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opgave 5 rekenkundig gemiddelde - Aswin Van Hecke

*Unverified author*
R Software Module: /rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Tue, 16 Mar 2010 07:34:41 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Mar/16/t1268746655u239zhm97fite4e.htm/, Retrieved Tue, 16 Mar 2010 14:37:37 +0100
 
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/2010/Mar/16/t1268746655u239zhm97fite4e.htm/},
    year = {2010},
}
@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 = {2010},
    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:
KDGP1W51
 
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 99 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 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean12.32051282051280.39775979118740530.9747568594936
Geometric Mean10.9117977008010
Harmonic Mean10.1524639709944
Quadratic Mean16.9523877339875
Winsorized Mean ( 1 / 286 )12.32051282051280.39775979118740530.9747568594936
Winsorized Mean ( 2 / 286 )12.32051282051280.39775979118740530.9747568594936
Winsorized Mean ( 3 / 286 )12.32400932400930.39764876871701730.9921978729415
Winsorized Mean ( 4 / 286 )12.33333333333330.39739345069382231.035572709616
Winsorized Mean ( 5 / 286 )12.33916083916080.39725934025037331.0607192555474
Winsorized Mean ( 6 / 286 )12.33916083916080.39725934025037331.0607192555474
Winsorized Mean ( 7 / 286 )12.34731934731930.39709531630368631.0940946426991
Winsorized Mean ( 8 / 286 )12.34731934731930.39709531630368631.0940946426991
Winsorized Mean ( 9 / 286 )12.34731934731930.39709531630368631.0940946426991
Winsorized Mean ( 10 / 286 )12.34731934731930.39709531630368631.0940946426991
Winsorized Mean ( 11 / 286 )12.34731934731930.39709531630368631.0940946426991
Winsorized Mean ( 12 / 286 )12.34731934731930.39709531630368631.0940946426991
Winsorized Mean ( 13 / 286 )12.18065268065270.35508821557275434.303173539582
Winsorized Mean ( 14 / 286 )11.90326340326340.28281023296524142.0892245604365
Winsorized Mean ( 15 / 286 )11.67599067599070.22924853165891450.9315832537708
Winsorized Mean ( 16 / 286 )11.54545454545450.19948419992756757.8765363354428
Winsorized Mean ( 17 / 286 )11.10955710955710.107906098328598102.955785461967
Winsorized Mean ( 18 / 286 )10.94172494172490.0810062420677285135.072614929806
Winsorized Mean ( 19 / 286 )10.89743589743590.0756758388297784144.001521039602
Winsorized Mean ( 20 / 286 )10.89743589743590.0756758388297784144.001521039602
Winsorized Mean ( 21 / 286 )10.87296037296040.0731368662565478148.665931827328
Winsorized Mean ( 22 / 286 )10.87296037296040.0731368662565478148.665931827328
Winsorized Mean ( 23 / 286 )10.84615384615380.0706833841919457153.447008376118
Winsorized Mean ( 24 / 286 )10.84615384615380.0706833841919457153.447008376118
Winsorized Mean ( 25 / 286 )10.84615384615380.0706833841919457153.447008376118
Winsorized Mean ( 26 / 286 )10.84615384615380.0706833841919457153.447008376118
Winsorized Mean ( 27 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 28 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 29 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 30 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 31 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 32 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 33 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 34 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 35 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 36 / 286 )10.81468531468530.068214458559281158.539487714132
Winsorized Mean ( 37 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 38 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 39 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 40 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 41 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 42 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 43 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 44 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 45 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 46 / 286 )10.85780885780890.0657073654590441165.244927748269
Winsorized Mean ( 47 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 48 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 49 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 50 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 51 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 52 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 53 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 54 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 55 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 56 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 57 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 58 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 59 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 60 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 61 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 62 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 63 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 64 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 