Home » date » 2009 » Aug » 18 »

Opgave 5 oef. 1 - rek gem. zonder extremen - Alain Piscaer

*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 07:38:38 -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/t1250602781xjkubqmv6mmm4dj.htm/, Retrieved Tue, 18 Aug 2009 15:39:44 +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/t1250602781xjkubqmv6mmm4dj.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
8 10 10 13 14 12 11 8 8 10 10 12 12 12 11 12 12 12 12 12 12 10 12 10 11 10 10 12 10 12 7 12 18 12 11 13 10 10 10 8 12 10 10 8 14 9 8 12 15 14 1 9 7 8 12 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 10 12 9 14 12 12 13 13 14 12 12 10 11 12 14 10 12 12 6 12 10 12 12 12 9 12 12 13 8 12 10 10 10 9 12 9 10 8 12 10 8 8 9 12 12 10 10 9 11 10 9 15 10 8 10 8 9 9 6 16 12 12 12 12 10 12 8 9 12 12 8 14 10 12 8 11 10 12 12 12 12 8 10 7 10 10 12 11 9 10 12 14 13 10 11 10 10 8 10 10 10 8 8 4 14 8 12 12 10 8 12 12 10 10 12 12 9 11 14 10 8 12 8 10 11 12 10 10 12 8 9 12 8 8 10 10 10 14 10 12 12 13 9 12 12 10 12 6 8 12 10 9 11 11 9 10 15 12 7 7 10 9 10 10 9 12 10 9 12 10 7 12 10 10 12 8 12 10 10 9 8 8 12 12 10 12 10 9 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 time14 seconds
R Server'George Udny Yule' @ 72.249.76.132


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean10.70357142857140.0729370275372731146.750858788447
Geometric Mean10.4449168545022
Harmonic Mean9.96662563607985
Quadratic Mean10.9100761640220
Winsorized Mean ( 1 / 280 )10.70119047619050.0726134647575456147.371985511523
Winsorized Mean ( 2 / 280 )10.70119047619050.0726134647575456147.371985511523
Winsorized Mean ( 3 / 280 )10.70119047619050.0716693705827403149.313303426270
Winsorized Mean ( 4 / 280 )10.71071428571430.0704382868967727152.058131416666
Winsorized Mean ( 5 / 280 )10.71071428571430.069219083571589154.736435865073
Winsorized Mean ( 6 / 280 )10.71071428571430.069219083571589154.736435865073
Winsorized Mean ( 7 / 280 )10.71904761904760.0684666951524874156.558566105380
Winsorized Mean ( 8 / 280 )10.71904761904760.0684666951524874156.558566105380
Winsorized Mean ( 9 / 280 )10.70833333333330.067568062590832158.482172238372
Winsorized Mean ( 10 / 280 )10.70833333333330.067568062590832158.482172238372
Winsorized Mean ( 11 / 280 )10.70833333333330.067568062590832158.482172238372
Winsorized Mean ( 12 / 280 )10.70833333333330.067568062590832158.482172238372
Winsorized Mean ( 13 / 280 )10.70833333333330.067568062590832158.482172238372
Winsorized Mean ( 14 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 15 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 16 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 17 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 18 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 19 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 20 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 21 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 22 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 23 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 24 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 25 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 26 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 27 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 28 / 280 )10.7250.0663167822083868161.723769502249
Winsorized Mean ( 29 / 280 )10.69047619047620.0639204337717805167.246615200471
Winsorized Mean ( 30 / 280 )10.69047619047620.0639204337717805167.246615200471
Winsorized Mean ( 31 / 280 )10.69047619047620.0639204337717805167.246615200471
Winsorized Mean ( 32 / 280 )10.69047619047620.0639204337717805167.246615200471
Winsorized Mean ( 33 / 280 )10.69047619047620.0639204337717805167.246615200471
Winsorized Mean ( 34 / 280 )10.69047619047620.0639204337717805167.246615200471
Winsorized Mean ( 35 / 280 )10.69047619047620.0639204337717805167.246615200471
Winsorized Mean ( 36 / 280 )10.69047619047620.0639204337717805167.246615200471
Winsorized Mean ( 37 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 38 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 39 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 40 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 41 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 42 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 43 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 44 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 45 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 46 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 47 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 48 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 49 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 50 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 51 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 52 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 53 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 54 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 55 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 56 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 57 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 58 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 59 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 60 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 61 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 62 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 63 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 64 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 65 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 66 / 280 )10.73452380952380.0612250638375715175.328911669283
