Home » date » 2009 » Aug » 18 »

Trimmed mean plot Studio 100 kids

*Unverified author*
R Software Module: rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Tue, 18 Aug 2009 09:00:37 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Aug/18/t1250607779ih3ptou28g4te01.htm/, Retrieved Tue, 18 Aug 2009 17:03:01 +0200
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Aug/18/t1250607779ih3ptou28g4te01.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
6 6 6 6 6 6 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 etc...
 
Output produced by software:


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


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean10.72705314009660.0662817032379285161.840336262787
Geometric Mean10.5515741220713
Harmonic Mean10.3691147823007
Quadratic Mean10.8950859817959
Winsorized Mean ( 1 / 276 )10.72705314009660.0662817032379285161.840336262787
Winsorized Mean ( 2 / 276 )10.72705314009660.0662817032379285161.840336262787
Winsorized Mean ( 3 / 276 )10.72705314009660.0662817032379285161.840336262787
Winsorized Mean ( 4 / 276 )10.72222222222220.0658594993639639162.804490252306
Winsorized Mean ( 5 / 276 )10.72222222222220.0658594993639639162.804490252306
Winsorized Mean ( 6 / 276 )10.72222222222220.0658594993639639162.804490252306
Winsorized Mean ( 7 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 8 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 9 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 10 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 11 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 12 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 13 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 14 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 15 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 16 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 17 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 18 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 19 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 20 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 21 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 22 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 23 / 276 )10.73067632850240.0652001755472261164.580482160357
Winsorized Mean ( 24 / 276 )10.70169082125600.0631333910999381169.50920320937
Winsorized Mean ( 25 / 276 )10.70169082125600.0631333910999381169.50920320937
Winsorized Mean ( 26 / 276 )10.70169082125600.0631333910999381169.50920320937
Winsorized Mean ( 27 / 276 )10.70169082125600.0631333910999381169.50920320937
Winsorized Mean ( 28 / 276 )10.70169082125600.0631333910999381169.50920320937
Winsorized Mean ( 29 / 276 )10.70169082125600.0631333910999381169.50920320937
Winsorized Mean ( 30 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 31 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 32 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 33 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 34 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 35 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 36 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 37 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 38 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 39 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 40 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 41 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 42 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 43 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 44 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 45 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 46 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 47 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 48 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 49 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 50 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 51 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 52 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 53 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 54 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 55 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 56 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 57 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 58 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 59 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 60 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 61 / 276 )10.7379227053140.060858012677034176.442217433206
