Michaël Mertens opdracht 5

R Software Module: rwasp_centraltendency.wasp (opens new window with default values)

Title produced by software: Central Tendency

Date of computation: Mon, 11 Aug 2008 06:16:14 -0600

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Aug/11/t1218457011dtv7kx1n4b9y7zo.htm/, Retrieved Mon, 11 Aug 2008 12:16:54 +0000

IsPrivate?

No (this computation is public)

User-defined keywords:

Dataseries X:

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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 12 11 13 10 10 10 8 12 10 10 8 14 9 8 12 15 14 9 7 8 12 12 10 10 8 8 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 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 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 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 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 8 10 12 12 10 9 12 12 10 7 12 10 10 9 18 13 10 12 15 12 12 9 7 12 13 14 13 12 8 8 10 10 8 12 10 12 12 12 9 12 7 12 8 8 12 14 10 9 8 13 10 10 14 10 10 12 14 8 14 12 12 10 10 8 12 12 12 10 12 10 10 12 12 12 12 13 12 8 10 12 8 10 10 12 12 12 12 12 12 14 10 12 14 12 14 12 13 8 12 14 10 10 11 12 10 10 8 11 12 12 11 10 9 14 12 10 12 10 12 12 8 12 12 10 12 10 10 10 12 12 12 12 9 12 14 8 12 10 10 10 7 8 10 10 10 9 15 10 12 12 12 11 12 12 14 8 12 12 10 14 8 10 12 10 10 10 12 9 12 11 8 14 12 10 12 10 8 14 12 12 12 8 12 12 10 12 12 12 9 11 10 15 10 9 9 10 7 10 9 10 10 10 15 12 12 10 12 8 12 11 8 14 8 12 10 15 9 13 12 14 12 12 17 10 13 12 12 10 12 10 12 10 10 10 8 12 10 10 10 12 12 11 12 8 8 12 12 10 12 9 10 12 12 12 12 10 10 9 12 10 9 12 7 14 10 10 9 10 8 10 12 12 10 9 10 9 12 10 12 10 9 7 12 11 12 9 13 12 12 7 8 12 12 12 11 12 13 10 12 10 12 12 15 12 12 13 10 10 8 11 12 12 12 12 10 10 12 15 12 10 10 7 12 10 11 10 10 10 10 11 7 15 8 10 8 9 8 7 10 12 14 11 8 10 8 8 14 12 15 12 12 9 12 12 9 11 15 11 12 7 15 9 10 15 15 8 11 12 10 10 12 7 12 10 11 12 10 10 8 9 8 10 10 14 10 10 12 12 7 12 10 12 9 9 13 14 10 12 12 12 12 12 10 10 8 12 8 14 10 70 12 10 8 8 11 10 8 7 8 9 12 12 7 10 8 10 10 10 8 12 7 13 13 8 8 11 12 9 12 13 13 12 12 10 8 12 10 10 15 12 10 12 8 8 12 12 10 12 9 12 12 10 9 10 10 10 12 12 12 12 8 10 12 15 10 8 15 10 9 12 10 10 11 11 12 12 14 12 14 9 10 12 13 10 11 10 12 12 12 13 14 9 10 10 12 12 10 8 12 12 10 12 10 12 12 12 10 12 12 10 10 12 12 12 9 12 12 9 12 12 12 15 12 12 12 8 8 12 8 12 12 10 10 12 8 8 10 10 9 9 9 10 12

Text written by user:

Output produced by software:

Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 10 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135 Central Tendency - Ungrouped Data Measure Value S.E. Value/S.E. Arithmetic Mean 10.8304878048780 0.0971422096708022 111.491058743472 Geometric Mean 10.6185646029381 Harmonic Mean 10.4372809083367 Quadratic Mean 11.1815941967363 Winsorized Mean ( 1 / 273 ) 10.7670731707317 0.065537100116809 164.289740491129 Winsorized Mean ( 2 / 273 ) 10.7646341463415 0.0652303780382402 165.024862189682 Winsorized Mean ( 3 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 4 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 5 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 6 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 7 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 8 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 9 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 10 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 11 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 12 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 13 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 14 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 15 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 16 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 17 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 18 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 19 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 20 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 21 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 22 / 273 ) 10.7573170731707 0.0645088343114441 166.757269573887 Winsorized Mean ( 23 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 24 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 25 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 26 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 27 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 28 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 29 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 30 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 31 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 32 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 33 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 34 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 35 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 36 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 37 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 38 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 39 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 40 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 