65 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 66 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 67 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 68 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 69 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 70 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 71 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 72 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 73 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 74 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 75 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 76 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 77 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 78 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 79 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 80 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 81 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 82 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 83 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 84 / 286 )10.80303030303030.062035040868628174.144002353572
Winsorized Mean ( 85 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 86 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 87 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 88 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 89 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 90 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 91 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 92 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 93 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 94 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 95 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 96 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 97 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 98 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 99 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 100 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 101 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 102 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 103 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 104 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 105 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 106 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 107 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 108 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 109 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 110 / 286 )10.70396270396270.0566865499786264188.827203419482
Winsorized Mean ( 111 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 112 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 113 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 114 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 115 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 116 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 117 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 118 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 119 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 120 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 121 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 122 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 123 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 124 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 125 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 126 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 127 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 128 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 129 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 130 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 131 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 132 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 133 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 134 / 286 )10.57459207459210.0514935399464774205.357644581890
Winsorized Mean ( 135 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 136 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 137 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 138 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 139 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 140 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 141 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 142 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 143 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 144 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 145 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 146 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 147 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 148 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 149 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 150 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 151 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 152 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 153 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 154 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 155 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 156 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 157 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 158 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 159 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 160 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 161 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 162 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 163 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 164 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 165 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 166 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 167 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 168 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 169 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 170 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 171 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 172 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 173 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 174 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 175 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 176 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 177 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 178 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 179 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 180 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 181 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 182 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 183 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 184 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 185 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 186 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 187 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 188 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 189 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 190 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 191 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 192 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 193 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 194 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 195 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 196 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 197 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 198 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 199 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 200 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 201 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 202 / 286 )10.73193473193470.0431383716857317248.779319027574
Winsorized Mean ( 203 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 204 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 205 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 206 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 207 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 208 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 209 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 210 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 211 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 212 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 213 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 214 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 215 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 216 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 217 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 218 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 219 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 220 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 221 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 222 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 223 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 224 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 225 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 226 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 227 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 228 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 229 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 230 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 231 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 232 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 233 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 234 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 235 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 236 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 237 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 238 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 239 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 240 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 241 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 