Winsorized Mean ( 62 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 63 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 64 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 65 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 66 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 67 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 68 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 69 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 70 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 71 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 72 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 73 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 74 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 75 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 76 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 77 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 78 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 79 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 80 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 81 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 82 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 83 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 84 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 85 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 86 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 87 / 276 )10.66304347826090.0565397494151569188.593751980839
Winsorized Mean ( 88 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 89 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 90 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 91 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 92 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 93 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 94 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 95 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 96 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 97 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 98 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 99 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 100 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 101 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 102 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 103 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 104 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 105 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 106 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 107 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 108 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 109 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 110 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 111 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 112 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 113 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 114 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 115 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 116 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 117 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 118 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 119 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 120 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 121 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 122 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 123 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 124 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 125 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 126 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 127 / 276 )10.55676328502420.0520666837289749202.754670145227
Winsorized Mean ( 128 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 129 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 130 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 131 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 132 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 133 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 134 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 135 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 136 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 137 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 138 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 139 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 140 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 141 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 142 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 143 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 144 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 145 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 146 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 147 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 148 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 149 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 150 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 151 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 152 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 153 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 154 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 155 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 156 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 157 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 158 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 159 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 160 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 161 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 162 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 163 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 164 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 165 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 166 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 167 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 168 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 169 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 170 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 171 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 172 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 173 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 174 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 175 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 176 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 177 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 178 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 179 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 180 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 181 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 182 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 183 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 184 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 185 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 186 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 187 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 188 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 189 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 190 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 191 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 192 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 193 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 194 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 195 / 276 )10.71135265700480.0437391084881948244.891883425009
Winsorized Mean ( 196 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 197 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 198 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 199 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 200 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 201 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 202 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 203 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 204 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 205 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 206 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 207 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 208 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 209 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 210 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 211 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 212 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 213 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 214 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 215 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 216 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 217 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 218 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 219 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 220 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 221 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 222 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 223 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 224 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 225 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 226 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 227 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 228 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 229 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 230 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 231 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 232 