Winsorized Mean ( 67 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 68 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 69 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 70 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 71 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 72 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 73 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 74 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 75 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 76 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 77 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 78 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 79 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 80 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 81 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 82 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 83 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 84 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 85 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 86 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 87 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 88 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 89 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 90 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 91 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 92 / 280 )10.65476190476190.0567019403621953187.908241529345
Winsorized Mean ( 93 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 94 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 95 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 96 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 97 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 98 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 99 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 100 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 101 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 102 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 103 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 104 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 105 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 106 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 107 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 108 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 109 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 110 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 111 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 112 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 113 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 114 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 115 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 116 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 117 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 118 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 119 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 120 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 121 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 122 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 123 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 124 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 125 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 126 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 127 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 128 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 129 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 130 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 131 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 132 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 133 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 134 / 280 )10.54404761904760.0520913202425303202.414674267343
Winsorized Mean ( 135 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 136 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 137 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 138 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 139 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 140 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 141 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 142 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 143 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 144 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 145 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 146 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 147 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 148 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 149 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 150 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 151 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 152 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 153 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 154 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 155 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 156 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 157 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 158 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 159 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 160 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 161 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 162 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 163 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 164 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 165 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 166 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 167 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 168 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 169 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 170 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 171 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 172 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 173 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 174 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 175 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 176 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 177 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 178 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 179 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 180 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 181 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 182 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 183 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 184 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 185 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 186 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 187 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 188 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 189 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 190 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 191 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 192 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 193 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 194 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 195 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 196 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 197 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 198 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 199 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 200 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 201 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 202 / 280 )10.70476190476190.0435847078199222245.608206185309
Winsorized Mean ( 203 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 204 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 205 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 206 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 207 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 208 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 209 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 210 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 211 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 212 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 213 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 214 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 215 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 216 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 217 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 218 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 219 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 220 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 221 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 222 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 223 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 224 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 225 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 226 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 227 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 228 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 229 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 