Home » date » 2008 » Apr » 21 » attachments

Jan-PIeter Onzea centrummaten

R Software Module: rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Mon, 21 Apr 2008 10:49:56 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Apr/21/t12087967593jo3ebels8rmt5r.htm/, Retrieved Mon, 21 Apr 2008 18:52:41 +0200
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
20 25 15 15 25 25 25 21 30 25 20 40 13 30 25 20 25 20 25 20 20 15 15 12 20 5 20 15 25 22 20 22 25 20 20 35 30 25 20 20 20 25 25 15 20 35 25 25 30 23 10 22 25 25 22 30 20 25 25 22 25 25 25 22 25 12 18 20 20 22 30 25 22 20 50 30 25 20 30 22 25 30 22 25 22 22 25 25 25 20 22 15 20 30 20 25 30 35 22 12 30 15 10 30 9 25 20 20 35 25 35 30 12 25 15 25 25 20 20 6 15 40 20 40 25 25 20 15 15 22 24 22 20 25 25 25 35 40 20 22 22 20 25 25 18 25 20 25 30 20 22 35 22 25 25 25 25 22 23 35 15 25 18 22 25 25 28 30 20 25 25 30 22 30 10 10 25 20 22 25 25 15 22 25 25 28 22 30 25 20 25 25 20 30 20 30 50 19 20 28 20 25 35 25 25 15 16 20 20 25 30 20 25 25 25 20 20 25 25 30 22 20 25 25 18 18 20 25 25 30 25 20 25 20 20 20 22 18 22 20 15 25 25 20 25 15 22 25 25 15 12 25 30 22 15 22 25 12 18 30 25 25 40 24 25 15 25 20 25 25 25 20 30 20 25 30 22 25 25 25 50 19 50 25 35 20 20 20 20 20 25 25 25 20 20 20 20 25 18 25 22 22 30 30 8 20 25 30 50 22 20 10 25 25 25 25 18 25 20 25 30 18 20 25 22 22 20 20 25 20 20 20 20 25 20 10 20 25 30 25 50 30 30 50 15 25 25 22 20 22 30 25 18 22 22 30 40 25 20 10 20 9 15 20 15 20 30 12 15 12 20 15 12 25 20 25 25 25 30 20 25 15 15 22 10 15 10 20 25 20 20 38 20 20 20 40 25 25 30 25 10 20 25 12 15 25 20 22 22 20 25 25 25 15 40 20 20 16 25 15 20 25 20 30 50 20 25 20 30 30 25 25 12 25 25 25 20 20 20 15 20 25 15 25 50 30 20 20 25 12 15 20 20 35 22 15 18 30 22 12 12 20 20 15 25 15 20 20 25 18 30 20 25 25 25 20 20 25 20 22 15 15 22 20 10 25 20 20 15 12 20 5 20 15 15 25 25 25 15 25 22 25 20 18 22 25 35 25 25 25 35 30 22 30 50 15 25 24 20 25 25 25 12 15 22 25 25 25 25 15 20 20 15 35 30 20 22 65 20 25 22 20 25 25 20 25 15 20 12 15 10 25 15 30 35 25 25 25 25 25 40 40 25 25 20 25 25 22 25 30 25 25 30 25 25 30 25 25 20 22 22 20 25 22 25 22 40 25 25 25 22 20 35 20 35 25 22 25 25 25 25 25 40 25 30 25 20 25 25 30 22 22 20 15 15 25 25 20 20 15 25 15 20 22 25 15 15 18 5 15 25 18 40 25 25 20 30 20 25 25 25 22 22 25 25 30 25 25 25 25 20 20 25 25 25 25 20 30 25 22 30 20 20 30 25 25 30 20 25 25 24 25 30 18 15 22 22 25 22 22 25 15 20 22 18 35 20 20 20 25 25 30 15 25 22 26 25 20 25 25 25 22 25 25 20 22 30 15 30 25 20 25 25 35 22 20 25 20 20 18 20 22 25 10 20 25 20 20 30 25 20 15 20 25 10 20 25 22 22 25 25 15 25 20 10 25 16 25 35 25 15 25 25 30 25 10 22 20 25 20 20 25 22 18 30 19 25 20 25 20 25 20 22 12 30 12 22 25 25 25 25 30 30 10 22 22 25 20 22 20 25 20 15 25 20 25 20 30 15 40 25 20 22 22 30 20 40 20 25 20 25 20 50 50 25 25 40 30 22 30 20 25 25 30 25 25 20 18 18 28 25 22 15 40 40 12 12 18 12 25 26 18 25 22 15 25 15 15 15 25 15 12 22 20 20 25 20 12 9 15 12 15 25 20 20 15 15 30 21 25 22 22 50 15 25 15 25 22 18 50 20 50 20 20 30 25 20 22 25 50 40 25 25 25 25 30 40 25 30 20
 
Text written by user:
 
Output produced by software:


Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'George Udny Yule' @ 72.249.76.132