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 233 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 234 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 235 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 236 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 237 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 238 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 239 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 240 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 241 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 242 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 243 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 244 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 245 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 246 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 247 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 248 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 249 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 250 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 251 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 252 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 253 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 254 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 255 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 256 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 257 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 258 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 259 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 260 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 261 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 262 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 263 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 264 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 265 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 266 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 267 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 268 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 269 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 270 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 271 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 272 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 273 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 274 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 275 / 276 )10.94806763285020.0339395764193672322.575258381918
Winsorized Mean ( 276 / 276 )10.94806763285020.0339395764193672322.575258381918
Trimmed Mean ( 1 / 276 )10.72639225181600.0658861564921035162.801912008656
Trimmed Mean ( 2 / 276 )10.72572815533980.0654839344499055163.791749005932
Trimmed Mean ( 3 / 276 )10.72506082725060.0650748644744766164.811112767775
Trimmed Mean ( 4 / 276 )10.72439024390240.0646587667689228165.861348426722
Trimmed Mean ( 5 / 276 )10.72493887530560.0643466037703296166.674513445742
Trimmed Mean ( 6 / 276 )10.72549019607840.0640294318274362167.508751678203
Trimmed Mean ( 7 / 276 )10.72549019607840.0637071357822715168.356182778871
Trimmed Mean ( 8 / 276 )10.72536945812810.0634807671543213168.954628920202
Trimmed Mean ( 9 / 276 )10.72469135802470.0632509357911012169.557829048492
Trimmed Mean ( 10 / 276 )10.72400990099010.063017572531139170.174912651404
Trimmed Mean ( 11 / 276 )10.72332506203470.0627806061689503170.806332025163
Trimmed Mean ( 12 / 276 )10.72263681592040.0625399633694803171.452559902731
Trimmed Mean ( 13 / 276 )10.72194513715710.0622955685777948172.114090647837
Trimmed Mean ( 14 / 276 )10.72194513715710.0620473439236925172.802644869750
Trimmed Mean ( 15 / 276 )10.72055137844610.0617952091208765173.485154123774
Trimmed Mean ( 16 / 276 )10.71984924623120.0615390813602989174.195795732936
Trimmed Mean ( 17 / 276 )10.71914357682620.0612788751972528174.923961027711
Trimmed Mean ( 18 / 276 )10.71843434343430.0610145024317539175.670273725876
Trimmed Mean ( 19 / 276 )10.71772151898730.0607458719817087176.435388436182
Trimmed Mean ( 20 / 276 )10.71700507614210.0604728897483256177.219992640402
Trimmed Mean ( 21 / 276 )10.71628498727740.0601954584731706178.024808832607
Trimmed Mean ( 22 / 276 )10.71556122448980.0599134775862178178.850596830566
Trimmed Mean ( 23 / 276 )10.71483375959080.0596268430441822179.698156275880
Trimmed Mean ( 24 / 276 )10.71410256410260.059335447158353180.568329341296
Trimmed Mean ( 25 / 276 )10.71465295629820.0591451644997101181.158562106133
Trimmed Mean ( 26 / 276 )10.7152061855670.058951888742001181.761880988434
Trimmed Mean ( 27 / 276 )10.71576227390180.0587555609130101182.378690755194
Trimmed Mean ( 28 / 276 )10.71576227390180.0585561203577577182.999867621560
Trimmed Mean ( 29 / 276 )10.71688311688310.0583535046711536183.654489602248
