040.0588632791109488182.341989518623
Trimmed Mean ( 35 / 281 )10.73385012919900.0586659629467116182.965549188188
Trimmed Mean ( 36 / 281 )10.73445595854920.0584655153636324183.603204244163
Trimmed Mean ( 37 / 281 )10.73376623376620.0583555530682193183.937357619045
Trimmed Mean ( 38 / 281 )10.73307291666670.058243822973976184.278304009377
Trimmed Mean ( 39 / 281 )10.73237597911230.0581302947902873184.626209411646
Trimmed Mean ( 40 / 281 )10.73167539267020.0580149375296493184.981245341954
Trimmed Mean ( 41 / 281 )10.73097112860890.0578977194861408185.343589071373
Trimmed Mean ( 42 / 281 )10.73026315789470.0577786082130309185.713423873625
Trimmed Mean ( 43 / 281 )10.72955145118730.057657570499479186.090939285836
Trimmed Mean ( 44 / 281 )10.72883597883600.0575345723462816186.476331383201
Trimmed Mean ( 45 / 281 )10.72811671087530.0574095789406172186.869803068442
Trimmed Mean ( 46 / 281 )10.72739361702130.0572825546297368187.271564376991
Trimmed Mean ( 47 / 281 )10.72666666666670.0571534628935459187.681832798936
Trimmed Mean ( 48 / 281 )10.7259358288770.0570222663160194188.100833618810
Trimmed Mean ( 49 / 281 )10.72520107238610.0568889265553861188.528800274412
Trimmed Mean ( 50 / 281 )10.72446236559140.0567534043130185188.965974735922
Trimmed Mean ( 51 / 281 )10.72371967654990.0566156593009554189.412607906677
Trimmed Mean ( 52 / 281 )10.72297297297300.0564756502079839189.868960047087
Trimmed Mean ( 53 / 281 )10.72222222222220.0563333346641991190.335301223281
Trimmed Mean ( 54 / 281 )10.72222222222220.0561886692039576190.825345645791
Trimmed Mean ( 55 / 281 )10.72070844686650.0560416092271319191.299082854962
Trimmed Mean ( 56 / 281 )10.71994535519130.0558921089585694191.797116890643
Trimmed Mean ( 57 / 281 )10.71917808219180.0557401214056508192.306328222405
Trimmed Mean ( 58 / 281 )10.71840659340660.0555855983138371192.827043668583
Trimmed Mean ( 59 / 281 )10.71763085399450.055428490120084193.359603171133
Trimmed Mean ( 60 / 281 )10.71685082872930.0552687459039977193.904360474264
Trimmed Mean ( 61 / 281 )10.71606648199450.0551063133365926194.461683846279
Trimmed Mean ( 62 / 281 )10.71606648199450.0549411386265048195.046312287835
Trimmed Mean ( 63 / 281 )10.71527777777780.0547731664635011195.630058833974
Trimmed Mean ( 64 / 281 )10.7136871508380.0546023399591153196.212967408725
Trimmed Mean ( 65 / 281 )10.71288515406160.0544286005842254196.824556190527
Trimmed Mean ( 66 / 281 )10.71207865168540.0542518881033767197.450798970786
Trimmed Mean ( 67 / 281 )10.71126760563380.0540721405056354198.092169192331
Trimmed Mean ( 68 / 281 )10.71045197740110.0538892939317445198.749161400535
Trimmed Mean ( 69 / 281 )10.70963172804530.0537032825973313199.422292457361
Trimmed Mean ( 70 / 281 )10.70880681818180.0535140387119010200.112102841535
Trimmed Mean ( 71 / 281 )10.70797720797720.0533214923933216200.819158042140
Trimmed Mean ( 72 / 281 )10.70714285714290.0531255715774887201.544050053663
Trimmed Mean ( 73 / 281 )10.70773638968480.0530345608099466201.901104226295
Trimmed Mean ( 74 / 281 )10.70833333333330.0529418920303303202.265784668190
Trimmed Mean ( 75 / 281 )10.70893371757930.0528475349274542202.638282604473
Trimmed Mean ( 76 / 281 )10.70953757225430.052751458462209203.018795772758
Trimmed Mean ( 77 / 281 )10.71014492753620.0526536308444136203.407528707444