242 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 243 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 244 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 245 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 246 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 247 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 248 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 249 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 250 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 251 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 252 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 253 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 254 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 255 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 256 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 257 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 258 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 259 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 260 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 261 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 262 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 263 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 264 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 265 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 266 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 267 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 268 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 269 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 270 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 271 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 272 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 273 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 274 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 275 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 276 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 277 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 278 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 279 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 280 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 281 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 282 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 283 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 284 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 285 / 286 )10.96853146853150.0333974018582199328.424693486504
Winsorized Mean ( 286 / 286 )10.96853146853150.0333974018582199328.424693486504
Trimmed Mean ( 1 / 286 )12.23247663551400.38536151072266831.7428603925039
Trimmed Mean ( 2 / 286 )12.14402810304450.37240164459360532.6100281224511
Trimmed Mean ( 3 / 286 )12.05516431924880.35881742986092733.5969306840007
Trimmed Mean ( 4 / 286 )11.96470588235290.34457508734916934.7230729139415
Trimmed Mean ( 5 / 286 )11.87146226415090.32961777376712836.0158438317044
Trimmed Mean ( 6 / 286 )11.77659574468090.31379378834357337.5297287012789
Trimmed Mean ( 7 / 286 )11.68127962085310.29692727055258839.3405415377105
Trimmed Mean ( 8 / 286 )11.58432304038000.27885719717082741.5421339592807
Trimmed Mean ( 9 / 286 )11.48690476190480.25929525906919444.3004812472851
Trimmed Mean ( 10 / 286 )11.38902147971360.23787038564004647.879106300134
Trimmed Mean ( 11 / 286 )11.29066985645930.21402011978692652.7551795957318
Trimmed Mean ( 12 / 286 )11.19184652278180.18681351667617359.9091903086542
Trimmed Mean ( 13 / 286 )11.09254807692310.15448208992038571.8047514934569
Trimmed Mean ( 14 / 286 )11.00602409638550.12384287849686288.8708679091664
Trimmed Mean ( 15 / 286 )10.93961352657000.101488871592644107.791261789564
Trimmed Mean ( 16 / 286 )10.88861985472150.0849160265641505128.228089505526
Trimmed Mean ( 17 / 286 )10.84587378640780.0704669549631829153.914324694099
Trimmed Mean ( 18 / 286 )10.82968369829680.067316621342537160.876815893516
Trimmed Mean ( 19 / 286 )10.82317073170730.0663819498274853163.043881052527
Trimmed Mean ( 20 / 286 )10.81907090464550.0657965672879903164.432148219688
Trimmed Mean ( 21 / 286 )10.81495098039220.0651993768097179165.875066750334
Trimmed Mean ( 22 / 286 )10.81203931203930.064746261516834166.990943704575
Trimmed Mean ( 23 / 286 )10.80911330049260.064284867161988168.143978166048
Trimmed Mean ( 24 / 286 )10.80740740740740.0639509537193312168.995249935429
Trimmed Mean ( 25 / 286 )10.80569306930690.0636114934950256169.870136285229
Trimmed Mean ( 26 / 286 )10.80397022332510.0632663523885447170.769608416389
Trimmed Mean ( 27 / 286 )10.80223880597010.0629153912242414171.694693393372
Trimmed Mean ( 28 / 286 )10.80174563591020.0626752797419787172.344593919306
Trimmed Mean ( 29 / 286 )10.801250.0624314235796985173.009830317442
Trimmed Mean ( 30 / 286 )10.80075187969920.0621837451202073173.690919690031
Trimmed Mean ( 31 / 286 )10.80075187969920.0619321643431695174.396486773039
Trimmed Mean ( 32 / 286 )10.79974811083120.0616765987192842175.102848326403
Trimmed Mean ( 33 / 286 )10.79924242424240.0614169630982737175.834848866794
Trimmed Mean ( 34 / 286 )10.79873417721520.0611531695902319176.585028209888