Trimmed Mean ( 30 / 276 )10.71744791666670.0581476496270853184.314378747898
Trimmed Mean ( 31 / 276 )10.71671018276760.0580331755795056184.665238042776
Trimmed Mean ( 32 / 276 )10.71596858638740.0579168576597732185.023307882781
Trimmed Mean ( 33 / 276 )10.71522309711290.0577986638219134185.388768330841
Trimmed Mean ( 34 / 276 )10.71447368421050.0576785612683514185.761805575577
Trimmed Mean ( 35 / 276 )10.71372031662270.0575565164261651186.142612198681
Trimmed Mean ( 36 / 276 )10.71296296296300.0574324949223612186.531387456614
Trimmed Mean ( 37 / 276 )10.71220159151190.0573064615581254186.928337577546
Trimmed Mean ( 38 / 276 )10.71143617021280.0571783802819922187.333676074526
Trimmed Mean ( 39 / 276 )10.71066666666670.0570482141618779187.747624075917
Trimmed Mean ( 40 / 276 )10.70989304812830.0569159253559173188.170410674257
Trimmed Mean ( 41 / 276 )10.70911528150130.0567814750820389188.602273294743
Trimmed Mean ( 42 / 276 )10.70833333333330.056644823586211189.043458084669
Trimmed Mean ( 43 / 276 )10.70754716981130.056505930109286189.494220325234
Trimmed Mean ( 44 / 276 )10.70675675675680.0563647528523652189.954824867248
Trimmed Mean ( 45 / 276 )10.70596205962060.056221248940601190.425546592387
Trimmed Mean ( 46 / 276 )10.70516304347830.0560753743853492190.906670901785
Trimmed Mean ( 47 / 276 )10.70435967302450.0559270840445765191.398494233897
Trimmed Mean ( 48 / 276 )10.70355191256830.0557763315814217191.901324613710
Trimmed Mean ( 49 / 276 )10.70273972602740.0556230694208043192.415482235583
Trimmed Mean ( 50 / 276 )10.70192307692310.0554672487039641192.941300082155
Trimmed Mean ( 51 / 276 )10.70110192837470.0553088192408073193.479124581985
Trimmed Mean ( 52 / 276 )10.70027624309390.0551477294599283194.029316308825
Trimmed Mean ( 53 / 276 )10.69944598337950.0549839263561636194.592250725654
Trimmed Mean ( 54 / 276 )10.69861111111110.0548173554355248195.168318976909
Trimmed Mean ( 55 / 276 )10.69777158774370.0546479606573468195.757928732617
Trimmed Mean ( 56 / 276 )10.69777158774370.0544756843734751196.377002157546
Trimmed Mean ( 57 / 276 )10.69607843137250.0543004672642999196.979491526489
Trimmed Mean ( 58 / 276 )10.69522471910110.054122248271434197.612350940456
Trimmed Mean ( 59 / 276 )10.69436619718310.0539409645268119198.260566732494
Trimmed Mean ( 60 / 276 )10.69350282485880.0537565512779717198.924643985499
Trimmed Mean ( 61 / 276 )10.69350282485880.0535689418092613199.621319064585
Trimmed Mean ( 62 / 276 )10.69176136363640.0533780673586901200.302519231163
Trimmed Mean ( 63 / 276 )10.69230769230770.053291055168709200.639819543035
Trimmed Mean ( 64 / 276 )10.69285714285710.0532024557631707200.984277689288
Trimmed Mean ( 65 / 276 )10.69340974212030.0531122405022416201.336069444652
Trimmed Mean ( 66 / 276 )10.69396551724140.0530203800705817201.695376438369
Trimmed Mean ( 67 / 276 )10.69452449567720.0529268444563183202.062386404005
Trimmed Mean ( 68 / 276 )10.69508670520230.0528316029291755202.437293442333
Trimmed Mean ( 69 / 276 )10.69565217391300.0527346240177206202.820298298115
Trimmed Mean ( 70 / 276 )10.69622093023260.0526358754856802203.211608651641
Trimmed Mean ( 71 / 276 )10.69679300291550.0525353243072802203.611439425970
Trimmed Mean ( 72 / 276 )10.69736842105260.0524329366415593204.020013110876
Trimmed Mean ( 73 / 276 )10.69794721407620.0523286778056019204.437560104586
Trimmed Mean ( 74 / 276 )10.69852941176470.0522225122466348204.864319074464
Trimmed Mean ( 75 / 276 )10.69911504424780.0521144035129265205.300537337897
Trimmed Mean ( 76 / 276 )10.69970414201180.0520043142234256205.746471264726
Trimmed Mean ( 77 / 276 )10.70029673590500.0518922060360702206.202386702683
Trimmed Mean ( 78 / 276 )10.70089285714290.051778039614694206.668559427384
Trimmed Mean ( 79 / 276 )10.70149253731340.0516617745944546207.145275618583
Trimmed Mean ( 80 / 276 )10.70209580838320.0515433695456975207.632832364499
Trimmed Mean ( 81 / 276 )10.70270270270270.051422781936171208.131538196194
Trimmed Mean ( 82 / 276 )10.70331325301200.051299968091495208.641713654137
Trimmed Mean ( 83 / 276 )10.70392749244710.0511748831537848209.163691889260
Trimmed Mean ( 84 / 276 )10.70454545454550.0510474810383203209.697819301011
Trimmed Mean ( 85 / 276 )10.70516717325230.0509177143881465210.244456215113
Trimmed Mean ( 86 / 276 )10.70579268292680.0507855345264809210.803977603988
Trimmed Mean ( 87 / 276 )10.70642201834860.0506508914067941211.376773853036
Trimmed Mean ( 88 / 276 )10.70705521472390.0505137335604238211.963251576253
Trimmed Mean ( 89 / 276 )10.70923076923080.0504582442111956212.239465257783
Trimmed Mean ( 90 / 276 )10.71141975308640.0504013764952598212.522365417814
Trimmed Mean ( 91 / 276 )10.71362229102170.0503431030210639212.812116220548
Trimmed Mean ( 92 / 276 )10.71583850931680.050283395723122213.108887242260
Trimmed Mean ( 93 / 276 )10.71806853582550.0502222258408663213.412853699211