Trimmed Mean ( 78 / 281 )10.71075581395350.0525540195087177203.80469303926
Trimmed Mean ( 79 / 281 )10.71137026239070.0524525910895072204.210507810994
Trimmed Mean ( 80 / 281 )10.71198830409360.0523493113947587204.625199810480
Trimmed Mean ( 81 / 281 )10.71260997067450.0522441453787909205.049003921948
Trimmed Mean ( 82 / 281 )10.71323529411760.0521370571138521205.482163496936
Trimmed Mean ( 83 / 281 )10.71386430678470.0520280097604847205.924930746089
Trimmed Mean ( 84 / 281 )10.71449704142010.0519169655365984206.377567153208
Trimmed Mean ( 85 / 281 )10.71513353115730.0518038856851824206.840343913085
Trimmed Mean ( 86 / 281 )10.71577380952380.0516887304405836207.313542394732
Trimmed Mean ( 87 / 281 )10.71641791044780.051571458993268207.797454631769
Trimmed Mean ( 88 / 281 )10.71706586826350.051452029452983208.292383841861
Trimmed Mean ( 89 / 281 )10.71771771771770.0513303988102279208.798644977255
Trimmed Mean ( 90 / 281 )10.71837349397590.051206522895936209.316565308647
Trimmed Mean ( 91 / 281 )10.71903323262840.0510803563392644209.846485044759
Trimmed Mean ( 92 / 281 )10.71969696969700.0509518525233804210.388757990261
Trimmed Mean ( 93 / 281 )10.72036474164130.0508209635391252210.943752244841
Trimmed Mean ( 94 / 281 )10.72103658536590.0506876401364274211.5118509465
Trimmed Mean ( 95 / 281 )10.72171253822630.0505518316733285212.093453062417
Trimmed Mean ( 96 / 281 )10.72239263803680.0504134860624753212.688974231002
Trimmed Mean ( 97 / 281 )10.72307692307690.0502725497149193213.298847659096
Trimmed Mean ( 98 / 281 )10.72376543209880.0501289674810534213.923525078626
Trimmed Mean ( 99 / 281 )10.72600619195050.0500678277543729214.229509707732
Trimmed Mean ( 100 / 281 )10.72826086956520.050005207561225214.542872488427
Trimmed Mean ( 101 / 281 )10.73052959501560.0499410770546632214.863800059226
Trimmed Mean ( 102 / 281 )10.73281250.0498754056363696215.192485415568
Trimmed Mean ( 103 / 281 )10.73510971786830.0498081619323893215.529128186670
Trimmed Mean ( 104 / 281 )10.73742138364780.0497393137678728215.873934927169
Trimmed Mean ( 105 / 281 )10.73974763406940.0496688281407754216.227119424480
Trimmed Mean ( 106 / 281 )10.74208860759490.0495966711944615216.588903022881
Trimmed Mean ( 107 / 281 )10.74444444444440.0495228081891557216.959514965414
Trimmed Mean ( 108 / 281 )10.74444444444440.0494472034721829217.291245813100
Trimmed Mean ( 109 / 281 )10.74920127795530.0493698204469314217.728182534304
Trimmed Mean ( 110 / 281 )10.75160256410260.0492906215404721218.126739490889
Trimmed Mean ( 111 / 281 )10.75401929260450.0492095681697623218.535128280449
Trimmed Mean ( 112 / 281 )10.75645161290320.0491266207063556218.953623478353
Trimmed Mean ( 113 / 281 )10.75889967637540.0490417384395373219.382510055998
Trimmed Mean ( 114 / 281 )10.76136363636360.0489548795377976219.822083885527
Trimmed Mean ( 115 / 281 )10.76136363636360.048866001008549220.221900999858
Trimmed Mean ( 116 / 281 )10.76633986928100.0487750586559886220.734534533648
Trimmed Mean ( 117 / 281 )10.76633986928100.0486820070369996221.156450289700
Trimmed Mean ( 118 / 281 )10.77138157894740.0485867994149768221.693581562137
Trimmed Mean ( 119 / 281 )10.77392739273930.0484893877114562222.191450567519