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean23.16555555555560.231224466059261100.186437665374
Geometric Mean22.1695841863897
Harmonic Mean21.0836686668612
Quadratic Mean24.180731539343
Winsorized Mean ( 1 / 300 )23.14888888888890.228454337049623101.328296883507
Winsorized Mean ( 2 / 300 )23.14888888888890.228454337049623101.328296883507
Winsorized Mean ( 3 / 300 )23.15222222222220.228167687955943101.470205661604
Winsorized Mean ( 4 / 300 )23.16111111111110.227466469606653101.822088992556
Winsorized Mean ( 5 / 300 )23.16666666666670.227067738253436102.025355274424
Winsorized Mean ( 6 / 300 )23.16666666666670.227067738253436102.025355274424
Winsorized Mean ( 7 / 300 )23.16666666666670.227067738253436102.025355274424
Winsorized Mean ( 8 / 300 )23.17555555555560.226471655468661102.333139692894
Winsorized Mean ( 9 / 300 )23.17555555555560.226471655468661102.333139692894
Winsorized Mean ( 10 / 300 )23.17555555555560.226471655468661102.333139692894
Winsorized Mean ( 11 / 300 )23.17555555555560.226471655468661102.333139692894
Winsorized Mean ( 12 / 300 )23.17555555555560.226471655468661102.333139692894
Winsorized Mean ( 13 / 300 )23.17555555555560.226471655468661102.333139692894
Winsorized Mean ( 14 / 300 )23.17555555555560.226471655468661102.333139692894
Winsorized Mean ( 15 / 300 )23.17555555555560.226471655468661102.333139692894
Winsorized Mean ( 16 / 300 )23.17555555555560.226471655468661102.333139692894
Winsorized Mean ( 17 / 300 )22.98666666666670.205130824831394112.058568894073
Winsorized Mean ( 18 / 300 )22.98666666666670.205130824831394112.058568894073
Winsorized Mean ( 19 / 300 )22.98666666666670.205130824831394112.058568894073
Winsorized Mean ( 20 / 300 )22.98666666666670.205130824831394112.058568894073
Winsorized Mean ( 21 / 300 )22.98666666666670.205130824831394112.058568894073
Winsorized Mean ( 22 / 300 )22.98666666666670.205130824831394112.058568894073
Winsorized Mean ( 23 / 300 )22.98666666666670.205130824831394112.058568894073
Winsorized Mean ( 24 / 300 )22.98666666666670.205130824831394112.058568894073
Winsorized Mean ( 25 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 26 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 27 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 28 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 29 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 30 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 31 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 32 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 33 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 34 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 35 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 36 / 300 )23.04222222222220.201478883867794114.365445052505
Winsorized Mean ( 37 / 300 )22.960.194080486395733118.301434762401
Winsorized Mean ( 38 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 39 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 40 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 41 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 42 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 43 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 44 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 45 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 46 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 47 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 48 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 49 / 300 )22.83333333333330.183939907325353124.134744141986
Winsorized Mean ( 50 / 300 )22.88888888888890.180425378283576126.860695023259
Winsorized Mean ( 51 / 300 )23.00222222222220.174062794211472132.148988682075
Winsorized Mean ( 52 / 300 )23.00222222222220.174062794211472132.148988682075
Winsorized Mean ( 53 / 300 )23.00222222222220.174062794211472132.148988682075
Winsorized Mean ( 54 / 300 )23.00222222222220.174062794211472132.148988682075
Winsorized Mean ( 55 / 300 )23.00222222222220.174062794211472132.148988682075
Winsorized Mean ( 56 / 300 )23.00222222222220.174062794211472132.148988682075
Winsorized Mean ( 57 / 300 )23.00222222222220.174062794211472132.148988682075
Winsorized Mean ( 58 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 59 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 60 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 61 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 62 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 63 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 64 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 65 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 66 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 67 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 68 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 69 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 70 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 71 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 72 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 73 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 74 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 75 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 76 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 77 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 78 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 79 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 80 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 81 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 82 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 83 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 84 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 85 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 86 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 87 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 88 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 89 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 90 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 91 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 92 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 93 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 94 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 95 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 96 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 97 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 98 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 99 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 100 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 101 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 102 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 103 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 104 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 105 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 106 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 107 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 