Trimmed Mean ( 94 / 276 )10.72031250.0501595638966609213.724196687317
Trimmed Mean ( 95 / 276 )10.72257053291540.0500953796729385214.043103434301
Trimmed Mean ( 96 / 276 )10.72484276729560.0500296421884161214.369767565094
Trimmed Mean ( 97 / 276 )10.72712933753940.0499623196733429214.704389381321
Trimmed Mean ( 98 / 276 )10.72943037974680.0498933795437341215.047176155745
Trimmed Mean ( 99 / 276 )10.73174603174600.0498227883745368215.398342442647
Trimmed Mean ( 100 / 276 )10.73407643312100.0497505118716747215.758110405140
Trimmed Mean ( 101 / 276 )10.73642172523960.0496765148429126216.126710160534
Trimmed Mean ( 102 / 276 )10.73878205128210.0496007611674807216.504380144929
Trimmed Mean ( 103 / 276 )10.74115755627010.0495232137643911216.891367498314
Trimmed Mean ( 104 / 276 )10.74354838709680.0494438345593779217.28792847154
Trimmed Mean ( 105 / 276 )10.74595469255660.0493625844503875217.694328856646
Trimmed Mean ( 106 / 276 )10.74837662337660.0492794232715374218.110844442139
Trimmed Mean ( 107 / 276 )10.74837662337660.0491943097554627218.488208835638
Trimmed Mean ( 108 / 276 )10.75326797385620.0491072014939582218.975377270872
Trimmed Mean ( 109 / 276 )10.75573770491800.0490180548968203219.424000555676
Trimmed Mean ( 110 / 276 )10.75822368421050.0489268251487877219.883952238767
Trimmed Mean ( 111 / 276 )10.76072607260730.0488334661644702220.355565922053
Trimmed Mean ( 112 / 276 )10.76072607260730.0487379305411491220.787504785868
Trimmed Mean ( 113 / 276 )10.7657807308970.0486401695093242221.335181178454
Trimmed Mean ( 114 / 276 )10.76833333333330.0485401328808724221.843919540992
Trimmed Mean ( 115 / 276 )10.77090301003340.0484377689946749222.365794989806
Trimmed Mean ( 116 / 276 )10.77348993288590.0483330246595588222.901215240939
Trimmed Mean ( 117 / 276 )10.77348993288590.0482258450943865223.396602211953
Trimmed Mean ( 118 / 276 )10.77871621621620.0481161738651157224.014408261809
Trimmed Mean ( 119 / 276 )10.78135593220340.0480039528186381224.593086593015
Trimmed Mean ( 120 / 276 )10.78401360544220.0478891220131911225.187122922649
Trimmed Mean ( 121 / 276 )10.78668941979520.0477716196451198225.797021326179
Trimmed Mean ( 122 / 276 )10.78668941979520.04765138197175226.366769933138
Trimmed Mean ( 123 / 276 )10.79209621993130.0475283432301139227.066535176286
Trimmed Mean ( 124 / 276 )10.79482758620690.0474024355512487227.727277315449
Trimmed Mean ( 125 / 276 )10.79757785467130.0472735888697656228.406137820795
Trimmed Mean ( 126 / 276 )10.80034722222220.047141730828363229.103748047455
Trimmed Mean ( 127 / 276 )10.80034722222220.0470067866769279229.761444798423
Trimmed Mean ( 128 / 276 )10.80594405594410.0468686791658418230.55789598226
Trimmed Mean ( 129 / 276 )10.80701754385960.0468793663670922230.528234089909
Trimmed Mean ( 130 / 276 )10.80809859154930.0468895763445427230.501092868313
Trimmed Mean ( 131 / 276 )10.80918727915190.0468992980498342230.476525846215
Trimmed Mean ( 132 / 276 )10.81028368794330.0469085201707465230.454587963849
Trimmed Mean ( 133 / 276 )10.81138790035590.0469172311238378230.435335619429
Trimmed Mean ( 134 / 276 )10.81250.0469254190468417230.418826717494
Trimmed Mean ( 135 / 276 )10.81362007168460.0469330717908115230.405120719196
Trimmed Mean ( 136 / 276 )10.81474820143880.046940176912002230.394278694626
Trimmed Mean ( 137 / 276 )10.81588447653430.04694672166348230.386363377275
Trimmed Mean ( 138 / 276 )10.81702898550720.0469526929864501230.381439220725
Trimmed Mean ( 139 / 276 )10.81818181818180.0469580775012876230.379572457693
Trimmed Mean ( 140 / 276 )10.81934306569340.0469628614982632230.380831161524
Trimmed Mean ( 141 / 276 )10.82051282051280.046967030927951230.385285310282
Trimmed Mean ( 142 / 276 )10.82169117647060.0469705713913034230.393006853526
Trimmed Mean ( 143 / 276 )10.82287822878230.0469734681293818230.40406978195
Trimmed Mean ( 144 / 276 )10.82407407407410.0469757060127275230.418550200000
Trimmed Mean ( 145 / 276 )10.82527881040890.0469772695303585230.436526401630
Trimmed Mean ( 146 / 276 )10.82649253731340.0469781427783765230.458078949361
Trimmed Mean ( 147 / 276 )10.82771535580520.0469783094481682230.483290756804
Trimmed Mean ( 148 / 276 )10.82894736842110.0469777528141823230.512247174834
Trimmed Mean ( 149 / 276 )10.83018867924530.0469764557212663230.545036081605
Trimmed Mean ( 150 / 276 )10.83143939393940.0469744005715423230.581747976604
Trimmed Mean ( 151 / 276 )10.83269961977190.0469715693108028230.622476078961
Trimmed Mean ( 152 / 276 )10.83396946564890.046967943414406230.667316430250
Trimmed Mean ( 153 / 276 )10.83524904214560.0469635038726478230.716368002009
Trimmed Mean ( 154 / 276 )10.83653846153850.0469582311755878230.769732808251
Trimmed Mean ( 155 / 276 )10.83783783783780.0469521052973053230.827516023224
Trimmed Mean ( 156 / 276 )10.83914728682170.0469451056795594230.889826104731