230 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 231 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 232 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 233 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 234 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 235 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 236 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 237 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 238 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 239 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 240 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 241 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 242 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 243 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 244 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 245 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 246 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 247 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 248 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 249 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 250 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 251 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 252 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 253 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 254 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 255 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 256 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 257 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 258 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 259 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 260 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 261 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 262 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 263 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 264 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 265 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 266 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 267 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 268 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 269 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 270 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 271 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 272 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 273 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 274 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 275 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 276 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 277 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 278 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 279 / 280 )10.94642857142860.0337042186378017324.779182364767
Winsorized Mean ( 280 / 280 )10.94642857142860.0337042186378017324.779182364767
Trimmed Mean ( 1 / 280 )10.70405727923630.071328743684903150.066533156981
Trimmed Mean ( 2 / 280 )10.70693779904310.0700072212822872152.940476752676
Trimmed Mean ( 3 / 280 )10.70983213429260.0686466231257335156.013969029130
Trimmed Mean ( 4 / 280 )10.71274038461540.0675876903556048158.501353253108
Trimmed Mean ( 5 / 280 )10.71325301204820.0668372014681254160.288772969606
Trimmed Mean ( 6 / 280 )10.71376811594200.0663351007237627161.509788920907
Trimmed Mean ( 7 / 280 )10.71428571428570.0658238391105193162.772118112045
Trimmed Mean ( 8 / 280 )10.71359223300970.0654207758574195163.764371372778
Trimmed Mean ( 9 / 280 )10.71289537712900.0650108430106202164.786286118131
Trimmed Mean ( 10 / 280 )10.71341463414630.0647041207746409165.575461128052
Trimmed Mean ( 11 / 280 )10.71393643031780.0643925127636376166.384816657877
Trimmed Mean ( 12 / 280 )10.71446078431370.0640759081544056167.215121766121
Trimmed Mean ( 13 / 280 )10.71498771498770.0637541922326232168.067186482285
Trimmed Mean ( 14 / 280 )10.71551724137930.0634272461959453168.941864640882
Trimmed Mean ( 15 / 280 )10.71481481481480.0631968209794416169.546737458525
Trimmed Mean ( 16 / 280 )10.71410891089110.0629628524775006170.16555777424
Trimmed Mean ( 17 / 280 )10.71339950372210.0627252691424452170.798780940941
Trimmed Mean ( 18 / 280 )10.71268656716420.0624839972823566171.446882931561
Trimmed Mean ( 19 / 280 )10.71197007481300.0622389609699356172.110361546481
Trimmed Mean ( 20 / 280 )10.711250.0619900819462245172.789737708233
Trimmed Mean ( 21 / 280 )10.71052631578950.061737279518826173.485556851002
Trimmed Mean ( 22 / 280 )10.70979899497490.061480470454225174.198390413242
Trimmed Mean ( 23 / 280 )10.70906801007560.061219568863783174.928837442548
Trimmed Mean ( 24 / 280 )10.70833333333330.0609544860829391175.677526322883
Trimmed Mean ( 25 / 280 )10.70759493670890.0606851305431097176.445116635324
Trimmed Mean ( 26 / 280 )10.70685279187820.0604114076357318177.232301164678
Trimmed Mean ( 27 / 280 )10.70685279187820.0601332195678456178.052212551136