41 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 42 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 43 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 44 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 45 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 46 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 47 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 48 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 49 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 50 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 51 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 52 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 53 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 54 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 55 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 56 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 57 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 58 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 59 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 60 / 273 ) 10.7573170731707 0.0606788543983527 177.282797769214 Winsorized Mean ( 61 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 62 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 63 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 64 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 65 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 66 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 67 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 68 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 69 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 70 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 71 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 72 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 73 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 74 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 75 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 76 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 77 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 78 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 79 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 80 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 81 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 82 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 83 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 84 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 85 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 86 / 273 ) 10.6829268292683 0.0563642396177134 189.533770023769 Winsorized Mean ( 87 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 88 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 89 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 90 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 91 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 92 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 93 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 94 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 95 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 96 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 97 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 98 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 99 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 100 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 101 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 102 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 103 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 104 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 105 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 106 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 107 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 108 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 109 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 110 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 111 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 112 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 113 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 114 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 115 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 116 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 117 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 118 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 119 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 120 / 273 ) 10.5768292682927 0.0518883095762755 203.838385845752 Winsorized Mean ( 121 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 122 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 123 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 124 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 125 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 126 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 127 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 128 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 129 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 130 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 131 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 132 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 133 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 134 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 135 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 136 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 137 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 138 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 139 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 140 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 141 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 142 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 143 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 144 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 145 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 146 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 147 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 148 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 149 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 150 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 151 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 152 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 153 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 154 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 155 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 156 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 157 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 158 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 159 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 160 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 161 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 162 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 163 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 164 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 165 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 166 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 167 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 168 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 169 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 170 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 171 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 172 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 173 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 174 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 175 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 176 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 177 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 178 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 179 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 180 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 181 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 182 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 183 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 184 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 185 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 186 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 187 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 188 / 273 ) 10.7243902439024 0.0437885462602709 244.913137334103 Winsorized Mean ( 189 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 190 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 191 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 192 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 193 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 194 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 195 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 196 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 197 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 198 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 199 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 200 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 201 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 202 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 203 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 204 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 205 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 206 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 207 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 208 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 209 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 210 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 211 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 212 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 213 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 214 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 215 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 216 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 217 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 218 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 