Trimmed Mean ( 157 / 276 )10.84046692607000.0469372112148268230.956774923298
Trimmed Mean ( 158 / 276 )10.8417968750.0469284002286882231.028477897531
Trimmed Mean ( 159 / 276 )10.84313725490200.0469186504615342231.105054136022
Trimmed Mean ( 160 / 276 )10.84448818897640.046907939049559231.186626586152
Trimmed Mean ( 161 / 276 )10.84584980237150.0468962425050093231.273322190217
Trimmed Mean ( 162 / 276 )10.84722222222220.0468835366956517231.365272049288
Trimmed Mean ( 163 / 276 )10.84860557768920.0468697968234244231.462611595265
Trimmed Mean ( 164 / 276 )10.850.0468549974022316231.565480771604
Trimmed Mean ( 165 / 276 )10.85140562249000.0468391122348414231.674024223245
Trimmed Mean ( 166 / 276 )10.85282258064520.0468221143888427231.788391496290
Trimmed Mean ( 167 / 276 )10.85425101214570.0468039761716151231.908737248021
Trimmed Mean ( 168 / 276 )10.85569105691060.0467846691042637232.035221467907
Trimmed Mean ( 169 / 276 )10.85714285714290.0467641638944668232.168009710262
Trimmed Mean ( 170 / 276 )10.85860655737700.0467424304081823232.307273339305
Trimmed Mean ( 171 / 276 )10.86008230452670.0467194376401549232.453189787383
Trimmed Mean ( 172 / 276 )10.86157024793390.0466951536831627232.605942827218
Trimmed Mean ( 173 / 276 )10.86307053941910.0466695456959383232.765722859062
Trimmed Mean ( 174 / 276 )10.86458333333330.0466425798696958232.932727213749
Trimmed Mean ( 175 / 276 )10.86610878661090.04661422139319233.107160472669
Trimmed Mean ( 176 / 276 )10.86764705882350.0465844344162303233.289234805804
Trimmed Mean ( 177 / 276 )10.86919831223630.0465531820115666233.479170329017
Trimmed Mean ( 178 / 276 )10.87076271186440.0465204261350589233.677195481920
Trimmed Mean ( 179 / 276 )10.87234042553190.0464861275840379233.883547427710
Trimmed Mean ( 180 / 276 )10.87393162393160.0464502459537553234.098472476495
Trimmed Mean ( 181 / 276 )10.87553648068670.0464127395918196234.322226533759
Trimmed Mean ( 182 / 276 )10.87715517241380.0463735655505019234.555075575725
Trimmed Mean ( 183 / 276 )10.87878787878790.0463326795367928234.797296153550
Trimmed Mean ( 184 / 276 )10.88043478260870.0462900358600794235.049175928421
Trimmed Mean ( 185 / 276 )10.8820960698690.0462455873773058235.311014239797
Trimmed Mean ( 186 / 276 )10.88377192982460.046199285435469235.583122709267
Trimmed Mean ( 187 / 276 )10.88546255506610.0461510798112918235.865825882642
Trimmed Mean ( 188 / 276 )10.88716814159290.0461009186479046236.159461913191
Trimmed Mean ( 189 / 276 )10.88888888888890.0460487483883531236.464383289144
Trimmed Mean ( 190 / 276 )10.8906250.0459945137057398236.780957608884
Trimmed Mean ( 191 / 276 )10.89237668161430.0459381574297879237.109568407534
Trimmed Mean ( 192 / 276 )10.89414414414410.0458796204696053237.450616039018
Trimmed Mean ( 193 / 276 )10.89592760181000.0458188417324060237.804518618018
Trimmed Mean ( 194 / 276 )10.89772727272730.0457557580379304238.171713026660
Trimmed Mean ( 195 / 276 )10.89954337899540.0456903040282837238.552655991264
Trimmed Mean ( 196 / 276 )10.90137614678900.045622412072892238.947825234922
Trimmed Mean ( 197 / 276 )10.90092165898620.0457155081079952238.451285135770
Trimmed Mean ( 198 / 276 )10.90046296296300.0458091529296708237.953820706924
Trimmed Mean ( 199 / 276 )10.90.045903351604355237.455427959772
Trimmed Mean ( 200 / 276 )10.89953271028040.045998109256671236.956102901113
Trimmed Mean ( 201 / 276 )10.89906103286380.0460934310700646236.455841534050
Trimmed Mean ( 202 / 276 )10.89858490566040.0461893222874377235.954639858929
Trimmed Mean ( 203 / 276 )10.89810426540280.0462857882117805235.452493874331
Trimmed Mean ( 204 / 276 )10.89761904761900.046382834206802234.949399578108
Trimmed Mean ( 205 / 276 )10.89712918660290.0464804656975562234.445352968479
Trimmed Mean ( 206 / 276 )10.89663461538460.0465786881710656233.940350045185
Trimmed Mean ( 207 / 276 )10.89613526570050.0466775071769388233.434386810694
Trimmed Mean ( 208 / 276 )10.89563106796120.046776928327984232.927459271474
Trimmed Mean ( 209 / 276 )10.89512195121950.0468769573008139232.419563439335
Trimmed Mean ( 210 / 276 )10.89460784313730.046977599836445231.910695332827
Trimmed Mean ( 211 / 276 )10.89408866995070.0470788617408864231.400850978722
Trimmed Mean ( 212 / 276 )10.89356435643560.04718074888572230.890026413564
Trimmed Mean ( 213 / 276 )10.89356435643560.0472832672086682230.389416796447
Trimmed Mean ( 214 / 276 )10.89303482587060.04738642271415229.876707334101
Trimmed Mean ( 215 / 276 )10.89195979899500.0474902214738226229.351631998575
Trimmed Mean ( 216 / 276 )10.89141414141410.0475946696271073228.836847208852
Trimmed Mean ( 217 / 276 )10.89086294416240.0476997733816981228.321062597357
Trimmed Mean ( 218 / 276 )10.89030612244900.0478055390140514227.804274296500
Trimmed Mean ( 219 / 276 )10.88974358974360.0479119728698546227.286478461738
Trimmed Mean ( 220 / 276 )10.88917525773200.0480190813644715226.767671273875