108 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 109 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 110 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 111 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 112 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 113 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 114 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 115 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 116 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 117 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 118 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 119 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 120 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 121 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 122 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 123 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 124 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 125 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 126 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 127 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 128 / 300 )22.680.152885321863578148.346484303037
Winsorized Mean ( 129 / 300 )22.82333333333330.145126021890073157.265616710841
Winsorized Mean ( 130 / 300 )22.82333333333330.145126021890073157.265616710841
Winsorized Mean ( 131 / 300 )22.82333333333330.145126021890073157.265616710841
Winsorized Mean ( 132 / 300 )23.11666666666670.131017853415980176.439058219581
Winsorized Mean ( 133 / 300 )23.11666666666670.131017853415980176.439058219581
Winsorized Mean ( 134 / 300 )23.11666666666670.131017853415980176.439058219581
Winsorized Mean ( 135 / 300 )23.11666666666670.131017853415980176.439058219581
Winsorized Mean ( 136 / 300 )23.11666666666670.131017853415980176.439058219581
Winsorized Mean ( 137 / 300 )23.11666666666670.131017853415980176.439058219581
Winsorized Mean ( 138 / 300 )22.810.114224451463227199.694546200936
Winsorized Mean ( 139 / 300 )22.810.114224451463227199.694546200936
Winsorized Mean ( 140 / 300 )22.810.114224451463227199.694546200936
Winsorized Mean ( 141 / 300 )22.810.114224451463227199.694546200936
Winsorized Mean ( 142 / 300 )22.49444444444440.0999751064196686225.000455113484
Winsorized Mean ( 143 / 300 )22.49444444444440.0999751064196686225.000455113484
Winsorized Mean ( 144 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 145 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 146 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 147 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 148 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 149 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 150 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 151 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 152 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 153 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 154 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 155 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 156 / 300 )22.33444444444440.0943224000067103236.788339173468
Winsorized Mean ( 157 / 300 )22.50888888888890.0858764989241449262.107668231458
Winsorized Mean ( 158 / 300 )22.50888888888890.0858764989241449262.107668231458
Winsorized Mean ( 159 / 300 )22.50888888888890.0858764989241449262.107668231458
Winsorized Mean ( 160 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 161 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 162 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 163 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 164 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 165 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 166 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 167 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 168 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 169 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 170 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 171 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 172 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 173 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 174 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 175 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 176 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 177 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 178 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 179 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 180 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 181 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 182 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 183 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 184 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 185 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 186 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 187 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 188 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 189 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 190 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 191 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 192 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 193 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 194 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 195 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 196 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 197 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 198 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 199 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 200 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 201 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 202 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 203 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 204 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 205 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 206 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 207 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 208 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 209 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 210 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 211 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 212 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 213 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 214 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 215 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 216 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 217 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 218 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 219 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 220 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 221 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 222 