219 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 220 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 221 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 222 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 223 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 224 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 225 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 226 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 227 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 228 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 229 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 230 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 231 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 232 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 233 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 234 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 235 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 236 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 237 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 238 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 239 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 240 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 241 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 242 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 243 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 244 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 245 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 246 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 247 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 248 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 249 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 250 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 251 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 252 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 253 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 254 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 255 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 256 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 257 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 258 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 259 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 260 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 261 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 262 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 263 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 264 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 265 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 266 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 267 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 268 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 269 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 270 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 271 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 272 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Winsorized Mean ( 273 / 273 ) 10.9548780487805 0.0341089624087856 321.173007771084 Trimmed Mean ( 1 / 273 ) 10.7628361858191 0.0649354808227567 165.746615709161 Trimmed Mean ( 2 / 273 ) 10.7585784313725 0.0643214958489891 167.262565793417 Trimmed Mean ( 3 / 273 ) 10.7555282555283 0.0638545244774854 168.43799783241 Trimmed Mean ( 4 / 273 ) 10.7549261083744 0.0636297750250391 169.023481603419 Trimmed Mean ( 5 / 273 ) 10.7543209876543 0.0634015934679165 169.622250789271 Trimmed Mean ( 6 / 273 ) 10.7537128712871 0.0631699115502479 170.234730544671 Trimmed Mean ( 7 / 273 ) 10.7531017369727 0.0629346590103164 170.861364883379 Trimmed Mean ( 8 / 273 ) 10.7524875621891 0.0626957634971227 171.502617759532 Trimmed Mean ( 9 / 273 ) 10.7518703241895 0.0624531504823478 172.158974225464 Trimmed Mean ( 10 / 273 ) 10.75125 0.062206743167396 172.830941672494 Trimmed Mean ( 11 / 273 ) 10.7506265664160 0.0619564623851719 173.519051161788 Trimmed Mean ( 12 / 273 ) 10.75 0.0617022264962178 174.223858853115 Trimmed Mean ( 13 / 273 ) 10.7493702770781 0.0614439512788041 174.945947540099 Trimmed Mean ( 14 / 273 ) 10.7487373737374 0.0611815498125321 175.685928301471 Trimmed Mean ( 15 / 273 ) 10.7487373737374 0.0609149323549669 176.454884840087 Trimmed Mean ( 16 / 273 ) 10.747461928934 0.0606440062107774 177.222162592286 Trimmed Mean ( 17 / 273 ) 10.7468193384224 0.0603686755928108 178.019796407497 Trimmed Mean ( 18 / 273 ) 10.7461734693878 0.0600888414744793 178.838087167180 Trimmed Mean ( 19 / 273 ) 10.7455242966752 0.0598044014327741 179.677817004058 Trimmed Mean ( 20 / 273 ) 10.7448717948718 0.0595152494811617 180.539809352103 Trimmed Mean ( 21 / 273 ) 10.7442159383033 0.0592212758915417 181.424931775877 Trimmed Mean ( 22 / 273 ) 10.7435567010309 0.0589223670043671 182.334099039753 Trimmed Mean ( 23 / 273 ) 10.7428940568475 0.0586184050259399 183.268276441394 Trimmed Mean ( 24 / 273 ) 10.7422279792746 0.0585106122332448 183.594523613121 Trimmed Mean ( 25 / 273 ) 10.7415584415584 0.0584010878472603 183.927369121127 