Trimmed Mean ( 120 / 281 )10.77649006622520.0483897224554167222.702043314135
Trimmed Mean ( 121 / 281 )10.77906976744190.048287752730116223.225748932383
Trimmed Mean ( 122 / 281 )10.78166666666670.0481834261173088223.762972778592
Trimmed Mean ( 123 / 281 )10.78428093645480.0480766886386889224.314137304714
Trimmed Mean ( 124 / 281 )10.78428093645480.0479674846943803224.824816334768
Trimmed Mean ( 125 / 281 )10.78956228956230.0478557569982929225.460069306754
Trimmed Mean ( 126 / 281 )10.78956228956230.047741446510142225.999903192506
Trimmed Mean ( 127 / 281 )10.79491525423730.0476244923639173226.667303280613
Trimmed Mean ( 128 / 281 )10.79761904761900.0475048317925679227.295174831212
Trimmed Mean ( 129 / 281 )10.80034129692830.047382400048654227.939937315082
Trimmed Mean ( 130 / 281 )10.80308219178080.0472571303206932228.602162646561
Trimmed Mean ( 131 / 281 )10.80584192439860.0471289536449103229.282449294641
Trimmed Mean ( 132 / 281 )10.80862068965520.0469977988120726229.981423872105
Trimmed Mean ( 133 / 281 )10.81141868512110.0468635922690672230.699742841893
Trimmed Mean ( 134 / 281 )10.81423611111110.0467262580148498231.438094351024
Trimmed Mean ( 135 / 281 )10.81533101045300.0467366400731779231.410109787928
Trimmed Mean ( 136 / 281 )10.81643356643360.0467465479762857231.384648379185
Trimmed Mean ( 137 / 281 )10.81754385964910.0467559708188522231.361763432521
Trimmed Mean ( 138 / 281 )10.81866197183100.0467648974364952231.341509655234
Trimmed Mean ( 139 / 281 )10.81978798586570.0467733163985807231.323943200103
Trimmed Mean ( 140 / 281 )10.82092198581560.046781216000796231.309121713114
Trimmed Mean ( 141 / 281 )10.82206405693950.0467885842574775231.297104383106
Trimmed Mean ( 142 / 281 )10.82321428571430.0467954088936839231.287951993409
Trimmed Mean ( 143 / 281 )10.82437275985660.0468016773370045231.281726975588
Trimmed Mean ( 144 / 281 )10.82553956834530.0468073767090921231.278493465380
Trimmed Mean ( 145 / 281 )10.82671480144400.0468124938169101231.278317360933
Trimmed Mean ( 146 / 281 )10.82789855072460.0468170151436821231.281266383465
Trimmed Mean ( 147 / 281 )10.82909090909090.0468209268395314231.287410140454
Trimmed Mean ( 148 / 281 )10.83029197080290.0468242147117997231.296820191491
Trimmed Mean ( 149 / 281 )10.83150183150180.0468268642150296231.309570116919
Trimmed Mean ( 150 / 281 )10.83272058823530.0468288604405991231.325735589407
Trimmed Mean ( 151 / 281 )10.83394833948340.0468301881059927231.345394448608
Trimmed Mean ( 152 / 281 )10.83518518518520.0468308315436943231.368626779042
Trimmed Mean ( 153 / 281 )10.83643122676580.0468307746896861231.395514991393
Trimmed Mean ( 154 / 281 )10.83768656716420.0468300010715372231.426143907377
Trimmed Mean ( 155 / 281 )10.83895131086140.0468284937960639231.460600848376
Trimmed Mean ( 156 / 281 )10.84022556390980.0468262355365442231.498975728036
Trimmed Mean ( 157 / 281 )10.84150943396230.0468232085194667231.541361149032
Trimmed Mean ( 158 / 281 )10.84280303030300.046819394510794231.587852504228
Trimmed Mean ( 159 / 281 )10.84410646387830.0468147748017197231.638548082473
Trimmed Mean ( 160 / 281 )10.84541984732820.0468093301938967231.693549179269
Trimmed Mean ( 161 / 281 )10.84674329501920.0468030409841124231.752960212589
Trimmed Mean ( 162 / 281 )10.84807692307690.0467958869483883231.816888844128