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 223 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 224 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 225 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 226 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 227 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 228 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 229 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 230 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 231 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 232 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 233 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 234 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 235 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 236 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 237 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 238 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 239 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 240 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 241 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 242 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 243 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 244 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 245 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 246 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 247 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 248 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 249 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 250 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 251 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 252 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 253 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 254 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 255 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 256 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 257 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 258 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 259 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 260 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 261 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 262 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 263 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 264 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 265 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 266 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 267 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 268 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 269 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 270 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 271 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 272 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 273 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 274 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 275 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 276 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 277 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 278 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 279 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 280 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 281 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 282 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 283 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 284 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 285 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 286 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 287 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 288 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 289 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 290 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 291 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 292 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 293 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 294 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 295 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 296 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 297 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 298 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 299 / 300 )22.68666666666670.07841937464122289.299255068808
Winsorized Mean ( 300 / 300 )22.68666666666670.07841937464122289.299255068808
Trimmed Mean ( 1 / 300 )23.13919821826280.226097690695210102.341594675797
Trimmed Mean ( 2 / 300 )23.12946428571430.223693171452953103.398168730327
Trimmed Mean ( 3 / 300 )23.11968680089490.221238974624156104.500967065911
Trimmed Mean ( 4 / 300 )23.10874439461880.218834449288703105.599207390478
Trimmed Mean ( 5 / 300 )23.09550561797750.216567384461108106.643508095399
Trimmed Mean ( 6 / 300 )23.08108108108110.214339873337173107.684495291143
Trimmed Mean ( 7 / 300 )23.06659142212190.212066256539103108.770682326203
Trimmed Mean ( 8 / 300 )23.0520361990950.209744785120245109.905169684574
Trimmed Mean ( 9 / 300 )23.03628117913830.207457587046988111.040919288822
Trimmed Mean ( 10 / 300 )23.02045454545450.20512121481031112.228540410816
Trimmed Mean ( 11 / 300 )23.00455580865600.202733704074040113.471787602986
Trimmed Mean ( 12 / 300 )22.98858447488580.200292955191179114.774803002648
Trimmed Mean ( 13 / 300 )22.97254004576660.197796719437411116.142169147734
Trimmed Mean ( 14 / 300 )22.95642201834860.195242583368408117.578970848954
Trimmed Mean ( 15 / 300 )22.94022988505750.192627950977049119.090868011105
Trimmed Mean ( 16 / 300 )22.92396313364060.189950023258210120.684181767531
Trimmed Mean ( 17 / 300 )22.90762124711320.187205774703182122.365996900649
Trimmed Mean ( 18 / 300 )22.90277777777780.185992604313003123.138110046758
Trimmed Mean ( 19 / 300 )22.89791183294660.184758907214307123.934007719512
Trimmed Mean ( 20 / 300 )22.89302325581400.183504131646219124.754810970414
Trimmed Mean ( 21 / 300 )22.88811188811190.182227701692246125.601715192383
Trimmed Mean ( 22 / 300 )22.88317757009350.180929015735595126.475996550682
Trimmed Mean ( 23 / 300 )22.87822014051520.179607444782874127.379019105653
Trimmed Mean ( 24 / 300 )22.87323943661970.178262330642082128.312242716858
Trimmed Mean ( 25 / 300 )22.86823529411760.176892983938995129.277231831898
Trimmed Mean ( 26 / 300 )22.86084905660380.175686788169174130.122755927386
Trimmed Mean ( 27 / 300 )22.85342789598110.174459331613364130.995732269735
Trimmed Mean ( 28 / 300 )22.84597156398100.173210015619431131.897520373055
Trimmed Mean ( 29 / 300 )22.83847980997620.171938213999183132.829574524281
Trimmed Mean ( 30 / 300 )22.83095238095240.170643271175976133.793452408726
Trimmed Mean ( 31 / 300 )22.82338902147970.169324500166151134.790824712810
Trimmed Mean ( 32 / 300 )22.81578947368420.167981180375534135.823485837389
Trimmed Mean ( 33 / 300 )22.80815347721820.166612555189728136.893365876573