Trimmed Mean ( 28 / 280 )10.70535714285710.0598504652085546178.868403203773
Trimmed Mean ( 29 / 280 )10.70460358056270.0595630399256403179.718892687924
Trimmed Mean ( 30 / 280 )10.70512820512820.0593761313835582180.293460615936
Trimmed Mean ( 31 / 280 )10.70565552699230.0591862951293893180.880649879981
Trimmed Mean ( 32 / 280 )10.70618556701030.0589934740360882181.480845838321
Trimmed Mean ( 33 / 280 )10.70671834625320.0587976093668795182.094450123754
Trimmed Mean ( 34 / 280 )10.70725388601040.0585986407117333182.721881531058
Trimmed Mean ( 35 / 280 )10.70779220779220.0583965059205253183.363576964090
Trimmed Mean ( 36 / 280 )10.70833333333330.0581911410326647184.019992447345
Trimmed Mean ( 37 / 280 )10.70887728459530.0579824802029553184.691604207187
Trimmed Mean ( 38 / 280 )10.70811518324610.05786566005038185.051292492355
Trimmed Mean ( 39 / 280 )10.70734908136480.0577469560480722185.418415343856
Trimmed Mean ( 40 / 280 )10.70657894736840.057626335214023185.793160498658
Trimmed Mean ( 41 / 280 )10.70580474934040.0575037637849472186.175722155822
Trimmed Mean ( 42 / 280 )10.70502645502650.057379207191311186.566301261958
Trimmed Mean ( 43 / 280 )10.70424403183020.0572526300313193186.965105812163
Trimmed Mean ( 44 / 280 )10.70345744680850.0571239960438097187.372351167446
Trimmed Mean ( 45 / 280 )10.70266666666670.0569932680799953187.788260389709
Trimmed Mean ( 46 / 280 )10.70187165775400.0568604080739941188.213064595445
Trimmed Mean ( 47 / 280 )10.70107238605900.0567253770120814188.647003329389
Trimmed Mean ( 48 / 280 )10.70026881720430.0565881349005951189.090324959478
Trimmed Mean ( 49 / 280 )10.69946091644200.0564486407324198189.543287094548
Trimmed Mean ( 50 / 280 )10.69864864864860.056306852451971190.006157026349
Trimmed Mean ( 51 / 280 )10.69783197831980.056162726918596190.479212197541
Trimmed Mean ( 52 / 280 )10.69701086956520.0560162198683005190.962740697514
Trimmed Mean ( 53 / 280 )10.69618528610350.0558672858737065191.457041787985
Trimmed Mean ( 54 / 280 )10.69618528610350.0557158783021373191.977325172907
Trimmed Mean ( 55 / 280 )10.69452054794520.0555619492717213192.479218028232
Trimmed Mean ( 56 / 280 )10.69368131868130.0554054496053963193.007752754339
Trimmed Mean ( 57 / 280 )10.69368131868130.0552463287826886193.563654894516
Trimmed Mean ( 58 / 280 )10.69198895027620.0550845348891313194.101465534674
Trimmed Mean ( 59 / 280 )10.69113573407200.0549200145631787194.667387092063
Trimmed Mean ( 60 / 280 )10.69027777777780.0547527129404582195.246540375143
Trimmed Mean ( 61 / 280 )10.68941504178270.054582573595195195.839337314130
Trimmed Mean ( 62 / 280 )10.68854748603350.0544095384786277196.446207501503
Trimmed Mean ( 63 / 280 )10.6876750700280.0542335478542219197.067599168621
Trimmed Mean ( 64 / 280 )10.68679775280900.0540545402294716197.703980228886
Trimmed Mean ( 65 / 280 )10.68591549295770.0538724522840643198.355839392867
Trimmed Mean ( 66 / 280 )10.68502824858760.0536872187941644199.023687361302
Trimmed Mean ( 67 / 280 )10.68413597733710.0534987725525527199.70805810249
Trimmed Mean ( 68 / 280 )10.68465909090910.0534136778160246200.036011894010
Trimmed Mean ( 69 / 280 )10.68518518518520.0533270295024705200.370905427803
Trimmed Mean ( 70 / 280 )10.68571428571430.0532387997556473200.712907405107
Trimmed Mean ( 71 / 280 )10.68624641833810.0531489600679915201.062192085557
Trimmed Mean ( 72 / 280 )10.68678160919540.0530574812605533201.418939521743
Trimmed Mean ( 73 / 280 )10.68731988472620.0529643334621361201.783335805906
Trimmed Mean ( 74 / 280 )10.68786127167630.0528694860876022202.15557332952
Trimmed Mean ( 75 / 280 )10.68840579710140.0527729078153017202.535851056559
Trimmed Mean ( 76 / 280 )10.68895348837210.0526745665635824202.924374811318
Trimmed Mean ( 77 / 280 )10.68950437317780.0525744294663333203.321357581693
Trimmed Mean ( 78 / 280 )10.69005847953220.0524724628475112203.727019838925
Trimmed Mean ( 79 / 280 )10.69061583577710.0523686321945991204.141589874858
Trimmed Mean ( 80 / 280 )10.69117647058820.0522629021309403204.565304157859
Trimmed Mean ( 81 / 280 )10.69174041297940.0521552363868873204.998407708635
Trimmed Mean ( 82 / 280 )10.69230769230770.0520455977697037205.441154497255
Trimmed Mean ( 83 / 280 )10.69287833827890.0519339481321518205.89380786282
Trimmed Mean ( 84 / 280 )10.69345238095240.0518202483396928206.356640957305
Trimmed Mean ( 85 / 280 )10.69402985074630.0517044582362240206.829937215241
Trimmed Mean ( 86 / 280 )10.69461077844310.0515865366082715207.313990851022
Trimmed Mean ( 87 / 280 )10.69519519519520.0514664411475514207.809107385775
Trimmed Mean ( 88 / 280 )10.69578313253010.0513441284118052208.315604205892
Trimmed Mean ( 89 / 280 )10.69637462235650.0512195537838117208.833811155480
Trimmed Mean ( 90 / 280 )10.69696969696970.0510926714284679209.364071165195
Trimmed Mean ( 91 / 280 )10.69756838905770.0509634342478255209.906740920118
Trimmed Mean ( 92 / 280 )10.69817073170730.0508317938339604210.462191569559
Trimmed Mean ( 93 / 280 )10.69877675840980.0506977004195455211.030809481944
Trimmed Mean ( 94 / 280 )10.70092024539880.0506449002437515211.293144895059