Trimmed Mean ( 163 / 281 )10.84942084942080.0467878473254761231.885446106286
Trimmed Mean ( 164 / 281 )10.85077519379840.0467789007997239231.958746535201
Trimmed Mean ( 165 / 281 )10.85214007782100.0467690254832838232.036908310176
Trimmed Mean ( 166 / 281 )10.8535156250.0467581988976309232.120053399874
Trimmed Mean ( 167 / 281 )10.85490196078430.0467463979543607232.208307715648
Trimmed Mean ( 168 / 281 )10.85629921259840.046733598935233232.301801272440
Trimmed Mean ( 169 / 281 )10.85770750988140.0467197774714249232.400668357684
Trimmed Mean ( 170 / 281 )10.85912698412700.0467049085219573232.505047708675
Trimmed Mean ( 171 / 281 )10.86055776892430.0466889663512535232.615082698928
Trimmed Mean ( 172 / 281 )10.8620.0466719245057899232.730921534048
Trimmed Mean ( 173 / 281 )10.86345381526100.0466537557897929232.852717457697
Trimmed Mean ( 174 / 281 )10.86491935483870.0466344322399372232.980628968270
Trimmed Mean ( 175 / 281 )10.86639676113360.0466139250989934233.114820046945
Trimmed Mean ( 176 / 281 )10.86788617886180.0465922047883757233.255460397813
Trimmed Mean ( 177 / 281 )10.86938775510200.0465692408795319233.402725700847
Trimmed Mean ( 178 / 281 )10.87090163934430.0465450020641173233.556797878518
Trimmed Mean ( 179 / 281 )10.87242798353910.0465194561228916233.717865376954
Trimmed Mean ( 180 / 281 )10.87396694214880.0464925698932709233.886123462549
Trimmed Mean ( 181 / 281 )10.87551867219920.0464643092354656234.061774535067
Trimmed Mean ( 182 / 281 )10.87708333333330.04643463899713234.245028458294
Trimmed Mean ( 183 / 281 )10.87866108786610.0464035229764432234.436102909442
Trimmed Mean ( 184 / 281 )10.88025210084030.0463709238835384234.635223748535
Trimmed Mean ( 185 / 281 )10.88185654008440.0463368033001899234.842625409159
Trimmed Mean ( 186 / 281 )10.88347457627120.0463011216376633235.058551312029
Trimmed Mean ( 187 / 281 )10.88510638297870.0462638380926269235.283254302965
Trimmed Mean ( 188 / 281 )10.88675213675210.0462249106010152235.516997116984
Trimmed Mean ( 189 / 281 )10.88841201716740.0461842957897309235.760052870362
Trimmed Mean ( 190 / 281 )10.89008620689660.0461419489260594236.012705582668
Trimmed Mean ( 191 / 281 )10.89177489177490.0460978238646665236.275250730942
Trimmed Mean ( 192 / 281 )10.89347826086960.0460518729920367236.547995838372
Trimmed Mean ( 193 / 281 )10.89519650655020.0460040471682020236.831261100023
Trimmed Mean ( 194 / 281 )10.89692982456140.0459542956656001237.125380048388
Trimmed Mean ( 195 / 281 )10.89867841409690.0459025661048885237.430700261793
Trimmed Mean ( 196 / 281 )10.90044247787610.04584880438753237.747584118918
Trimmed Mean ( 197 / 281 )10.90222222222220.0457929546249501238.076409603022
Trimmed Mean ( 198 / 281 )10.90401785714290.0457349590640525238.417571159769
Trimmed Mean ( 199 / 281 )10.90582959641260.0456747580088639238.771480612905
Trimmed Mean ( 200 / 281 )10.90765765765770.0456122897380605239.138568142435
Trimmed Mean ( 201 / 281 )10.90950226244340.0455474904181109239.519283330384
Trimmed Mean ( 202 / 281 )10.91136363636360.0454802940117478239.914096279703
Trimmed Mean ( 203 / 281 )10.91095890410960.045572804864794239.418199877764
Trimmed Mean ( 204 / 281 )10.91055045871560.0456658627559807238.921369273521