Trimmed Mean ( 34 / 300 )22.80048076923080.165217829333872138.002544042360
Trimmed Mean ( 35 / 300 )22.79277108433730.163796165974145139.153263745716
Trimmed Mean ( 36 / 300 )22.78502415458940.162346683529196140.347949580946
Trimmed Mean ( 37 / 300 )22.77723970944310.160868452154942141.589226503559
Trimmed Mean ( 38 / 300 )22.77184466019420.159660554793468142.626616133529
Trimmed Mean ( 39 / 300 )22.77007299270070.158815170780559143.374671832598
Trimmed Mean ( 40 / 300 )22.76829268292680.157955947388315144.143307418200
Trimmed Mean ( 41 / 300 )22.76650366748170.157082550442859144.933371678119
Trimmed Mean ( 42 / 300 )22.76470588235290.156194633060185145.745762426941
Trimmed Mean ( 43 / 300 )22.76289926289930.155291834945605146.581430188346
Trimmed Mean ( 44 / 300 )22.76108374384240.154373781641765147.441382220337
Trimmed Mean ( 45 / 300 )22.75925925925930.153440083720500148.326686921760
Trimmed Mean ( 46 / 300 )22.75742574257430.152490335913249149.238478663467
Trimmed Mean ( 47 / 300 )22.75558312655090.151524116174168150.177963093311
Trimmed Mean ( 48 / 300 )22.75373134328360.150540984669396151.146422970815
Trimmed Mean ( 49 / 300 )22.75187032418950.149540482685154152.145224595080
Trimmed Mean ( 50 / 300 )22.750.148522131446501153.175824898492
Trimmed Mean ( 51 / 300 )22.74686716791980.147594636855119154.117166128797
Trimmed Mean ( 52 / 300 )22.74120603015080.146839099872078154.871597891585
Trimmed Mean ( 53 / 300 )22.73551637279600.146070742609168155.647297786579
Trimmed Mean ( 54 / 300 )22.72979797979800.145289252834578156.445143300981
Trimmed Mean ( 55 / 300 )22.72405063291140.144494306488590157.266062484655
Trimmed Mean ( 56 / 300 )22.71827411167510.143685567036277158.111037735191
Trimmed Mean ( 57 / 300 )22.71246819338420.142862684772993158.981109934159
Trimmed Mean ( 58 / 300 )22.70663265306120.142025296078334159.877382973645
Trimmed Mean ( 59 / 300 )22.70716112531970.141739965996218160.202953103048
Trimmed Mean ( 60 / 300 )22.70769230769230.141450178044506160.534914989980
Trimmed Mean ( 61 / 300 )22.70822622107970.141155856011142160.873426457683
Trimmed Mean ( 62 / 300 )22.70876288659790.140856921915698161.218650654521
Trimmed Mean ( 63 / 300 )22.70930232558140.140553295953906161.570756284711
Trimmed Mean ( 64 / 300 )22.70984455958550.140244896439925161.929917851331
Trimmed Mean ( 65 / 300 )22.71038961038960.139931639746218162.296315912381
Trimmed Mean ( 66 / 300 )22.71093750.139613440240926162.670137350734
Trimmed Mean ( 67 / 300 )22.71148825065270.139290210222607163.051575658880
Trimmed Mean ( 68 / 300 )22.71204188481680.138961859852192163.440831239411
Trimmed Mean ( 69 / 300 )22.71259842519690.138628297082017163.838111722308
Trimmed Mean ( 70 / 300 )22.71315789473680.138289427581782164.243632300124
Trimmed Mean ( 71 / 300 )22.71372031662270.137945154661247164.657616082282
Trimmed Mean ( 72 / 300 )22.71428571428570.137595379189509165.080294469784
Trimmed Mean ( 73 / 300 )22.71485411140580.137239999510657165.511907551720
Trimmed Mean ( 74 / 300 )22.71542553191490.136878911355602165.952704525110
Trimmed Mean ( 75 / 300 )22.7160.136512007749876166.402944139694
Trimmed Mean ( 76 / 300 )22.71657754010700.136139178917148166.862895169449
Trimmed Mean ( 77 / 300 )22.71715817694370.135760312178233167.332836912746
Trimmed Mean ( 78 / 300 )22.71774193548390.135375291845303167.813059723217
Trimmed Mean ( 79 / 300 )22.71832884097040.134983999111044168.303865573587
Trimmed Mean ( 80 / 300 )22.71891891891890.134586311932422168.805568654905
Trimmed Mean ( 81 / 300 )22.71951219512200.134182104908766169.318496013829
Trimmed Mean ( 82 / 300 )22.72010869565220.133771249153782169.842988230852
Trimmed Mean ( 83 / 300 )22.72070844686650.133353612161157170.379400142598
Trimmed Mean ( 84 / 300 )22.72131147540980.132929057663308170.928101611613
Trimmed Mean ( 85 / 300 )22.72191780821920.132497445482883171.489478347374
Trimmed Mean ( 86 / 300 )22.72252747252750.132058631376503172.063932782590
Trimmed Mean ( 87 / 300 )22.72314049586780.131612466870273172.651885009233
Trimmed Mean ( 88 / 300 )22.72375690607730.131158799086487173.253773779167
Trimmed Mean ( 89 / 300 )22.72437673130190.130697470560961173.8700575747
Trimmed Mean ( 90 / 300 )22.7250.130228319050338174.501215754893
Trimmed Mean ( 91 / 300 )22.72562674094710.129751177328681175.147749784030
Trimmed Mean ( 92 / 300 )22.72625698324020.129265872972611175.810184549294
Trimmed Mean ( 93 / 300 )22.72689075630250.128772228134165176.489069775386
Trimmed Mean ( 94 / 300 )22.72752808988760.128270059300511177.184981544615
Trimmed Mean ( 95 / 300 )22.72816901408450.127759177039545177.898523931862
Trimmed Mean ( 96 / 300 )22.72881355932200.127239385730344178.630330764806
Trimmed Mean ( 97 / 300 )22.72946175637390.126710483277326179.381067520885
Trimmed Mean ( 98 / 300 )22.73011363636360.126172260806896180.151433373708
Trimmed Mean ( 99 / 300 )22.73076923076920.125624502345212180.942163403010
Trimmed Mean ( 100 / 300 )22.73142857142860.125066984475607181.754030983789
Trimmed Mean ( 101 / 300 )22.73209169054440.124499475974039182.587850372034
Trimmed Mean ( 102 / 300 )22.73275862068970.123921737420810183.444479506404
Trimmed Mean ( 103 / 300 )22.73342939481270.123333520786600184.324823047479
Trimmed Mean ( 104 / 300 )22.73410404624280.122734568990686185.229835678715
Trimmed Mean ( 105 / 300 )22.73478260869570.122124615428986186.160525696113
Trimmed Mean ( 106 / 300 )22.73546511627910.121503383469343187.117958916885
Trimmed Mean ( 107 / 300 )22.73615160349850.120870585911190188.10326294111
Trimmed Mean ( 108 / 300 )22.73684210526320.120225924406412189.117631804631
Trimmed Mean ( 109 / 300 )22.73753665689150.119569088837929190.162331066278
Trimmed Mean ( 110 / 300 )22.73823529411760.118899756652090191.238703378103
Trimmed Mean ( 111 / 300 )22.73893805309730.118217592140558192.348174593687
Trimmed Mean ( 112 / 300 )22.73964497041420.117522245666894193.492260476946
Trimmed Mean ( 113 / 300 )22.74035608308610.116813352832451194.672574082376
Trimmed Mean ( 114 / 300 )22.74107142857140.116090533575599195.890833887521
Trimmed Mean ( 115 / 300 )22.74107142857140.115353391197561197.142634407894
Trimmed Mean ( 116 / 300 )22.74251497005990.114601511307321198.448647933381
Trimmed Mean ( 117 / 300 )22.74324324324320.113834460677154199.792251906436
Trimmed Mean ( 118 / 300 )22.74397590361450.113051785999209201.181924748838
Trimmed Mean ( 119 / 300 )22.74397590361450.112253012532377202.613501326341
Trimmed Mean ( 120 / 300 )22.74545454545450.111437642627244204.109257959966
Trimmed Mean ( 121 / 300 )22.74620060790270.110605154115263205.652266296728
Trimmed Mean ( 122 / 300 )22.74695121951220.109754998546392207.252075265597
Trimmed Mean ( 123 / 300 )22.74695121951220.108886599257204208.904965116791
Trimmed Mean ( 124 / 300 )22.74846625766870.107999349248909210.635216007087
Trimmed Mean ( 125 / 300 )22.74923076923080.107092608851648212.425778148186
Trimmed Mean ( 126 / 300 )22.750.106165703147917214.287659059754
Trimmed Mean ( 127 / 300 )22.75077399380800.105217919123709216.225279717412