Trimmed Mean ( 26 / 273 ) 10.7408854166667 0.0582898024008826 184.266972510856 Trimmed Mean ( 27 / 273 ) 10.7402088772846 0.0581767257553572 184.613498574137 Trimmed Mean ( 28 / 273 ) 10.7395287958115 0.0580618270797562 184.967117570366 Trimmed Mean ( 29 / 273 ) 10.7395287958115 0.0579450748296398 185.339803725960 Trimmed Mean ( 30 / 273 ) 10.7388451443570 0.0578264367248652 185.708228840932 Trimmed Mean ( 31 / 273 ) 10.7374670184697 0.057705879726497 186.072321734995 Trimmed Mean ( 32 / 273 ) 10.7367724867725 0.0575833700127764 186.456132810397 Trimmed Mean ( 33 / 273 ) 10.7360742705570 0.0574588729540984 186.847978712246 Trimmed Mean ( 34 / 273 ) 10.7353723404255 0.0573323530869484 187.248067843031 Trimmed Mean ( 35 / 273 ) 10.7346666666667 0.0572037740867427 187.656615984617 Trimmed Mean ( 36 / 273 ) 10.7339572192513 0.0570730987395156 188.073846633799 Trimmed Mean ( 37 / 273 ) 10.7332439678284 0.0569402889123913 188.499991356606 Trimmed Mean ( 38 / 273 ) 10.7325268817204 0.0568053055227759 188.935290162594 Trimmed Mean ( 39 / 273 ) 10.7318059299191 0.0566681085062002 189.379991900470 Trimmed Mean ( 40 / 273 ) 10.7310810810811 0.056528656782739 189.834354676508 Trimmed Mean ( 41 / 273 ) 10.7303523035230 0.0563869082219272 190.298646297303 Trimmed Mean ( 42 / 273 ) 10.7296195652174 0.0562428196060898 190.773144738562 Trimmed Mean ( 43 / 273 ) 10.7288828337875 0.0560963465919957 191.258138641748 Trimmed Mean ( 44 / 273 ) 10.7281420765027 0.0559474436707376 191.753927840566 Trimmed Mean ( 45 / 273 ) 10.7273972602740 0.0557960641257381 192.260823919398 Trimmed Mean ( 46 / 273 ) 10.7266483516484 0.0556421599887693 192.779150806033 Trimmed Mean ( 47 / 273 ) 10.7258953168044 0.0554856819938697 193.309245401173 Trimmed Mean ( 48 / 273 ) 10.7251381215470 0.0553265795290324 193.851458247459 Trimmed Mean ( 49 / 273 ) 10.7243767313019 0.0551648005855287 194.406154240957 Trimmed Mean ( 50 / 273 ) 10.7236111111111 0.0550002917047221 194.973713388331 Trimmed Mean ( 51 / 273 ) 10.7228412256267 0.0548329979222168 195.554531613201 Trimmed Mean ( 52 / 273 ) 10.7220670391061 0.0546628627091731 196.149021615490 Trimmed Mean ( 53 / 273 ) 10.7212885154062 0.0544898279106096 196.757613787924 Trimmed Mean ( 54 / 273 ) 10.7205056179775 0.054313833680497 197.380757194222 Trimmed Mean ( 55 / 273 ) 10.7197183098592 0.054134818413435 198.018920613924 Trimmed Mean ( 56 / 273 ) 10.7189265536723 0.0539527186726857 198.672593659287 Trimmed Mean ( 57 / 273 ) 10.7181303116147 0.0537674691143202 199.342287970183 Trimmed Mean ( 58 / 273 ) 10.7181303116147 0.053579002407214 200.043484015514 Trimmed Mean ( 59 / 273 ) 10.7173295454545 0.0533872491486058 200.746989522206 Trimmed Mean ( 60 / 273 ) 10.7165242165242 0.0531921377749107 201.468199339394 Trimmed Mean ( 61 / 273 ) 10.7148997134670 0.0529935944674535 202.192355909122 Trimmed Mean ( 62 / 273 ) 10.7155172413793 0.0529004988214515 202.559852555381 Trimmed Mean ( 63 / 273 ) 10.7161383285303 0.0528057078988506 202.93522717387 Trimmed Mean ( 64 / 273 ) 10.7167630057803 0.0527091904966806 203.318679433243 Trimmed Mean ( 65 / 273 ) 10.7173913043478 0.0526109146556223 203.710415880453 Trimmed Mean ( 66 / 273 ) 10.7180232558140 0.0525108476356893 204.110650244567 Trimmed Mean ( 67 / 273 ) 10.7186588921283 0.0524089558909004 204.519603757062 Trimmed Mean ( 68 / 273 ) 10.7192982456140 0.0523052050428897 204.937505489642 Trimmed Mean ( 69 / 273 ) 10.7199413489736 0.0521995598534 205.364592710744 Trimmed Mean ( 70 / 273 ) 10.7205882352941 0.0520919841955992 205.801111261948 Trimmed Mean ( 71 / 273 ) 10.7212389380531 0.0519824410241577 206.247315955606 Trimmed Mean ( 72 / 273 ) 10.7218934911243 0.0518708923440198 206.703470995143 Trimmed Mean ( 73 / 273 ) 10.7225519287834 0.0517572991777973 207.169850419535 Trimmed Mean ( 74 / 273 ) 10.7232142857143 0.0516416215317103 207.646738573647 Trimmed Mean ( 75 / 273 ) 10.7238805970149 0.0515238183599934 208.134430606208 Trimmed Mean ( 76 / 273 ) 10.7245508982036 0.0514038475276815 208.633232997361 Trimmed Mean ( 77 / 273 ) 10.7252252252252 0.0512816657716819 209.143464117887 Trimmed Mean ( 78 / 273 ) 10.7259036144578 0.0511572286600357 209.665454822360 Trimmed Mean ( 79 / 273 ) 10.7265861027190 0.0510304905492607 210.199549078691 Trimmed Mean ( 80 / 273 ) 10.7272727272727 0.0509014045396653 210.746104636728 Trimmed Mean ( 81 / 273 ) 10.7279635258359 0.0507699224285098 211.305493738781 Trimmed Mean ( 82 / 273 ) 10.7286585365854 0.0506359946608874 211.878103875235 Trimmed Mean ( 83 / 273 ) 10.7293577981651 0.050499570278185 212.464338588640 Trimmed Mean ( 84 / 273 ) 10.7300613496933 0.0503605968639734 213.064618329995 Trimmed Mean ( 85 / 273 ) 10.7307692307692 0.0502190204871677 213.679381371272 Trimmed Mean ( 86 / 273 ) 10.7314814814815 0.0500747856422836 214.309084778582 Trimmed Mean ( 87 / 273 ) 10.7321981424149 0.0499278351866055 214.954205450792 Trimmed Mean ( 88 / 273 ) 10.7344720496894 0.0498637266751089 215.276168980124 Trimmed Mean ( 89 / 273 ) 10.7367601246106 0.049798083289836 215.605891136818 Trimmed Mean ( 90 / 273 ) 10.7390625 0.049730873850338 215.943571237428 Trimmed Mean ( 91 / 273 ) 10.7413793103448 