Trimmed Mean ( 205 / 281 )10.91013824884790.0457594728127257238.423600147199
Trimmed Mean ( 206 / 281 )10.90972222222220.0458536402239745237.924888164453
Trimmed Mean ( 207 / 281 )10.90930232558140.0459483702409804237.425228976927
Trimmed Mean ( 208 / 281 )10.90887850467290.0460436681780887236.924618222842
Trimmed Mean ( 209 / 281 )10.90845070422540.0461395394135269236.423051527629
Trimmed Mean ( 210 / 281 )10.90801886792450.0462359893901989235.920524504593
Trimmed Mean ( 211 / 281 )10.90758293838860.0463330236164843235.417032755616
Trimmed Mean ( 212 / 281 )10.90714285714290.0464306476670403234.912571871908
Trimmed Mean ( 213 / 281 )10.90669856459330.0465288671836082234.407137434794
Trimmed Mean ( 214 / 281 )10.906250.0466276878758216233.900725016548
Trimmed Mean ( 215 / 281 )10.90579710144930.0467271155220181233.393330181282
Trimmed Mean ( 216 / 281 )10.90579710144930.0468271559700512232.894714093339
Trimmed Mean ( 217 / 281 )10.90487804878050.0469278151381045232.375575480946
Trimmed Mean ( 218 / 281 )10.90441176470590.0470290990155053231.865206711928
Trimmed Mean ( 219 / 281 )10.90394088669950.0471310136635382231.353837720131
Trimmed Mean ( 220 / 281 )10.90346534653470.0472335652162572230.841464043917
Trimmed Mean ( 221 / 281 )10.90298507462690.0473367598812952230.328081219921
Trimmed Mean ( 222 / 281 )10.90250.0474406039406713229.813684784337
Trimmed Mean ( 223 / 281 )10.90250.0475451037515927229.308575220740
Trimmed Mean ( 224 / 281 )10.90151515151520.0476502657472519228.781833229206
Trimmed Mean ( 225 / 281 )10.90101522842640.0477560964376175228.264369192446
Trimmed Mean ( 226 / 281 )10.90051020408160.0478626024102166227.745873712769
Trimmed Mean ( 227 / 281 )10.90051020408160.047969790330908227.236978291694
Trimmed Mean ( 228 / 281 )10.89948453608250.0480776669446454226.705770657126
Trimmed Mean ( 229 / 281 )10.89896373056990.0481862390762273226.184154221468
Trimmed Mean ( 230 / 281 )10.89896373056990.0482955136310334225.672384682261
Trimmed Mean ( 231 / 281 )10.89790575916230.0484054975957447225.137769477662
Trimmed Mean ( 232 / 281 )10.89736842105260.0485161980390462224.612992392403
Trimmed Mean ( 233 / 281 )10.89682539682540.048627622112309224.087153010657
Trimmed Mean ( 234 / 281 )10.89682539682540.0487397770502503223.571506812410
Trimmed Mean ( 235 / 281 )10.89572192513370.0488526701715689223.032270024715
Trimmed Mean ( 236 / 281 )10.89516129032260.0489663088795532222.503217817018
Trimmed Mean ( 237 / 281 )10.89459459459460.0490807006626582221.973086111288
Trimmed Mean ( 238 / 281 )10.89402173913040.0491958530950511221.441870681298
Trimmed Mean ( 239 / 281 )10.89344262295080.0493117738371184220.909567336453
Trimmed Mean ( 240 / 281 )10.89285714285710.0494284706359349220.376171925051
Trimmed Mean ( 241 / 281 )10.89285714285710.0495459513256881219.85362782225
Trimmed Mean ( 242 / 281 )10.89166666666670.0496642238280556219.30608851102
Trimmed Mean ( 243 / 281 )10.89106145251400.0497832961525305218.769392431247
Trimmed Mean ( 244 / 281 )10.89044943820220.0499031763966909218.231588138433
Trimmed Mean ( 245 / 281 )10.88983050847460.0500238727464079217.69267173055
Trimmed Mean ( 246 / 281 )10.88920454545450.0501453934759876217.152639367939
Trimmed Mean ( 247 / 281 )10.88857142857140.0502677469482415216.611487277974