Trimmed Mean ( 128 / 300 )22.75155279503110.104248502511049218.243449517366
Trimmed Mean ( 129 / 300 )22.75233644859810.103256654279651220.347411092537
Trimmed Mean ( 130 / 300 )22.75156250.102414828223519222.151058539542
Trimmed Mean ( 131 / 300 )22.75078369905960.101554268788597224.025872771723
Trimmed Mean ( 132 / 300 )22.750.100674322297244225.97619214987
Trimmed Mean ( 133 / 300 )22.74605678233440.100060969123896227.321971608831
Trimmed Mean ( 134 / 300 )22.74208860759490.0994347053835418228.713792833937
Trimmed Mean ( 135 / 300 )22.73809523809520.0987951454722555230.153972944761
Trimmed Mean ( 136 / 300 )22.7340764331210.0981418859284548231.644992533505
Trimmed Mean ( 137 / 300 )22.73003194888180.0974745042357365233.189510704363
Trimmed Mean ( 138 / 300 )22.72596153846150.0967925575183422234.790381834419
Trimmed Mean ( 139 / 300 )22.72508038585210.096433180631366235.656236132281
Trimmed Mean ( 140 / 300 )22.72419354838710.096066755185164236.545863390382
Trimmed Mean ( 141 / 300 )22.72330097087380.0956931114489594237.460153889906
Trimmed Mean ( 142 / 300 )22.72240259740260.095312073822326238.400044046466
Trimmed Mean ( 143 / 300 )22.72475570032570.0951625758047458238.799291718966
Trimmed Mean ( 144 / 300 )22.72712418300650.0950097597669591239.208311217204
Trimmed Mean ( 145 / 300 )22.73114754098360.094932125895664239.446313105497
Trimmed Mean ( 146 / 300 )22.73519736842110.0948520878032773239.691058941936
Trimmed Mean ( 147 / 300 )22.73927392739270.094769595152772239.942714651637
Trimmed Mean ( 148 / 300 )22.74337748344370.0946845963385868240.201451586852
Trimmed Mean ( 149 / 300 )22.74750830564780.0945970384465655240.467446753072
Trimmed Mean ( 150 / 300 )22.75166666666670.0945068672123223240.740883046647
Trimmed Mean ( 151 / 300 )22.75585284280940.0944140269779545241.021949504631
Trimmed Mean ( 152 / 300 )22.76006711409400.094318460647024241.310841567601
Trimmed Mean ( 153 / 300 )22.76430976430980.094220109637722241.607761356243
Trimmed Mean ( 154 / 300 )22.76858108108110.0941189138341279241.912917962565
Trimmed Mean ( 155 / 300 )22.77288135593220.0940148115354651242.226527756657
Trimmed Mean ( 156 / 300 )22.77721088435370.0939077394032553242.548814709985
Trimmed Mean ( 157 / 300 )22.78156996587030.093797632406262242.880010736277
Trimmed Mean ( 158 / 300 )22.78424657534250.0938186697758321242.854078295744
Trimmed Mean ( 159 / 300 )22.7869415807560.0938387504179438242.830829260475
Trimmed Mean ( 160 / 300 )22.78965517241380.093857852317474242.810320177878
Trimmed Mean ( 161 / 300 )22.79065743944640.0939810270745747242.502749213007
Trimmed Mean ( 162 / 300 )22.79166666666670.094104603120689242.195024588078
Trimmed Mean ( 163 / 300 )22.79268292682930.0942285814963617241.887148940147
Trimmed Mean ( 164 / 300 )22.79370629370630.0943529632196694241.579124978182
Trimmed Mean ( 165 / 300 )22.79473684210530.0944777492852155241.270955484884
Trimmed Mean ( 166 / 300 )22.79577464788730.09460294066309240.962643318563
Trimmed Mean ( 167 / 300 )22.79681978798590.094728538297793240.654191415059
Trimmed Mean ( 168 / 300 )22.79787234042550.0948545431071228240.345602789727
Trimmed Mean ( 169 / 300 )22.79893238434160.094980955981025240.036880539466
Trimmed Mean ( 170 / 300 )22.80.0951077777804034239.728027844825
Trimmed Mean ( 171 / 300 )22.80107526881720.095235009335889239.419047972148
Trimmed Mean ( 172 / 300 )22.80215827338130.0953626514465674239.1099442758
Trimmed Mean ( 173 / 300 )22.80324909747290.0954907048786636238.800720200444
Trimmed Mean ( 174 / 300 )22.80434782608700.0956191703641796238.491379283393
Trimmed Mean ( 175 / 300 )22.80545454545450.0957480485994875238.181925157027
Trimmed Mean ( 176 / 300 )22.80656934306570.0958773402438725237.872361551282
Trimmed Mean ( 177 / 300 )22.80769230769230.096007045918027237.562692296210
Trimmed Mean ( 178 / 300 )22.80882352941180.096137166202492237.25292132462
Trimmed Mean ( 179 / 300 )22.8099630996310.0962677016360458236.943052674794
Trimmed Mean ( 180 / 300 )22.81111111111110.0963986527140354236.633090493285
Trimmed Mean ( 181 / 300 )22.81226765799260.0965300198866521236.323039037796
Trimmed Mean ( 182 / 300 )22.81343283582090.0966618035571465236.012902680153
Trimmed Mean ( 183 / 300 )22.81460674157300.0967940040799812235.702685909359
Trimmed Mean ( 184 / 300 )22.81578947368420.0969266217589203235.392393334749
Trimmed Mean ( 185 / 300 )22.81698113207550.0970596568450517235.082029689236
Trimmed Mean ( 186 / 300 )22.81818181818180.0971931095347412234.771599832657
Trimmed Mean ( 187 / 300 )22.8193916349810.0973269799675143234.461108755225
Trimmed Mean ( 188 / 300 )22.82061068702290.0974612682238653234.150561581086
Trimmed Mean ( 189 / 300 )22.82183908045980.0975959743229881233.839963571983
Trimmed Mean ( 190 / 300 )22.82307692307690.0977310982204289233.529320131043
Trimmed Mean ( 191 / 300 )22.82432432432430.0978666398056552233.218636806670
Trimmed Mean ( 192 / 300 )22.82558139534880.0980025988995403232.907919296576
Trimmed Mean ( 193 / 300 )22.82684824902720.098138975251758232.597173451924
Trimmed Mean ( 194 / 300 )22.8281250.098275768538086232.286405281615
Trimmed Mean ( 195 / 300 )22.82941176470590.0984129783576136231.975620956702
Trimmed Mean ( 196 / 300 )22.83070866141730.0985506042298495231.664826814956
Trimmed Mean ( 197 / 300 )22.83201581027670.0986886455917284231.354029365566
Trimmed Mean ( 198 / 300 )22.83333333333330.0988271017945088231.043235294005
Trimmed Mean ( 199 / 300 )22.83466135458170.0989659721005619230.732451467043
Trimmed Mean ( 200 / 300 )22.8360.0991052556800436230.42168493793
Trimmed Mean ( 201 / 300 )22.83734939759040.0992449516074488230.110942951745
Trimmed Mean ( 202 / 300 )22.83870967741940.0993850588580404229.800232950928
Trimmed Mean ( 203 / 300 )22.84008097165990.0995255763041498229.489562580986
Trimmed Mean ( 204 / 300 )22.84146341463410.099666502711344229.178939696399
Trimmed Mean ( 205 / 300 )22.84285714285710.0998078367344533228.868372366715
Trimmed Mean ( 206 / 300 )22.84426229508200.0999495769134544228.557868882853
Trimmed Mean ( 207 / 300 )22.84567901234570.100091721669204228.247437763625
Trimmed Mean ( 208 / 300 )22.84710743801650.100234269299016227.937087762467
Trimmed Mean ( 209 / 300 )22.84854771784230.100377217972076227.626827874415
Trimmed Mean ( 210 / 300 )22.850.100520565724690227.316667343304
Trimmed Mean ( 211 / 300 )22.85146443514640.100664310455353227.00661566923
Trimmed Mean ( 212 / 300 )22.85294117647060.100808449919642226.696682616264
Trimmed Mean ( 213 / 300 )22.85443037974680.100952981724911226.386878220430
Trimmed Mean ( 214 / 300 )22.85593220338980.101097903324799226.077212797977
Trimmed Mean ( 215 / 300 )22.85744680851060.101243212013523225.767696953922
Trimmed Mean ( 216 / 300 )22.85897435897440.101388904919965225.458341590916
Trimmed Mean ( 217 / 300 )22.86051502145920.101534979001534225.149157918414
Trimmed Mean ( 218 / 300 )22.86206896551720.101681431037798224.840157462170
Trimmed Mean ( 219 / 300 )22.86363636363640.101828257623872224.531352074086