Trimmed Mean ( 221 / 276 )10.88860103626940.0481268709833629226.247848941469
Trimmed Mean ( 222 / 276 )10.88802083333330.0482353482824789225.727007703359
Trimmed Mean ( 223 / 276 )10.88802083333330.0483445198886226225.217270921657
Trimmed Mean ( 224 / 276 )10.88743455497380.0484543924997794224.694480588595
Trimmed Mean ( 225 / 276 )10.88624338624340.0485649728854122224.15833345422
Trimmed Mean ( 226 / 276 )10.88563829787230.0486762678867177223.633379683217
Trimmed Mean ( 227 / 276 )10.88502673796790.0487882844168408223.107388752752
Trimmed Mean ( 228 / 276 )10.88440860215050.048901029461044222.580357144043
Trimmed Mean ( 229 / 276 )10.88378378378380.0490145100768283222.052281390223
Trimmed Mean ( 230 / 276 )10.88315217391300.0491287333940014221.523158080071
Trimmed Mean ( 231 / 276 )10.88251366120220.0492437066146882220.992983861946
Trimmed Mean ( 232 / 276 )10.88186813186810.0493594370132815220.461755447901
Trimmed Mean ( 233 / 276 )10.88186813186810.0494759319363256219.942661128099
Trimmed Mean ( 234 / 276 )10.88121546961330.0495931988023287219.409429768469
Trimmed Mean ( 235 / 276 )10.87988826815640.0497112451014998218.861713198734
Trimmed Mean ( 236 / 276 )10.87921348314610.0498300783954021218.326236551735
Trimmed Mean ( 237 / 276 )10.87853107344630.0499497063165192217.789690383998
Trimmed Mean ( 238 / 276 )10.87784090909090.0500701365677249217.252071888750
Trimmed Mean ( 239 / 276 )10.87714285714290.0501913769216525216.713378358235
Trimmed Mean ( 240 / 276 )10.87643678160920.050313435219953216.173607189832
Trimmed Mean ( 241 / 276 )10.87572254335260.0504363193724374215.632755892493
Trimmed Mean ( 242 / 276 )10.8750.050560037356091215.090822093506
Trimmed Mean ( 243 / 276 )10.87426900584800.0506845972139545214.547803545611
Trimmed Mean ( 244 / 276 )10.87426900584800.0508100070538584214.018254205737
Trimmed Mean ( 245 / 276 )10.87352941176470.050936275047003213.473195708379
Trimmed Mean ( 246 / 276 )10.87202380952380.0510634094263714212.912218977470
Trimmed Mean ( 247 / 276 )10.87125748502990.0511914184849642212.364841740477
Trimmed Mean ( 248 / 276 )10.87048192771080.0513203105738428211.816370675889
Trimmed Mean ( 249 / 276 )10.86969696969700.0514500940999679211.266804460592
Trimmed Mean ( 250 / 276 )10.86890243902440.0515807775238186210.716141958221
Trimmed Mean ( 251 / 276 )10.86809815950920.0517123693567767210.164382229858
Trimmed Mean ( 252 / 276 )10.86728395061730.0518448781582591209.611524545286
Trimmed Mean ( 253 / 276 )10.86645962732920.0519783125325803209.057568394858
Trimmed Mean ( 254 / 276 )10.86645962732920.0521126811255275208.518529322151
Trimmed Mean ( 255 / 276 )10.8656250.0522479926206251207.962535113947
Trimmed Mean ( 256 / 276 )10.86392405063290.0523842557350696207.389107627616
Trimmed Mean ( 257 / 276 )10.86305732484080.052521479215309206.83075738039
Trimmed Mean ( 258 / 276 )10.86217948717950.0526596718322434206.271309889337
Trimmed Mean ( 259 / 276 )10.86129032258060.0527988423760191205.710766255621
Trimmed Mean ( 260 / 276 )10.86038961038960.0529389996503863205.149127904051
Trimmed Mean ( 261 / 276 )10.8594771241830.0530801524665921204.586396601212
Trimmed Mean ( 262 / 276 )10.85855263157890.0532223096367727204.022574474605
Trimmed Mean ( 263 / 276 )10.85761589403970.0533654799668105203.457664032861
Trimmed Mean ( 264 / 276 )10.85666666666670.0535096722486186202.89166818709
Trimmed Mean ( 265 / 276 )10.85570469798660.0536548952518097202.324590273437
Trimmed Mean ( 266 / 276 )10.85472972972970.0538011577147065201.756434076931
Trimmed Mean ( 267 / 276 )10.85374149659860.0539484683346469201.187203856687
Trimmed Mean ( 268 / 276 )10.85273972602740.054096835757531200.616904372573
Trimmed Mean ( 269 / 276 )10.85172413793100.0542462685665567200.045540913412
Trimmed Mean ( 270 / 276 )10.85069444444440.0543967752700843199.473119326833
Trimmed Mean ( 271 / 276 )10.84965034965040.0545483642885676198.899646050876
Trimmed Mean ( 272 / 276 )10.84859154929580.0547010439404811198.32512814746
Trimmed Mean ( 273 / 276 )10.84751773049650.0548548224271728197.749573337841
Trimmed Mean ( 274 / 276 )10.84642857142860.0550097078165604197.172990040193
Trimmed Mean ( 275 / 276 )10.84532374100720.0551657080255876196.595387409453
Trimmed Mean ( 276 / 276 )10.84420289855070.0553228308013481196.016775379587
Median10
Midrange11
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 observations828
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250607779ih3ptou28g4te01/1n66k1250607626.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250607779ih3ptou28g4te01/1n66k1250607626.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250607779ih3ptou28g4te01/2wzzq1250607626.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250607779ih3ptou28g4te01/2wzzq1250607626.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