Trimmed Mean ( 35 / 286 )10.79822335025380.0608851274398366177.354040375854
Trimmed Mean ( 36 / 286 )10.79770992366410.0606127428928879178.142572144365
Trimmed Mean ( 37 / 286 )10.79719387755100.0603359190545836178.951345181022
Trimmed Mean ( 38 / 286 )10.79539641943730.0601443531062564179.491437880548
Trimmed Mean ( 39 / 286 )10.79358974358970.0599497275307355180.044016681410
Trimmed Mean ( 40 / 286 )10.79177377892030.0597519816060927180.60947083
Trimmed Mean ( 41 / 286 )10.78994845360820.0595510528717553181.18820630837
Trimmed Mean ( 42 / 286 )10.78811369509040.0593468770588011181.780646762618
Trimmed Mean ( 43 / 286 )10.78626943005180.0591393880165585182.387234494746
Trimmed Mean ( 44 / 286 )10.78441558441560.0589285176352632183.008431523180
Trimmed Mean ( 45 / 286 )10.78255208333330.0587141957645075183.644720717632
Trimmed Mean ( 46 / 286 )10.78067885117490.0584963501271948184.296607014512
Trimmed Mean ( 47 / 286 )10.77879581151830.0582749062286859184.964618719754
Trimmed Mean ( 48 / 286 )10.77821522309710.0581602649261227185.319225020519
Trimmed Mean ( 49 / 286 )10.77763157894740.0580437710521453185.681105544727
Trimmed Mean ( 50 / 286 )10.77704485488130.0579253923393919186.050442122813
Trimmed Mean ( 51 / 286 )10.77645502645500.0578050957623819186.427422778669
Trimmed Mean ( 52 / 286 )10.77586206896550.0576828475135276186.812242000335
Trimmed Mean ( 53 / 286 )10.77526595744680.0575586129781572187.205101025209
Trimmed Mean ( 54 / 286 )10.77466666666670.0574323567085003187.606208140714
Trimmed Mean ( 55 / 286 )10.77466666666670.0573040423965802188.026293016105
Trimmed Mean ( 56 / 286 )10.77345844504020.0571736328459563188.434036963635
Trimmed Mean ( 57 / 286 )10.77284946236560.0570410899422557188.861213438790
Trimmed Mean ( 58 / 286 )10.77223719676550.0569063746224286189.297548266584
Trimmed Mean ( 59 / 286 )10.77162162162160.0567694468426586189.743290109486
Trimmed Mean ( 60 / 286 )10.77100271002710.0566302655448541190.198696869890
Trimmed Mean ( 61 / 286 )10.77100271002710.0564887886216423190.675052038564
Trimmed Mean ( 62 / 286 )10.77038043478260.0563449728797824191.150689836381
Trimmed Mean ( 63 / 286 )10.76912568306010.056198774001907191.625633731702
Trimmed Mean ( 64 / 286 )10.76849315068490.0560501465064986192.122479990956
Trimmed Mean ( 65 / 286 )10.76785714285710.055899043705996192.6304356742
Trimmed Mean ( 66 / 286 )10.7672176308540.055745417662924193.149824366913
Trimmed Mean ( 67 / 286 )10.76657458563540.0555892191439278193.68098259771
Trimmed Mean ( 68 / 286 )10.76592797783930.055430397571586194.224260504998
Trimmed Mean ( 69 / 286 )10.76527777777780.0552689009738701194.780022545904
Trimmed Mean ( 70 / 286 )10.76462395543180.0551046759311027195.348648250663
Trimmed Mean ( 71 / 286 )10.76396648044690.054937667520263195.930533025939
Trimmed Mean ( 72 / 286 )10.76330532212890.0547678192564694196.526089010883
Trimmed Mean ( 73 / 286 )10.76264044943820.0545950730314623197.135745990043
Trimmed Mean ( 74 / 286 )10.76197183098590.0544193690488926197.759952367638
Trimmed Mean ( 75 / 286 )10.76129943502820.0542406457562082198.399176208121
Trimmed Mean ( 76 / 286 )10.76062322946180.0540588397729136199.053906348419
Trimmed Mean ( 77 / 286 )10.75994318181820.0538738858149604199.724653587735
Trimmed Mean ( 78 / 286 )10.75925925925930.053685716615006200.411951961388
Trimmed Mean ( 79 / 286 )10.75857142857140.0534942628382574201.116360105765
Trimmed Mean ( 80 / 286 )10.75787965616050.0532994529935927201.838462722191
Trimmed Mean ( 81 / 286 )10.75718390804600.0531012133396272202.578872148263
Trimmed Mean ( 82 / 286 )10.75648414985590.0528994677853625203.338230046093
Trimmed Mean ( 83 / 286 )10.75578034682080.0526941377850267204.117209217856
Trimmed Mean ( 84 / 286 )10.75507246376810.052485142226678204.916515560119
Trimmed Mean ( 85 / 286 )10.75436046511630.0522723973141061205.736890169645
Trimmed Mean ( 86 / 286 )10.75510204081630.052167938252187206.163064923607
Trimmed Mean ( 87 / 286 )10.75584795321640.0520615764978377206.598583384487
Trimmed Mean ( 88 / 286 )10.75659824046920.0519532757333623207.043696256515
Trimmed Mean ( 89 / 286 )10.75735294117650.0518429987157478207.498663419499
Trimmed Mean ( 90 / 286 )10.75811209439530.0517307072451101207.96375436008
Trimmed Mean ( 91 / 286 )10.75887573964500.0516163621317445208.439248627872
Trimmed Mean ( 92 / 286 )10.75964391691390.0514999231617012208.925436318234
Trimmed Mean ( 93 / 286 )10.76041666666670.0513813490608061209.422618583496
Trimmed Mean ( 94 / 286 )10.76119402985070.0512605974570363209.931108174659
Trimmed Mean ( 95 / 286 )10.76197604790420.0511376248411584210.451230015719
Trimmed Mean ( 96 / 286 )10.76276276276280.0510123865255275210.983321812966
Trimmed Mean ( 97 / 286 )10.76355421686750.0508848366009405211.527734701786
Trimmed Mean ( 98 / 286 )10.76435045317220.0507549278914282212.084833933734
Trimmed Mean ( 99 / 286 )10.76515151515150.0506226119068622212.654999606850
Trimmed Mean ( 100 / 286 )10.76595744680850.0504878387932456213.238627442473
Trimmed Mean ( 101 / 286 )10.76676829268290.0503505572805444213.836129612079
Trimmed Mean ( 102 / 286 )10.76758409785930.0502107146279075214.447935618001