Trimmed Mean ( 220 / 300 )22.86521739130430.101975455163561224.222753942410
Trimmed Mean ( 221 / 300 )22.86681222707420.102123019862238223.914375602298
Trimmed Mean ( 222 / 300 )22.86842105263160.102270947719454223.606229946781
Trimmed Mean ( 223 / 300 )22.87004405286340.102419234521260223.298330238116
Trimmed Mean ( 224 / 300 )22.87168141592920.102567875832240222.990690119567
Trimmed Mean ( 225 / 300 )22.87333333333330.102716866987230222.683323627627
Trimmed Mean ( 226 / 300 )22.8750.102866203082728222.376245204688
Trimmed Mean ( 227 / 300 )22.87668161434980.103015878967957222.069469712195
Trimmed Mean ( 228 / 300 )22.87837837837840.103165889235587221.763012444296
Trimmed Mean ( 229 / 300 )22.87837837837840.103316228212099221.440317501827
Trimmed Mean ( 230 / 300 )22.88009049773760.103466889947758221.134418066398
Trimmed Mean ( 231 / 300 )22.88356164383560.103617868206205220.845709721572
Trimmed Mean ( 232 / 300 )22.88532110091740.103769156453626220.54068745509
Trimmed Mean ( 233 / 300 )22.88709677419350.103920747847498220.236066889933
Trimmed Mean ( 234 / 300 )22.88888888888890.104072635224887219.931866233895
Trimmed Mean ( 235 / 300 )22.89069767441860.104224811090271219.628104238948
Trimmed Mean ( 236 / 300 )22.8925233644860.104377267602879219.324800219762
Trimmed Mean ( 237 / 300 )22.8925233644860.104529996563522219.004344370894
Trimmed Mean ( 238 / 300 )22.89436619718310.104682989400885218.701876285829
Trimmed Mean ( 239 / 300 )22.89810426540280.104836237157263218.417838013909
Trimmed Mean ( 240 / 300 )22.90.104989730473717218.116570989129
Trimmed Mean ( 241 / 300 )22.90191387559810.105143459574618217.815867655991
Trimmed Mean ( 242 / 300 )22.90384615384620.105297414251559217.515751138277
Trimmed Mean ( 243 / 300 )22.90579710144930.105451583846595217.216245274907
Trimmed Mean ( 244 / 300 )22.90776699029130.105605957234791216.917374645458
Trimmed Mean ( 245 / 300 )22.90776699029130.105760522806043216.600356943228
Trimmed Mean ( 246 / 300 )22.90975609756100.105915268446133216.302676976290
Trimmed Mean ( 247 / 300 )22.91379310344830.106070181516988216.024831632616
Trimmed Mean ( 248 / 300 )22.91584158415840.106225248836102215.728763502507
Trimmed Mean ( 249 / 300 )22.91791044776120.106380456655089215.433465585381
Trimmed Mean ( 250 / 300 )22.920.106535790637310215.138967504627
Trimmed Mean ( 251 / 300 )22.92211055276380.106691235834553214.845299836150
Trimmed Mean ( 252 / 300 )22.92424242424240.106846776662692214.552494144139
Trimmed Mean ( 253 / 300 )22.92424242424240.107002396876307214.240457162304
Trimmed Mean ( 254 / 300 )22.92857142857140.107158079542187213.969600113491
Trimmed Mean ( 255 / 300 )22.93076923076920.107313807011678213.679580189285
Trimmed Mean ( 256 / 300 )22.93298969072160.107469560891814213.390559153837
Trimmed Mean ( 257 / 300 )22.93523316062180.107625322015177213.102574107862
Trimmed Mean ( 258 / 300 )22.93750.107781070408403212.815663391404
Trimmed Mean ( 259 / 300 )22.93979057591620.107936785259301212.52986663265
Trimmed Mean ( 260 / 300 )22.94210526315790.108092444882477212.245224799029
Trimmed Mean ( 261 / 300 )22.94444444444440.108248026683417211.96178025072
Trimmed Mean ( 262 / 300 )22.94680851063830.108403507120936211.679576796704
Trimmed Mean ( 263 / 300 )22.94919786096260.108558861667916211.398659753496
Trimmed Mean ( 264 / 300 )22.95161290322580.108714064770231211.119076006719
Trimmed Mean ( 265 / 300 )22.95405405405410.108869089803795210.840874075663
Trimmed Mean ( 266 / 300 )22.95652173913040.109023909029596210.564104181025
Trimmed Mean ( 267 / 300 )22.95901639344260.109178493546646210.288818315976
Trimmed Mean ( 268 / 300 )22.96153846153850.109332813242714210.015070320791
Trimmed Mean ( 269 / 300 )22.96408839779010.109486836742733209.742915961213
Trimmed Mean ( 270 / 300 )22.96666666666670.109640531354758209.472413010793
Trimmed Mean ( 271 / 300 )22.96927374301680.109793863013338209.203621337437
Trimmed Mean ( 272 / 300 )22.97191011235960.109946796220167208.936602994403
Trimmed Mean ( 273 / 300 )22.97457627118640.110099293981861208.671422316038
Trimmed Mean ( 274 / 300 )22.97727272727270.110251317744705208.408146018519
Trimmed Mean ( 275 / 300 )22.980.11040282732621208.146843305927
Trimmed Mean ( 276 / 300 )22.98275862068970.110553780843282207.887585981970
Trimmed Mean ( 277 / 300 )22.98554913294800.110704134636837207.630448567721
Trimmed Mean ( 278 / 300 )22.98837209302330.110853843192649207.375508425743
Trimmed Mean ( 279 / 300 )22.99122807017540.111002859058211207.122845891012
Trimmed Mean ( 280 / 300 )22.99411764705880.111151132755392206.872544409074
Trimmed Mean ( 281 / 300 )22.99704142011830.111298612688649206.624690681915
Trimmed Mean ( 282 / 300 )230.111445245048514206.379374822028
Trimmed Mean ( 283 / 300 )23.00299401197600.111590973710106206.136690515256
Trimmed Mean ( 284 / 300 )23.00602409638550.111735740126358205.896735192954
Trimmed Mean ( 285 / 300 )23.00909090909090.111879483215650205.659610214148
Trimmed Mean ( 286 / 300 )23.01219512195120.112022139243504205.425421058326
Trimmed Mean ( 287 / 300 )23.01533742331290.112163641697996205.194277529633
Trimmed Mean ( 288 / 300 )23.01851851851850.112303921158491204.966293973237
Trimmed Mean ( 289 / 300 )23.02173913043480.112442905157293204.741589504739
Trimmed Mean ( 290 / 300 )23.0250.112580518033771204.520288253542
Trimmed Mean ( 291 / 300 )23.02830188679250.112716680780494204.302519621192
Trimmed Mean ( 292 / 300 )23.03164556962030.112851310880860204.088418555769
Trimmed Mean ( 293 / 300 )23.03503184713380.112984322137700203.87812584351
Trimmed Mean ( 294 / 300 )23.03846153846150.113115624492249203.67178841894
Trimmed Mean ( 295 / 300 )23.04193548387100.113245123832882203.4695596949
Trimmed Mean ( 296 / 300 )23.04545454545450.113372721792947203.271599913977
Trimmed Mean ( 297 / 300 )23.04901960784310.113498315536955203.07807652298
Trimmed Mean ( 298 / 300 )23.05263157894740.113621797534382202.889164572244
Trimmed Mean ( 299 / 300 )23.05629139072850.113743055320222202.705047141716
Trimmed Mean ( 300 / 300 )23.060.113861971241426202.525915795933
Median22
Midrange35
Midmean - Weighted Average at Xnp22.8489932885906
Midmean - Weighted Average at X(n+1)p22.8489932885906
Midmean - Empirical Distribution Function22.8489932885906
Midmean - Empirical Distribution Function - Averaging22.8489932885906
Midmean - Empirical Distribution Function - Interpolation22.8489932885906
Midmean - Closest Observation22.8489932885906
Midmean - True Basic - Statistics Graphics Toolkit22.8489932885906
Midmean - MS Excel (old versions)22.8489932885906
Number of observations900
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Apr/21/t12087967593jo3ebels8rmt5r/1ae9y1208796582.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Apr/21/t12087967593jo3ebels8rmt5r/1ae9y1208796582.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Apr/21/t12087967593jo3ebels8rmt5r/2hb2k1208796582.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Apr/21/t12087967593jo3ebels8rmt5r/2hb2k1208796582.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')
 