Trimmed Mean ( 95 / 280 )10.70307692307690.0505907696292665211.56185212263
Trimmed Mean ( 96 / 280 )10.70524691358020.050535282315907211.837085358689
Trimmed Mean ( 97 / 280 )10.70743034055730.0504784114044473212.119003800780
Trimmed Mean ( 98 / 280 )10.70962732919250.0504201293368407212.407771857247
Trimmed Mean ( 99 / 280 )10.71183800623050.0503604078756694212.703559365049
Trimmed Mean ( 100 / 280 )10.71406250.0502992180827876213.006541818716
Trimmed Mean ( 101 / 280 )10.71630094043890.050236530297118213.316900611141
Trimmed Mean ( 102 / 280 )10.71855345911950.05017231411156213.634823286931
Trimmed Mean ( 103 / 280 )10.72082018927440.0501065383489667213.960503809091
Trimmed Mean ( 104 / 280 )10.72310126582280.0500391710371433214.29414283988
Trimmed Mean ( 105 / 280 )10.72539682539680.0499701793828183214.635948036733
Trimmed Mean ( 106 / 280 )10.72770700636940.0498995297445351214.986134364208
Trimmed Mean ( 107 / 280 )10.73003194888180.0498271876044084215.344924422996
Trimmed Mean ( 108 / 280 )10.73003194888180.0497531175386877215.665519663933
Trimmed Mean ( 109 / 280 )10.73472668810290.0496772831870628216.089246420353
Trimmed Mean ( 110 / 280 )10.73709677419350.0495996472206488216.475264963651
Trimmed Mean ( 111 / 280 )10.73948220064720.0495201713085754216.870861244123
Trimmed Mean ( 112 / 280 )10.74188311688310.0494388160831097217.276301657899
Trimmed Mean ( 113 / 280 )10.74429967426710.0493555411032286217.691862637978
Trimmed Mean ( 114 / 280 )10.74429967426710.049270304816558218.068463636871
Trimmed Mean ( 115 / 280 )10.74918032786890.0491830645195863218.554505150613
Trimmed Mean ( 116 / 280 )10.75164473684210.0490937763160558219.002194241999
Trimmed Mean ( 117 / 280 )10.75412541254130.0490023950734272219.461220138869
Trimmed Mean ( 118 / 280 )10.75662251655630.0489088743773069219.931917336197
Trimmed Mean ( 119 / 280 )10.75913621262460.0488131664837191220.414633748727
Trimmed Mean ( 120 / 280 )10.76166666666670.048715222269093220.909731402259
Trimmed Mean ( 121 / 280 )10.76166666666670.0486149911778326221.365188102179
Trimmed Mean ( 122 / 280 )10.76677852348990.0485124211673193221.938593548141
Trimmed Mean ( 123 / 280 )10.76936026936030.0484074586501944222.473159501775
Trimmed Mean ( 124 / 280 )10.77195945945950.0483000484337498223.021711339166
Trimmed Mean ( 125 / 280 )10.77457627118640.0481901336562489223.584693664556
Trimmed Mean ( 126 / 280 )10.77721088435370.0480776557199816224.162570386613
Trimmed Mean ( 127 / 280 )10.77721088435370.0479625542208447224.700520216872
Trimmed Mean ( 128 / 280 )10.78253424657530.0478447668742216225.364965721777
Trimmed Mean ( 129 / 280 )10.78522336769760.0477242294369184225.990518756378
Trimmed Mean ( 130 / 280 )10.78793103448280.047600875624894226.633037583052
Trimmed Mean ( 131 / 280 )10.79065743944640.047474637026498227.293100385866
Trimmed Mean ( 132 / 280 )10.79340277777780.0473454430109131227.971312366639
Trimmed Mean ( 133 / 280 )10.79616724738680.047213220631465228.668307372188
Trimmed Mean ( 134 / 280 )10.79895104895100.0470778945234424229.384749642398
Trimmed Mean ( 135 / 280 )10.80175438596490.0469393867960341230.121335689829
Trimmed Mean ( 136 / 280 )10.80281690140850.0469502198005804230.090869591092
Trimmed Mean ( 137 / 280 )10.80388692579510.0469605739164111230.062923528698
Trimmed Mean ( 138 / 280 )10.80496453900710.0469704380203928230.037551157517
Trimmed Mean ( 139 / 280 )10.80604982206410.0469798007230314230.014807550397
Trimmed Mean ( 140 / 280 )10.80714285714290.0469886503610238229.994749244962
Trimmed Mean ( 141 / 280 )10.80824372759860.0469969749895624229.977434292292
Trimmed Mean ( 142 / 280 )10.80935251798560.047004762374384229.962922307556
Trimmed Mean ( 143 / 280 )10.81046931407940.0470119999835521229.95127452271
Trimmed Mean ( 144 / 280 )10.81159420289860.0470186749789637229.942553841334
Trimmed Mean ( 145 / 280 )10.81272727272730.047024774207568229.93682489574
Trimmed Mean ( 146 / 280 )10.81386861313870.0470302841922862229.934154106438
Trimmed Mean ( 147 / 280 )10.81501831501830.0470351911226204229.934609744088
Trimmed Mean ( 148 / 280 )10.81617647058820.0470394808449396229.938261994059
Trimmed Mean ( 149 / 280 )10.81734317343170.0470431388524284229.945183023716
Trimmed Mean ( 150 / 280 )10.81851851851850.0470461502746856229.955447052587
Trimmed Mean ( 151 / 280 )10.81970260223050.0470484998669576229.969130425542
Trimmed Mean ( 152 / 280 )10.82089552238810.0470501719989927229.986311689142
Trimmed Mean ( 153 / 280 )10.82209737827720.0470511506434981230.00707167132
Trimmed Mean ( 154 / 280 )10.82330827067670.0470514193641861230.031493564571
Trimmed Mean ( 155 / 280 )10.82452830188680.0470509613033885230.05966301282
Trimmed Mean ( 156 / 280 )10.82575757575760.0470497591692244230.091668202178
Trimmed Mean ( 157 / 280 )10.82699619771860.0470477952222988230.12759995578
Trimmed Mean ( 158 / 280 )10.82824427480920.0470450512619148230.16755183292
Trimmed Mean ( 159 / 280 )10.82950191570880.0470415086117756230.211620232731
Trimmed Mean ( 160 / 280 )10.83076923076920.0470371481051557230.25990450263