Trimmed Mean ( 103 / 286 )10.76840490797550.0500682565661113215.074493232186
Trimmed Mean ( 104 / 286 )10.76923076923080.049923127237053215.716269497594
Trimmed Mean ( 105 / 286 )10.77006172839510.0497752691301015216.373751797193
Trimmed Mean ( 106 / 286 )10.77089783281730.0496246230151025217.047448996023
Trimmed Mean ( 107 / 286 )10.77173913043480.0494711278718161217.737892662267
Trimmed Mean ( 108 / 286 )10.77258566978190.0493147208155479218.445638373878
Trimmed Mean ( 109 / 286 )10.77343750.0491553370187176219.171267117905
Trimmed Mean ( 110 / 286 )10.77343750.0489929096280838219.897890976135
Trimmed Mean ( 111 / 286 )10.77515723270440.0488273696773247220.678633805424
Trimmed Mean ( 112 / 286 )10.77760252365930.0487468089087176221.093498527078
Trimmed Mean ( 113 / 286 )10.78006329113920.0486644020845034221.518457627820
Trimmed Mean ( 114 / 286 )10.78253968253970.0485801100649294221.953792779151
Trimmed Mean ( 115 / 286 )10.78503184713380.0484938926455382222.399796320043
Trimmed Mean ( 116 / 286 )10.78753993610220.0484057085193108222.856771775145
Trimmed Mean ( 117 / 286 )10.78753993610220.0483155152370825223.272791010676
Trimmed Mean ( 118 / 286 )10.79260450160770.0482232691661358223.804911782851
Trimmed Mean ( 119 / 286 )10.79516129032260.0481289254468638224.296744423285
Trimmed Mean ( 120 / 286 )10.79773462783170.0480324379473933224.800886427163
Trimmed Mean ( 121 / 286 )10.80032467532470.0479337592160465225.317706183769
Trimmed Mean ( 122 / 286 )10.80032467532470.0478328404315144225.793086463018
Trimmed Mean ( 123 / 286 )10.80555555555560.0477296313506031226.390928439866
Trimmed Mean ( 124 / 286 )10.80555555555560.0476240802534063226.892687440041
Trimmed Mean ( 125 / 286 )10.81085526315790.0475161338857444227.519673405107
Trimmed Mean ( 126 / 286 )10.81353135313530.0474057373987013228.105962411030
Trimmed Mean ( 127 / 286 )10.81622516556290.0472928342850744228.707484528507
Trimmed Mean ( 128 / 286 )10.81893687707640.0471773663125422229.324731808951
Trimmed Mean ( 129 / 286 )10.82166666666670.047059273453336229.958218062959
Trimmed Mean ( 130 / 286 )10.82441471571910.0469384938101862230.608480099334
Trimmed Mean ( 131 / 286 )10.82718120805370.0468149635382987231.276079051009
Trimmed Mean ( 132 / 286 )10.82996632996630.0466886167630908231.961601795148
Trimmed Mean ( 133 / 286 )10.83277027027030.0465593854934006232.665662475415
Trimmed Mean ( 134 / 286 )10.83559322033900.0464271995298563233.38890413519
Trimmed Mean ( 135 / 286 )10.83843537414970.0462919863680661234.132000471390
Trimmed Mean ( 136 / 286 )10.8395904436860.0463013587416109234.109553980421
Trimmed Mean ( 137 / 286 )10.84075342465750.0463102643348004234.089646871463
Trimmed Mean ( 138 / 286 )10.84192439862540.0463186926255586234.0723320123
Trimmed Mean ( 139 / 286 )10.84310344827590.0463266328457461234.057663641996
Trimmed Mean ( 140 / 286 )10.84429065743940.0463340739744275234.045697415353
Trimmed Mean ( 141 / 286 )10.84548611111110.0463410047309214234.036490449124
Trimmed Mean ( 142 / 286 )10.84668989547040.0463474135676237234.030101370045
Trimmed Mean ( 143 / 286 )10.84790209790210.046353288662595234.026590364792
Trimmed Mean ( 144 / 286 )10.84912280701750.0463586179119053234.026019231936
Trimmed Mean ( 145 / 286 )10.85035211267610.0463633889217236234.028451436002
Trimmed Mean ( 146 / 286 )10.85159010600710.0463675890001447234.033952163724
Trimmed Mean ( 147 / 286 )10.85283687943260.0463712051487414234.042588382614
Trimmed Mean ( 148 / 286 )10.85409252669040.0463742240538328234.054428901939
Trimmed Mean ( 149 / 286 )10.85535714285710.0463766320774552234.069544436242
Trimmed Mean ( 150 / 286 )10.85663082437280.0463784152480259234.088007671518
Trimmed Mean ( 151 / 286 )10.85791366906470.0463795592506859234.109893334188
Trimmed Mean ( 152 / 286 )10.85920577617330.0463800494173092234.135278262998
Trimmed Mean ( 153 / 286 )10.86050724637680.0463798707161652234.164241484
Trimmed Mean ( 154 / 286 )10.86181818181820.046379007741219234.196864288772
Trimmed Mean ( 155 / 286 )10.86313868613140.0463774447010556234.233230316032
Trimmed Mean ( 156 / 286 )10.86446886446890.0463751654074121234.273425636826
Trimmed Mean ( 157 / 286 )10.86580882352940.0463721532633001234.317538843486
Trimmed Mean ( 158 / 286 )10.86715867158670.0463683912507036234.365661142531
Trimmed Mean ( 159 / 286 )10.86851851851850.0463638619178314234.417886451744
Trimmed Mean ( 160 / 286 )10.86988847583640.0463585473659066234.474311501625
Trimmed Mean ( 161 / 286 )10.87126865671640.0463524292354732234.535035941476
Trimmed Mean ( 162 / 286 )10.87265917603000.0463454886921973234.600162450342
Trimmed Mean ( 163 / 286 )10.87406015037590.046337706412143234.669796853095
Trimmed Mean ( 164 / 286 )10.87547169811320.0463290625664968234.744048241932
Trimmed Mean ( 165 / 286 )10.87689393939390.0463195368057192234.823029103584
Trimmed Mean ( 166 / 286 )10.87832699619770.0463091082430951234.906855452560
Trimmed Mean ( 167 / 286 )10.87977099236640.0462977554376571234.995646970764
Trimmed Mean ( 168 / 286 )10.88122605363980.0462854563764525235.089527153839
Trimmed Mean ( 169 / 286 )10.88269230769230.0462721884561251235.188623464636