0.0496620663817743 216.289415502188 Trimmed Mean ( 92 / 273 ) 10.7437106918239 0.0495916280888717 216.643637360936 Trimmed Mean ( 93 / 273 ) 10.7460567823344 0.0495195253287998 217.006457775649 Trimmed Mean ( 94 / 273 ) 10.7484177215190 0.0494457235829078 217.378105580691 Trimmed Mean ( 95 / 273 ) 10.7507936507937 0.049370187427263 217.758817841896 Trimmed Mean ( 96 / 273 ) 10.7531847133758 0.0492928805019282 218.148840235765 Trimmed Mean ( 97 / 273 ) 10.7555910543131 0.0492137654789102 218.548427450085 Trimmed Mean ( 98 / 273 ) 10.7580128205128 0.0491328040287104 218.957843607429 Trimmed Mean ( 99 / 273 ) 10.7604501607717 0.0490499567853986 219.377362713089 Trimmed Mean ( 100 / 273 ) 10.7629032258065 0.0489651833101316 219.807269129113 Trimmed Mean ( 101 / 273 ) 10.7653721682848 0.0488784420530295 220.247858076269 Trimmed Mean ( 102 / 273 ) 10.7678571428571 0.0487896903133174 220.699436165882 Trimmed Mean ( 103 / 273 ) 10.7703583061889 0.0486988841976351 221.162321963671 Trimmed Mean ( 104 / 273 ) 10.7728758169935 0.0486059785764095 221.636846587880 Trimmed Mean ( 105 / 273 ) 10.7754098360656 0.0485109270381775 222.123354344176 Trimmed Mean ( 106 / 273 ) 10.7779605263158 0.04841368184174 222.622203400022 Trimmed Mean ( 107 / 273 ) 10.7805280528053 0.048314193866018 223.133766501438 Trimmed Mean ( 108 / 273 ) 10.7831125827815 0.0482124125574728 223.658431735338 Trimmed Mean ( 109 / 273 ) 10.7857142857143 0.0481082858749439 224.196603340876 Trimmed Mean ( 110 / 273 ) 10.7883333333333 0.0480017602317451 224.748702573591 Trimmed Mean ( 111 / 273 ) 10.7909698996656 0.0478927804348488 225.315168626409 Trimmed Mean ( 112 / 273 ) 10.7936241610738 0.0477812896209756 225.896459611996 Trimmed Mean ( 113 / 273 ) 10.7962962962963 0.0476672291893925 226.493053611323 Trimmed Mean ( 114 / 273 ) 10.7989864864865 0.0475505387312067 227.105449793764 Trimmed Mean ( 115 / 273 ) 10.8016949152542 0.047431155954928 227.734169614560 Trimmed Mean ( 116 / 273 ) 10.8016949152542 0.0473090166080507 228.322118904836 Trimmed Mean ( 117 / 273 ) 10.8044217687075 0.0471840543943911 228.984598873128 Trimmed Mean ( 118 / 273 ) 10.8071672354949 0.0470562008868899 229.66510325541 Trimmed Mean ( 119 / 273 ) 10.8099315068493 0.0469253854355702 230.364256073968 Trimmed Mean ( 120 / 273 ) 10.8127147766323 0.0467915350703111 231.08271101567 Trimmed Mean ( 121 / 273 ) 10.8183391003460 0.0466545743980721 231.881637329716 Trimmed Mean ( 122 / 273 ) 10.8194444444444 0.0466647975241043 231.854524577242 Trimmed Mean ( 123 / 273 ) 10.8205574912892 0.0466745479061519 231.829936800802 Trimmed Mean ( 124 / 273 ) 10.8216783216783 0.0466838147073402 231.807927212444 Trimmed Mean ( 125 / 273 ) 10.8228070175439 0.0466925868340394 231.788550418327 Trimmed Mean ( 126 / 273 ) 10.8239436619718 0.0467008529287554 231.771862464361 Trimmed Mean ( 127 / 273 ) 10.8250883392226 0.0467086013627879 231.757920883643 Trimmed Mean ( 128 / 273 ) 10.8262411347518 0.0467158202286460 231.746784745806 Trimmed Mean ( 129 / 273 ) 10.8274021352313 0.046722497332213 231.738514708338 Trimmed Mean ( 130 / 273 ) 10.8285714285714 0.0467286201846501 231.733173069992 Trimmed Mean ( 131 / 273 ) 10.8297491039427 0.0467341759940281 231.730823826369 Trimmed Mean ( 132 / 273 ) 10.8309352517986 0.0467391516566778 231.73153272779 Trimmed Mean ( 133 / 273 ) 10.8321299638989 0.0467435337482468 231.735367339556 Trimmed Mean ( 134 / 273 ) 10.8333333333333 0.0467473085144509 231.742397104733 Trimmed Mean ( 135 / 273 ) 10.8345454545455 0.0467504618615089 231.752693409557 Trimmed Mean ( 136 / 273 ) 10.8357664233577 0.0467529793462463 231.766329651623 Trimmed Mean ( 137 / 273 ) 10.8369963369963 0.0467548461658559 231.78338131097 Trimmed Mean ( 138 / 273 ) 10.8382352941176 0.0467560471473006 231.803926024217 Trimmed Mean ( 139 / 273 ) 10.8394833948339 0.0467565667363428 231.828043661911 Trimmed Mean ( 140 / 273 ) 10.8407407407407 0.0467563889861871 231.855816409247 Trimmed Mean ( 141 / 273 ) 10.8420074349442 0.0467554975457166 231.887328850327 Trimmed Mean ( 142 / 273 ) 10.8432835820896 0.0467538756473096 231.922668056151 Trimmed Mean ( 143 / 273 ) 10.8445692883895 0.0467515060942154 231.961923676536 Trimmed Mean ( 144 / 273 ) 10.8458646616541 0.0467483712474725 232.005188036161 Trimmed Mean ( 145 / 273 ) 10.8471698113208 0.0467444530123489 232.052556234965 Trimmed Mean ( 146 / 273 ) 10.8484848484848 0.0467397328242826 232.104126253130 Trimmed Mean ( 147 / 273 ) 10.8498098859316 0.0467341916343027 232.159999060899 Trimmed Mean ( 148 / 273 ) 10.8511450381679 0.0467278098939056 232.220278733482 Trimmed Mean ( 149 / 273 ) 10.8524904214559 0.0467205675393647 232.285072571349 Trimmed Mean ( 150 / 273 ) 10.8538461538462 0.0467124439754455 232.354491226182 Trimmed Mean ( 151 / 273 ) 10.8552123552124 0.0467034180585017 232.42864883283 Trimmed Mean ( 152 / 273 ) 10.8565891472868 0.0466934680789229 232.507663147587 Trimmed Mean ( 153 / 273 ) 10.8579766536965 0.0466825717429040 232.591655693154 Trimmed Mean ( 154 / 273 ) 10.859375 0.0466707061535063 232.680751910675 Trimmed Mean ( 155 / 273 ) 10.8607843137255 0.0466578477909751 232.775081319251 Trimmed Mean ( 156 / 273 ) 10.8622047244094 