Trimmed Mean ( 161 / 280 )10.83204633204630.0470319500695171230.312507051816
Trimmed Mean ( 162 / 280 )10.83333333333330.0470258943105453230.369533470074
Trimmed Mean ( 163 / 280 )10.83463035019460.0470189600955807230.431092652194
Trimmed Mean ( 164 / 280 )10.83593750.0470111261364157230.497296928317
Trimmed Mean ( 165 / 280 )10.83725490196080.047002370571431230.568262200543
Trimmed Mean ( 166 / 280 )10.83858267716540.0469926709470386230.644108086144
Trimmed Mean ( 167 / 280 )10.83992094861660.0469820041984012230.724958067785
Trimmed Mean ( 168 / 280 )10.84126984126980.0469703466293933230.810939651136
Trimmed Mean ( 169 / 280 )10.84262948207170.0469576738917678230.902184530323
Trimmed Mean ( 170 / 280 )10.8440.0469439609634922230.998828761664
Trimmed Mean ( 171 / 280 )10.84538152610440.046929182126213231.101012946197
Trimmed Mean ( 172 / 280 )10.84677419354840.0469133109418067231.20888242152
Trimmed Mean ( 173 / 280 )10.84817813765180.0468963202279734231.322587463503
Trimmed Mean ( 174 / 280 )10.84959349593500.0468781820328268231.442283498483
Trimmed Mean ( 175 / 280 )10.85102040816330.0468588676084279231.568131326580
Trimmed Mean ( 176 / 280 )10.85245901639340.0468383473832141231.700297356835
Trimmed Mean ( 177 / 280 )10.85390946502060.0468165909332645231.838953854895
Trimmed Mean ( 178 / 280 )10.85537190082640.0467935669523442231.984279204059
Trimmed Mean ( 179 / 280 )10.85684647302900.0467692432206644232.136458180535
Trimmed Mean ( 180 / 280 )10.85833333333330.0467435865722923232.295682243812
Trimmed Mean ( 181 / 280 )10.85983263598330.0467165628611395232.462149843153
Trimmed Mean ( 182 / 280 )10.86134453781510.0466881369254556232.636066741254
Trimmed Mean ( 183 / 280 )10.86286919831220.0466582725507462232.81764635623
Trimmed Mean ( 184 / 280 )10.86440677966100.0466269324310306233.007110123133
Trimmed Mean ( 185 / 280 )10.86595744680850.0465940781283506233.204687876355
Trimmed Mean ( 186 / 280 )10.86752136752140.0465596700304338233.410618254335
Trimmed Mean ( 187 / 280 )10.86909871244640.0465236673064087233.625149128111
Trimmed Mean ( 188 / 280 )10.87068965517240.0464860278604645233.848538055404
Trimmed Mean ( 189 / 280 )10.87229437229440.0464467082833384234.081052762022
Trimmed Mean ( 190 / 280 )10.87391304347830.0464056638015068234.322971652550
Trimmed Mean ( 191 / 280 )10.87554585152840.0463628482239488234.574584352447
Trimmed Mean ( 192 / 280 )10.87719298245610.0463182138863396234.836192283833
Trimmed Mean ( 193 / 280 )10.87885462555070.0462717115925242235.108109277468
Trimmed Mean ( 194 / 280 )10.88053097345130.0462232905531074235.390662223632
Trimmed Mean ( 195 / 280 )10.88222222222220.0461728983209896235.684191764832
Trimmed Mean ( 196 / 280 )10.88392857142860.0461204807236594235.989053033552
Trimmed Mean ( 197 / 280 )10.88565022421520.0460659817920464236.305616438522
Trimmed Mean ( 198 / 280 )10.88738738738740.0460093436857183236.634268503311
Trimmed Mean ( 199 / 280 )10.88914027149320.0459505066141933236.975412761385
Trimmed Mean ( 200 / 280 )10.89090909090910.0458894087541192237.329470712160
Trimmed Mean ( 201 / 280 )10.89269406392690.045825986162054237.696882843005
Trimmed Mean ( 202 / 280 )10.89449541284400.04576017268256238.078109722609
Trimmed Mean ( 203 / 280 )10.89631336405530.045691899851302238.473633171653
Trimmed Mean ( 204 / 280 )10.89583333333330.0457852638784168237.976860027875
Trimmed Mean ( 205 / 280 )10.89534883720930.0458791770517218237.479168925076
Trimmed Mean ( 206 / 280 )10.89485981308410.0459736443937117236.980556072129
Trimmed Mean ( 207 / 280 )10.89436619718310.0460686709829766236.481017679212
Trimmed Mean ( 208 / 280 )10.89386792452830.0461642619547486235.9805499589
Trimmed Mean ( 209 / 280 )10.89336492891000.046260422501445235.479149127306
Trimmed Mean ( 210 / 280 )10.89285714285710.0463571578732046234.976811405288
Trimmed Mean ( 211 / 280 )10.89234449760770.0464544733784176234.47353301971
Trimmed Mean ( 212 / 280 )10.89182692307690.0465523743842491233.969310204769
Trimmed Mean ( 213 / 280 )10.89130434782610.0466508663171524233.464139203383
Trimmed Mean ( 214 / 280 )10.89077669902910.0467499546633739232.958016268655
Trimmed Mean ( 215 / 280 )10.89077669902910.046849644969447232.462310144112
Trimmed Mean ( 216 / 280 )10.89024390243900.0469499428426740231.954359112459
Trimmed Mean ( 217 / 280 )10.88916256157640.0470508539515944231.433898580864
Trimmed Mean ( 218 / 280 )10.88861386138610.0471523840264393230.923930702649
Trimmed Mean ( 219 / 280 )10.88805970149250.047254538859569230.412992365658
Trimmed Mean ( 220 / 280 )10.88750.0473573243058931229.901079919018
Trimmed Mean ( 221 / 280 )10.88693467336680.0474607462832715229.388189734474
Trimmed Mean ( 222 / 280 )10.88636363636360.0475648107728935228.874318208528
Trimmed Mean ( 223 / 280 )10.88578680203050.0476695238196345228.359461764683
Trimmed Mean ( 224 / 280 )10.88520408163270.047774891532387227.843616855801
Trimmed Mean ( 225 / 280 )10.88461538461540.0478809200843647227.326779966572
Trimmed Mean ( 226 / 280 )10.88402061855670.0479876157133763226.8089476161
Trimmed Mean ( 227 / 280 )10.88341968911920.0480949847220678226.290116360624