Trimmed Mean ( 170 / 286 )10.88416988416990.0462579284637776235.293067494208
Trimmed Mean ( 171 / 286 )10.88565891472870.0462426525570835235.402995130763
Trimmed Mean ( 172 / 286 )10.88715953307390.0462263362436117235.518546737056
Trimmed Mean ( 173 / 286 )10.8886718750.0462089543593269235.639867336713
Trimmed Mean ( 174 / 286 )10.89019607843140.0461904810462262235.767106810011
Trimmed Mean ( 175 / 286 )10.89173228346460.0461708897290697235.900420099702
Trimmed Mean ( 176 / 286 )10.89328063241110.0461501530911623236.039967427478
Trimmed Mean ( 177 / 286 )10.89484126984130.0461282430491387236.185914521726
Trimmed Mean ( 178 / 286 )10.89641434262950.0461051307267026236.338432857292
Trimmed Mean ( 179 / 286 )10.8980.0460807864272683236.497699907984
Trimmed Mean ( 180 / 286 )10.89959839357430.0460551796054485236.663899412626
Trimmed Mean ( 181 / 286 )10.90120967741940.0460282788373307236.837221655528
Trimmed Mean ( 182 / 286 )10.90283400809720.0460000517894784237.017863762296
Trimmed Mean ( 183 / 286 )10.90447154471540.0459704651865927237.206030011977
Trimmed Mean ( 184 / 286 )10.90612244897960.0459394847777624237.401932166615
Trimmed Mean ( 185 / 286 )10.90778688524590.0459070753012296237.605789819369
Trimmed Mean ( 186 / 286 )10.90946502057610.045873200447591237.817830762428
Trimmed Mean ( 187 / 286 )10.91115702479340.04583782282135238.038291376075
Trimmed Mean ( 188 / 286 )10.91286307053940.0458009039007306238.267417040329
Trimmed Mean ( 189 / 286 )10.91458333333330.0457624039956583238.505462570735
Trimmed Mean ( 190 / 286 )10.91631799163180.0457222822038037238.752692679974
Trimmed Mean ( 191 / 286 )10.91806722689080.0456804963645835239.009382467123
Trimmed Mean ( 192 / 286 )10.91983122362870.0456370030110004239.275817936523
Trimmed Mean ( 193 / 286 )10.92161016949150.0455917573191999239.552296548397
Trimmed Mean ( 194 / 286 )10.92340425531910.0455447130556108239.839127803517
Trimmed Mean ( 195 / 286 )10.92521367521370.0454958225215287240.136633864435
Trimmed Mean ( 196 / 286 )10.92703862660940.0454450364949915240.445150215991
Trimmed Mean ( 197 / 286 )10.92887931034480.0453923041697833240.765026368059
Trimmed Mean ( 198 / 286 )10.93073593073590.0453375730913957241.096626603739
Trimmed Mean ( 199 / 286 )10.93260869565220.0452807890897581241.440330776501
Trimmed Mean ( 200 / 286 )10.93449781659390.0452218962085385241.796535160092
Trimmed Mean ( 201 / 286 )10.93640350877190.0451608366307987242.165653355358
Trimmed Mean ( 202 / 286 )10.93832599118940.0450975506007749242.548117258534
Trimmed Mean ( 203 / 286 )10.94026548672570.0450319763415338242.944378095954
Trimmed Mean ( 204 / 286 )10.940.0451223967168622242.451660284077
Trimmed Mean ( 205 / 286 )10.93973214285710.0452133520419140241.957997998373
Trimmed Mean ( 206 / 286 )10.93946188340810.0453048474521264241.463386340011
Trimmed Mean ( 207 / 286 )10.93918918918920.0453968881491174240.967820376954
Trimmed Mean ( 208 / 286 )10.93891402714930.0454894794017061240.471295143884
Trimmed Mean ( 209 / 286 )10.93863636363640.0455826265469502239.973805642146
Trimmed Mean ( 210 / 286 )10.93835616438360.0456763349911992239.475346839696
Trimmed Mean ( 211 / 286 )10.93807339449540.0457706102111658238.975913671062
Trimmed Mean ( 212 / 286 )10.93778801843320.0458654577550140238.475501037324
Trimmed Mean ( 213 / 286 )10.93750.0459608832434645237.974103806094
Trimmed Mean ( 214 / 286 )10.93720930232560.046056892370918237.471716811526
Trimmed Mean ( 215 / 286 )10.93691588785050.0461534909065962236.968334854328
Trimmed Mean ( 216 / 286 )10.93661971830990.0462506846957008236.463952701796
Trimmed Mean ( 217 / 286 )10.93632075471700.0463484796605908235.958565087862
Trimmed Mean ( 218 / 286 )10.93601895734600.0464468818019777235.452166713166
Trimmed Mean ( 219 / 286 )10.93571428571430.0465458972001396234.944752245134
Trimmed Mean ( 220 / 286 )10.93571428571430.0466455320161535234.442910457688
Trimmed Mean ( 221 / 286 )10.93509615384620.046745792493147233.926853533379
Trimmed Mean ( 222 / 286 )10.93478260869570.046846684957568233.416358459515
Trimmed Mean ( 223 / 286 )10.93446601941750.0469482158204736232.904825632353
Trimmed Mean ( 224 / 286 )10.93414634146340.0470503915788387232.392249555286
Trimmed Mean ( 225 / 286 )10.93382352941180.0471532188168828231.878624699466
Trimmed Mean ( 226 / 286 )10.93349753694580.047256704207416231.363945504055
Trimmed Mean ( 227 / 286 )10.93349753694580.0473608545132049230.855157689298
Trimmed Mean ( 228 / 286 )10.93283582089550.0474656765883571230.331401692844
Trimmed Mean ( 229 / 286 )10.93250.0475711773797247229.813525798071
Trimmed Mean ( 230 / 286 )10.93216080402010.0476773639283271229.294573006475
Trimmed Mean ( 231 / 286 )10.93181818181820.0477842433707931228.774537602074
Trimmed Mean ( 232 / 286 )10.93147208121830.0478918229408212228.253413839061
Trimmed Mean ( 233 / 286 )10.93112244897960.0480001099706591227.731195942289
Trimmed Mean ( 234 / 286 )10.93112244897960.0481091118926021227.215220130898
Trimmed Mean ( 235 / 286 )10.93041237113400.0482188362405087226.683454503437
Trimmed Mean ( 236 / 286 )10.93005181347150.0483292906513354226.157919269388
Trimmed Mean ( 237 / 286 )10.93005181347150.0484404828666883225.638787366175