Trimmed Mean ( 248 / 281 )10.88857142857140.0503909416144783216.081920275983
Trimmed Mean ( 249 / 281 )10.88728323699420.0505149860144127215.525809190324
Trimmed Mean ( 250 / 281 )10.88662790697670.0506398887759823214.981276028002
Trimmed Mean ( 251 / 281 )10.88596491228070.0507656586150666214.435608820209
Trimmed Mean ( 252 / 281 )10.88596491228070.0508923043351005213.901984877754
Trimmed Mean ( 253 / 281 )10.88461538461540.051019834826572213.340858934857
Trimmed Mean ( 254 / 281 )10.88392857142860.0511482590663984212.791769848892
Trimmed Mean ( 255 / 281 )10.88323353293410.0512775861171677212.241533914375
Trimmed Mean ( 256 / 281 )10.88253012048190.0514078251262384211.690148216901
Trimmed Mean ( 257 / 281 )10.88181818181820.0515389853246836211.137609971660
Trimmed Mean ( 258 / 281 )10.88109756097560.0516710760260705210.58391653167
Trimmed Mean ( 259 / 281 )10.88036809815950.05180410662506210.029065396452
Trimmed Mean ( 260 / 281 )10.87962962962960.051938086595815209.473054221183
Trimmed Mean ( 261 / 281 )10.87888198757760.0520730254902015208.915880826335
Trimmed Mean ( 262 / 281 )10.8781250.0522089329357682208.357543207849
Trimmed Mean ( 263 / 281 )10.87735849056600.0523458186334856207.798039547858
Trimmed Mean ( 264 / 281 )10.87658227848100.0524836923552306207.237368226000
Trimmed Mean ( 265 / 281 )10.87579617834390.0526225639409928206.675527831356
Trimmed Mean ( 266 / 281 )10.8750.0527624432957858206.112517175045
Trimmed Mean ( 267 / 281 )10.87419354838710.0529033403862394205.548335303522
Trimmed Mean ( 268 / 281 )10.87337662337660.0530452652368488204.982981512613
Trimmed Mean ( 269 / 281 )10.87254901960780.053188227925857204.416455362339
Trimmed Mean ( 270 / 281 )10.87171052631580.0533322385807415203.848756692572
Trimmed Mean ( 271 / 281 )10.87086092715230.0534773073732761203.279885639582
Trimmed Mean ( 272 / 281 )10.870.0536234445141373202.70984265351
Trimmed Mean ( 273 / 281 )10.86912751677850.0537706602470202202.138628516857
Trimmed Mean ( 274 / 281 )10.86824324324320.0539189648422281201.566244364014
Trimmed Mean ( 275 / 281 )10.86734693877550.0540683685896963200.992691701937
Trimmed Mean ( 276 / 281 )10.86643835616440.054218881791408200.417972432002
Trimmed Mean ( 277 / 281 )10.86551724137930.0543705147531568199.842088873151
Trimmed Mean ( 278 / 281 )10.86458333333330.0545232777756075199.265043786379
Trimmed Mean ( 279 / 281 )10.86363636363640.0546771811446009198.686840400680
Trimmed Mean ( 280 / 281 )10.86267605633800.0548322351206484198.107482440515
Trimmed Mean ( 281 / 281 )10.86170212765960.0549884499275533197.526974154932
Median10
Midrange44.5
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 observations844
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/19/t1250688999nkzpq1w2ec5d6qp/1e2xk1250688914.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/19/t1250688999nkzpq1w2ec5d6qp/1e2xk1250688914.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/19/t1250688999nkzpq1w2ec5d6qp/2ad7x1250688914.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/19/t1250688999nkzpq1w2ec5d6qp/2ad7x1250688914.ps (open in new window)


 
Parameters (Session):
par1 = 0 ;
 
Parameters (R input):
par1 = 0 ;
 
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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