Trimmed Mean ( 228 / 280 )10.88341968911920.0482030334781297225.782879288232
Trimmed Mean ( 229 / 280 )10.88281250.0483117684144662225.262143307123
Trimmed Mean ( 230 / 280 )10.88157894736840.0484211960293246224.727595344369
Trimmed Mean ( 231 / 280 )10.88095238095240.0485313228863804224.204734876616
Trimmed Mean ( 232 / 280 )10.88031914893620.0486421556147748223.680858946788
Trimmed Mean ( 233 / 280 )10.87967914438500.0487537009091023223.155964398875
Trimmed Mean ( 234 / 280 )10.87903225806450.0488659655293427222.630048137122
Trimmed Mean ( 235 / 280 )10.87837837837840.0489789563007348222.103107130014
Trimmed Mean ( 236 / 280 )10.87771739130430.0490926801135864221.575138414452
Trimmed Mean ( 237 / 280 )10.87704918032790.049207143923017221.046139100141
Trimmed Mean ( 238 / 280 )10.87637362637360.0493223547486272220.516106374186
Trimmed Mean ( 239 / 280 )10.87569060773480.0494383196740893219.985037505932
Trimmed Mean ( 240 / 280 )10.8750.0495550458466555219.452929852026
Trimmed Mean ( 241 / 280 )10.8750.0496725404765747218.933839414326
Trimmed Mean ( 242 / 280 )10.87430167597770.0497908108364134218.399770827290
Trimmed Mean ( 243 / 280 )10.87288135593220.0499098642602736217.850349166079
Trimmed Mean ( 244 / 280 )10.87215909090910.0500297081428999217.314061874096
Trimmed Mean ( 245 / 280 )10.87142857142860.0501503499386676216.776724085156
Trimmed Mean ( 246 / 280 )10.87068965517240.0502717971604453216.238333801316
Trimmed Mean ( 247 / 280 )10.86994219653180.0503940573783202215.698889155293
Trimmed Mean ( 248 / 280 )10.86918604651160.0505171382181799215.158388417974
Trimmed Mean ( 249 / 280 )10.86842105263160.0506410473601372214.616830006301
Trimmed Mean ( 250 / 280 )10.86764705882350.0507657925367901214.074212491565
Trimmed Mean ( 251 / 280 )10.86686390532540.0508913815313036213.530534608128
Trimmed Mean ( 252 / 280 )10.86607142857140.0510178221753008212.985795262582
Trimmed Mean ( 253 / 280 )10.86526946107780.0511451223465519212.439993543399
Trimmed Mean ( 254 / 280 )10.86526946107780.0512732899664452211.908958215640
Trimmed Mean ( 255 / 280 )10.86445783132530.0514023329972256211.361181445046
Trimmed Mean ( 256 / 280 )10.86280487804880.0515322594389852210.796207973580
Trimmed Mean ( 257 / 280 )10.86196319018400.0516630773263876210.246151648349
Trimmed Mean ( 258 / 280 )10.86111111111110.0517947947251086209.695031494081
Trimmed Mean ( 259 / 280 )10.86024844720500.0519274197279733209.142847923070
Trimmed Mean ( 260 / 280 )10.8593750.052060960450768208.589601612696
Trimmed Mean ( 261 / 280 )10.85849056603770.052195425027705208.035293519961
Trimmed Mean ( 262 / 280 )10.85759493670890.0523308216065164207.479924896819
Trimmed Mean ( 263 / 280 )10.85668789808920.0524671583431507206.923497306319
Trimmed Mean ( 264 / 280 )10.85576923076920.0526044433960438206.366012639640
Trimmed Mean ( 265 / 280 )10.85483870967740.0527426849199372205.807473134046
Trimmed Mean ( 266 / 280 )10.85389610389610.0528818910592087205.247881391829
Trimmed Mean ( 267 / 280 )10.85294117647060.0530220699406839204.687240400306
Trimmed Mean ( 268 / 280 )10.85197368421050.053163229665891204.125553552911
Trimmed Mean ( 269 / 280 )10.85099337748340.0533053783027198203.562824671480
Trimmed Mean ( 270 / 280 )10.850.0534485238764439202.999058029774
Trimmed Mean ( 271 / 280 )10.84899328859060.0535926743600593202.434258378342
Trimmed Mean ( 272 / 280 )10.84797297297300.0537378376638931201.868430970787
Trimmed Mean ( 273 / 280 )10.84693877551020.0538840216244291201.301581591538
Trimmed Mean ( 274 / 280 )10.84589041095890.0540312339922948200.733716585218
Trimmed Mean ( 275 / 280 )10.84482758620690.0541794824193496200.164842887716
Trimmed Mean ( 276 / 280 )10.843750.0543287744448113199.59496805906
Trimmed Mean ( 277 / 280 )10.84265734265730.0544791174803486199.024100318227
Trimmed Mean ( 278 / 280 )10.84154929577460.0546305187940678198.452248579999
Trimmed Mean ( 279 / 280 )10.84042553191490.0547829854933123197.879422494020
Trimmed Mean ( 280 / 280 )10.83928571428570.0549365245061877197.305632486177
Median10
Midrange10.5
Midmean - Weighted Average at Xnp11.1194852941176
Midmean - Weighted Average at X(n+1)p11.1194852941176
Midmean - Empirical Distribution Function11.1194852941176
Midmean - Empirical Distribution Function - Averaging11.1194852941176
Midmean - Empirical Distribution Function - Interpolation11.1194852941176
Midmean - Closest Observation11.1194852941176
Midmean - True Basic - Statistics Graphics Toolkit11.1194852941176
Midmean - MS Excel (old versions)11.1194852941176
Number of observations840
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250602781xjkubqmv6mmm4dj/1us3e1250602704.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250602781xjkubqmv6mmm4dj/1us3e1250602704.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250602781xjkubqmv6mmm4dj/254pj1250602704.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Aug/18/t1250602781xjkubqmv6mmm4dj/254pj1250602704.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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