Trimmed Mean ( 238 / 286 )10.92931937172770.048552420734393225.10349033917
Trimmed Mean ( 239 / 286 )10.92894736842110.0486651122100805224.574584791715
Trimmed Mean ( 240 / 286 )10.92857142857140.0487785653587899224.044543913633
Trimmed Mean ( 241 / 286 )10.92857142857140.0488927883565872223.521132582308
Trimmed Mean ( 242 / 286 )10.92780748663100.0490077894921986222.981032196332
Trimmed Mean ( 243 / 286 )10.92741935483870.0491235771686592222.447549316714
Trimmed Mean ( 244 / 286 )10.92741935483870.0492401599049743221.920874666672
Trimmed Mean ( 245 / 286 )10.92663043478260.049357546337795221.377099258592
Trimmed Mean ( 246 / 286 )10.92622950819670.0494757452231038220.840119919901
Trimmed Mean ( 247 / 286 )10.92582417582420.0495947654379125220.301962905786
Trimmed Mean ( 248 / 286 )10.92582417582420.0497146159819687219.770865368586
Trimmed Mean ( 249 / 286 )10.9250.0498353059794707219.222091352273
Trimmed Mean ( 250 / 286 )10.92458100558660.0499568446807895218.680364530459
Trimmed Mean ( 251 / 286 )10.92458100558660.050079241464195218.145896107418
Trimmed Mean ( 252 / 286 )10.92372881355930.0502025058375864217.593298009853
Trimmed Mean ( 253 / 286 )10.92329545454550.0503266474402237217.047945971759
Trimmed Mean ( 254 / 286 )10.92285714285710.0504516760444585216.501373179987
Trimmed Mean ( 255 / 286 )10.92241379310340.0505776015574614215.953573454733
Trimmed Mean ( 256 / 286 )10.92196531791910.0507044340229444215.404540616246
Trimmed Mean ( 257 / 286 )10.92151162790700.0508321836228751214.85426848734
Trimmed Mean ( 258 / 286 )10.92105263157890.0509608606791787214.302750896062
Trimmed Mean ( 259 / 286 )10.92058823529410.0510904756554266213.749981678516
Trimmed Mean ( 260 / 286 )10.92011834319530.0512210391585063213.195954681871
Trimmed Mean ( 261 / 286 )10.91964285714290.0513525619402696212.640663767544
Trimmed Mean ( 262 / 286 )10.91916167664670.0514850548991543212.084102814583
Trimmed Mean ( 263 / 286 )10.91867469879520.0516185290817765211.526265723250
Trimmed Mean ( 264 / 286 )10.91818181818180.0517529956844858210.967146418827
Trimmed Mean ( 265 / 286 )10.91768292682930.0518884660548808210.406738855644
Trimmed Mean ( 266 / 286 )10.91717791411040.0520249516932778209.845037021362
Trimmed Mean ( 267 / 286 )10.91666666666670.0521624642541265209.282034941496
Trimmed Mean ( 268 / 286 )10.91614906832300.0523010155473663208.717726684232
Trimmed Mean ( 269 / 286 )10.9156250.0524406175397154208.152106365512
Trimmed Mean ( 270 / 286 )10.91509433962260.0525812823558854207.585168154441
Trimmed Mean ( 271 / 286 )10.91455696202530.0527230222797124207.016906279009
Trimmed Mean ( 272 / 286 )10.91401273885350.0528658497551952206.447315032158
Trimmed Mean ( 273 / 286 )10.91346153846150.053009777387431205.876388778218
Trimmed Mean ( 274 / 286 )10.91290322580650.0531548179434377205.304121959724
Trimmed Mean ( 275 / 286 )10.91233766233770.0533009843528499204.730509104645
Trimmed Mean ( 276 / 286 )10.91176470588240.0534482897084783204.155544834047
Trimmed Mean ( 277 / 286 )10.91118421052630.0535967472667157203.57922387022
Trimmed Mean ( 278 / 286 )10.91059602649010.053746370447778203.001541045292
Trimmed Mean ( 279 / 286 )10.910.0538971728357606202.422491310365
Trimmed Mean ( 280 / 286 )10.90939597315440.0540491681784963201.842069745205
Trimmed Mean ( 281 / 286 )10.90878378378380.0542023703871934201.260271568515
Trimmed Mean ( 282 / 286 )10.90816326530610.0543567935358342200.677092148841
Trimmed Mean ( 283 / 286 )10.90753424657530.0545124518603134200.092527016132
Trimmed Mean ( 284 / 286 )10.90689655172410.0546693597572895199.506571874016
Trimmed Mean ( 285 / 286 )10.906250.0548275317827274198.919222612823
Trimmed Mean ( 286 / 286 )10.90559440559440.0549869826501004198.330475323408
Median11
Midrange50
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 observations858
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Mar/16/t1268746655u239zhm97fite4e/1pc8t1268746472.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Mar/16/t1268746655u239zhm97fite4e/1pc8t1268746472.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Mar/16/t1268746655u239zhm97fite4e/2v4q11268746472.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Mar/16/t1268746655u239zhm97fite4e/2v4q11268746472.ps (open in new window)


 
Parameters (Session):
 
Parameters (R input):
 
R code (references can be found in the software module):
geomean <- function(x) {
return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {
return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}
return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)
for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}
midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)
(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))
(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]
ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('http://www.xycoon.com/winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)
}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/method_8.htm','MS Excel (old versions)',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
 





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