0.0466439724922822 232.874777683370 Trimmed Mean ( 157 / 273 ) 10.8636363636364 0.0466290554298523 232.979979188714 Trimmed Mean ( 158 / 273 ) 10.8650793650794 0.0466130710894392 233.090828626844 Trimmed Mean ( 159 / 273 ) 10.8665338645418 0.0465959932471067 233.2074735893 Trimmed Mean ( 160 / 273 ) 10.868 0.0465777949452733 233.33006667167 Trimmed Mean ( 161 / 273 ) 10.8694779116466 0.0465584484677744 233.458765688249 Trimmed Mean ( 162 / 273 ) 10.8709677419355 0.0465379253138928 233.593733897936 Trimmed Mean ( 163 / 273 ) 10.8724696356275 0.0465161961713071 233.735140242058 Trimmed Mean ( 164 / 273 ) 10.8739837398374 0.0464932308879028 233.883159594889 Trimmed Mean ( 165 / 273 ) 10.8755102040816 0.0464689984423896 234.037973027645 Trimmed Mean ( 166 / 273 ) 10.8770491803279 0.0464434669136627 234.199768086824 Trimmed Mean ( 167 / 273 ) 10.8786008230453 0.0464166034488442 234.368739087827 Trimmed Mean ( 168 / 273 ) 10.8801652892562 0.0463883742299351 234.545087424837 Trimmed Mean ( 169 / 273 ) 10.8817427385892 0.0463587444390059 234.729021898043 Trimmed Mean ( 170 / 273 ) 10.8833333333333 0.0463276782218475 234.920759059341 Trimmed Mean ( 171 / 273 ) 10.8849372384937 0.0462951386499999 235.120523577776 Trimmed Mean ( 172 / 273 ) 10.8865546218487 0.0462610876810716 235.328548626044 Trimmed Mean ( 173 / 273 ) 10.8881856540084 0.0462254861172557 235.545076289505 Trimmed Mean ( 174 / 273 ) 10.8898305084746 0.0461882935619442 235.770357999262 Trimmed Mean ( 175 / 273 ) 10.8914893617021 0.0461494683743327 236.004654990993 Trimmed Mean ( 176 / 273 ) 10.8931623931624 0.0461089676219047 236.248238791351 Trimmed Mean ( 177 / 273 ) 10.8948497854077 0.0460667470306727 236.501391733903 Trimmed Mean ( 178 / 273 ) 10.8965517241379 0.0460227609330496 236.764407506742 Trimmed Mean ( 179 / 273 ) 10.8982683982684 0.0459769622132095 237.037591734089 Trimmed Mean ( 180 / 273 ) 10.9 0.0459293022497945 237.321262594377 Trimmed Mean ( 181 / 273 ) 10.9017467248908 0.0458797308558058 237.615751477567 Trimmed Mean ( 182 / 273 ) 10.9035087719298 0.0458281962155136 237.921403684634 Trimmed Mean ( 183 / 273 ) 10.9052863436123 0.0457746448182024 238.238579172455 Trimmed Mean ( 184 / 273 ) 10.9070796460177 0.0457190213885593 238.567653347608 Trimmed Mean ( 185 / 273 ) 10.9088888888889 0.0456612688134947 238.909017912899 Trimmed Mean ( 186 / 273 ) 10.9107142857143 0.0456013280651735 239.263081770791 Trimmed Mean ( 187 / 273 ) 10.9125560538117 0.0455391381200142 239.630271988297 Trimmed Mean ( 188 / 273 ) 10.9144144144144 0.0454746358733970 240.011034828306 Trimmed Mean ( 189 / 273 ) 10.9162895927602 0.0454077560498015 240.405836852797 Trimmed Mean ( 190 / 273 ) 10.9159090909091 0.0454999514359889 239.910345976215 Trimmed Mean ( 191 / 273 ) 10.9155251141553 0.0455926925127776 239.413917287208 Trimmed Mean ( 192 / 273 ) 10.9151376146789 0.0456859844258335 238.9165463294 Trimmed Mean ( 193 / 273 ) 10.9147465437788 0.0457798323836406 238.418228627660 Trimmed Mean ( 194 / 273 ) 10.9143518518519 0.0458742416583393 237.91895968852 Trimmed Mean ( 195 / 273 ) 10.9139534883721 0.0459692175865719 237.418735000619 Trimmed Mean ( 196 / 273 ) 10.9135514018692 0.0460647655703364 236.917550035183 Trimmed Mean ( 197 / 273 ) 10.9131455399061 0.046160891077848 236.415400246534 Trimmed Mean ( 198 / 273 ) 10.9127358490566 0.0462575996444071 235.912281072631 Trimmed Mean ( 199 / 273 ) 10.9123222748815 0.0463548968732752 235.408187935647 Trimmed Mean ( 200 / 273 ) 10.9119047619048 0.0464527884365569 234.903116242585 Trimmed Mean ( 201 / 273 ) 10.9114832535885 0.0465512800760882 234.397061385931 Trimmed Mean ( 202 / 273 ) 10.9110576923077 0.0466503776043308 233.890018744345 Trimmed Mean ( 203 / 273 ) 10.9106280193237 0.0467500869052723 233.381983683397 Trimmed Mean ( 204 / 273 ) 10.9101941747573 0.0468504139353305 232.872951556352 Trimmed Mean ( 205 / 273 ) 10.9097560975610 0.0469513647242632 232.362917704991 Trimmed Mean ( 206 / 273 ) 10.9093137254902 0.0470529453760808 231.851877460490 Trimmed Mean ( 207 / 273 ) 10.9088669950739 0.0471551620699634 231.339826144348 Trimmed Mean ( 208 / 273 ) 10.9084158415842 0.0472580210611798 230.82675906937 Trimmed Mean ( 209 / 273 ) 10.9079601990050 0.0473615286820082 230.312671540704 Trimmed Mean ( 210 / 273 ) 10.9075 0.0474656913426592 229.797558856938 Trimmed Mean ( 211 / 273 ) 10.9070351758794 0.0475705155321976 229.281416311267 Trimmed Mean ( 212 / 273 ) 10.9065656565657 0.0476760078194646 228.764239192713 Trimmed Mean ( 213 / 273 ) 10.9060913705584 0.0477821748539981 228.246022787425 Trimmed Mean ( 214 / 273 ) 10.9056122448980 0.0478890233669501 227.726762380047 Trimmed Mean ( 215 / 273 ) 10.9051282051282 0.0479965601720008 227.206453255160 Trimmed Mean ( 216 / 273 ) 10.9046391752577 0.0481047921662666 226.685090698814 Trimmed Mean ( 217 / 273 ) 10.9041450777202 0.0482137263312027 226.162670000126 Trimmed Mean ( 218 / 273 ) 10.9036458333333 0.0483233697334972 225.639186452990 Trimmed Mean ( 219 / 273 ) 10.9031413612565 0.048433729525956 225.114635357855 Trimmed Mean ( 220 / 273 ) 10.9026315789474 0.0485448129483763 224.589012023622 Trimmed Mean ( 221 / 273 ) 10.9021164021164 0.0486566273284072 