Copyright

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


Disclaimer

Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. We use reasonable efforts to include accurate and timely information and periodically update the information, and software without notice. However, we make no warranties or representations as to the accuracy or completeness of such information (or software), and we assume no liability or responsibility for errors or omissions in the content of this web site, or any software bugs in online applications. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall we be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.


Privacy Policy

We may request personal information to be submitted to our servers in order to be able to:

  • personalize online software applications according to your needs
  • enforce strict security rules with respect to the data that you upload (e.g. statistical data)
  • manage user sessions of online applications
  • alert you about important changes or upgrades in resources or applications

We NEVER allow other companies to directly offer registered users information about their products and services. Banner references and hyperlinks of third parties NEVER contain any personal data of the visitor.

We do NOT sell, nor transmit by any means, personal information, nor statistical data series uploaded by you to third parties.

We carefully protect your data from loss, misuse, alteration, and destruction. However, at any time, and under any circumstance you are solely responsible for managing your passwords, and keeping them secret.

We store a unique ANONYMOUS USER ID in the form of a small 'Cookie' on your computer. This allows us to track your progress when using this website which is necessary to create state-dependent features. The cookie is used for NO OTHER PURPOSE. At any time you may opt to disallow cookies from this website - this will not affect other features of this website.

We examine cookies that are used by third-parties (banner and online ads) very closely: abuse from third-parties automatically results in termination of the advertising contract without refund. We have very good reason to believe that the cookies that are produced by third parties (banner ads) do NOT cause any privacy or security risk.

FreeStatistics.org is safe. There is no need to download any software to use the applications and services contained in this website. Hence, your system's security is not compromised by their use, and your personal data - other than data you submit in the account application form, and the user-agent information that is transmitted by your browser - is never transmitted to our servers.

As a general rule, we do not log on-line behavior of individuals (other than normal logging of webserver 'hits'). However, in cases of abuse, hacking, unauthorized access, Denial of Service attacks, illegal copying, hotlinking, non-compliance with international webstandards (such as robots.txt), or any other harmful behavior, our system engineers are empowered to log, track, identify, publish, and ban misbehaving individuals - even if this leads to ban entire blocks of IP addresses, or disclosing user's identity.


FreeStatistics.org is powered by