224.062311769633 Trimmed Mean ( 222 / 273 ) 10.9015957446809 0.0487691800823959 223.534529927764 Trimmed Mean ( 223 / 273 ) 10.9010695187166 0.048882478716216 223.005661844646 Trimmed Mean ( 224 / 273 ) 10.9005376344086 0.0489965308260773 222.475702883989 Trimmed Mean ( 225 / 273 ) 10.9 0.0491113440993137 221.944648429044 Trimmed Mean ( 226 / 273 ) 10.8994565217391 0.0492269263151467 221.41249388519 Trimmed Mean ( 227 / 273 ) 10.8989071038251 0.0493432853454223 220.879234682663 Trimmed Mean ( 228 / 273 ) 10.8983516483516 0.0494604291553173 220.344866279431 Trimmed Mean ( 229 / 273 ) 10.8977900552486 0.0495783658040128 219.809384164223 Trimmed Mean ( 230 / 273 ) 10.8972222222222 0.0496971034453311 219.272783859720 Trimmed Mean ( 231 / 273 ) 10.8972222222222 0.049816650328332 218.746586741596 Trimmed Mean ( 232 / 273 ) 10.8966480446927 0.0499370147978647 218.207838189772 Trimmed Mean ( 233 / 273 ) 10.8960674157303 0.0500582052950716 217.667959758100 Trimmed Mean ( 234 / 273 ) 10.8954802259887 0.0501802303578386 217.126947172070 Trimmed Mean ( 235 / 273 ) 10.8948863636364 0.0503030986211876 216.584796210694 Trimmed Mean ( 236 / 273 ) 10.8942857142857 0.050426818817606 216.041502710897 Trimmed Mean ( 237 / 273 ) 10.8936781609195 0.0505513997773064 215.497062572142 Trimmed Mean ( 238 / 273 ) 10.8930635838150 0.0506768504284132 214.951471761307 Trimmed Mean ( 239 / 273 ) 10.8924418604651 0.0508031797970661 214.404726317823 Trimmed Mean ( 240 / 273 ) 10.8918128654971 0.0509303970074366 213.856822359086 Trimmed Mean ( 241 / 273 ) 10.8905325443787 0.0510585112816483 213.295144551013 Trimmed Mean ( 242 / 273 ) 10.8898809523810 0.0511875319395939 212.744794283734 Trimmed Mean ( 243 / 273 ) 10.8892215568862 0.0513174683986398 212.193272518776 Trimmed Mean ( 244 / 273 ) 10.8885542168675 0.0514483301732099 211.640575703997 Trimmed Mean ( 245 / 273 ) 10.8878787878788 0.051580126874238 211.086700395784 Trimmed Mean ( 246 / 273 ) 10.8871951219512 0.0517128682084784 210.531643266429 Trimmed Mean ( 247 / 273 ) 10.8865030674847 0.0518465639776646 209.975401111915 Trimmed Mean ( 248 / 273 ) 10.8858024691358 0.0519812240775016 209.417970860124 Trimmed Mean ( 249 / 273 ) 10.8850931677019 0.0521168584964815 208.859349579498 Trimmed Mean ( 250 / 273 ) 10.884375 0.0522534773145068 208.299534488171 Trimmed Mean ( 251 / 273 ) 10.8836477987421 0.0523910907013065 207.738522963614 Trimmed Mean ( 252 / 273 ) 10.8829113924051 0.0525297089146293 207.176312552804 Trimmed Mean ( 253 / 273 ) 10.8821656050955 0.0526693422981979 206.612900982967 Trimmed Mean ( 254 / 273 ) 10.8814102564103 0.0528100012794022 206.048286172915 Trimmed Mean ( 255 / 273 ) 10.8806451612903 0.0529516963667169 205.482466245018 Trimmed Mean ( 256 / 273 ) 10.8798701298701 0.0530944381468162 204.915439537852 Trimmed Mean ( 257 / 273 ) 10.8790849673203 0.0532382372813683 204.347204619556 Trimmed Mean ( 258 / 273 ) 10.8782894736842 0.0533831045034805 203.777760301950 Trimmed Mean ( 259 / 273 ) 10.8774834437086 0.053529050613771 203.207105655452 Trimmed Mean ( 260 / 273 ) 10.8766666666667 0.0536760864760382 202.635240024851 Trimmed Mean ( 261 / 273 ) 10.8758389261745 0.0538242230124966 202.062163045984 Trimmed Mean ( 262 / 273 ) 10.875 0.0539734711985466 201.487874663374 Trimmed Mean ( 263 / 273 ) 10.8741496598639 0.0541238420570422 200.912375148894 Trimmed Mean ( 264 / 273 ) 10.8732876712329 0.0542753466520194 200.335665121511 Trimmed Mean ( 265 / 273 ) 10.8724137931034 0.054427996081843 199.757745568194 Trimmed Mean ( 266 / 273 ) 10.8715277777778 0.0545818014717284 199.178617866046 Trimmed Mean ( 267 / 273 ) 10.8706293706294 0.0547367739655897 198.59828380575 Trimmed Mean ( 268 / 273 ) 10.8697183098592 0.054892924717164 198.016745616405 Trimmed Mean ( 269 / 273 ) 10.8687943262411 0.0550502648803547 197.434005991855 Trimmed Mean ( 270 / 273 ) 10.8678571428571 0.0552088055987353 196.850068118592 Trimmed Mean ( 271 / 273 ) 10.8669064748201 0.0553685579941488 196.264935705361 Trimmed Mean ( 272 / 273 ) 10.8659420289855 0.0555295331543326 195.678613014554 Trimmed Mean ( 273 / 273 ) 10.8649635036496 0.055691742119494 195.091104895541 Median 10.5 Midrange 38.5 Midmean - Weighted Average at Xnp 11.1194852941176 Midmean - Weighted Average at X(n+1)p 11.1194852941176 Midmean - Empirical Distribution Function 11.1194852941176 Midmean - Empirical Distribution Function - Averaging 11.1194852941176 Midmean - Empirical Distribution Function - Interpolation 11.1194852941176 Midmean - Closest Observation 11.1194852941176 Midmean - True Basic - Statistics Graphics Toolkit 11.1194852941176 Midmean - MS Excel (old versions) 11.1194852941176 Number of observations 820

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/11/t1218457011dtv7kx1n4b9y7zo/1qita1218456962.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/11/t1218457011dtv7kx1n4b9y7zo/1qita1218456962.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/11/t1218457011dtv7kx1n4b9y7zo/221nm1218456962.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Aug/11/t1218457011dtv7kx1n4b9y7zo/221nm1218456962.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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