Central Tendency_Studio 100 Maximum Leeftijd Kids_Dominique Van Santfoort

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

Title produced by software: Central Tendency

Date of computation: Tue, 15 Jul 2008 07:12:01 -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/Jul/15/t1216127580fapnl5kcjum69g9.htm/, Retrieved Tue, 15 Jul 2008 13:13:03 +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 18 12 11 13 10 10 10 8 12 10 10 8 14 9 8 12 15 14 1 9 7 8 12 57 12 10 10 8 8 16 14 13 10 12 9 12 11 10 8 8 9 12 8 12 10 12 9 8 12 8 12 10 12 9 28 10 12 9 14 12 12 99 13 13 14 12 12 10 11 12 14 10 12 12 6 12 10 12 12 12 9 12 12 13 8 12 10 10 10 9 12 9 10 8 12 10 8 8 9 12 12 10 10 9 11 10 9 15 10 8 10 8 9 9 6 16 12 12 12 12 10 12 8 9 12 12 8 14 10 12 8 11 10 12 12 12 12 8 10 7 10 10 12 11 9 10 12 14 13 10 11 10 10 8 10 10 10 8 8 4 14 8 12 12 10 8 12 12 10 10 12 12 9 11 14 10 8 12 8 10 11 12 10 10 12 8 9 12 8 8 10 10 10 14 10 12 12 13 9 12 12 10 12 6 8 12 10 9 11 11 9 10 15 12 7 7 10 9 10 10 9 12 10 9 12 10 7 12 10 10 12 8 12 10 10 9 8 8 12 12 10 12 10 9 10 10 8 10 12 12 16 10 9 12 12 10 7 12 10 10 6 9 6 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 5 9 8 13 10 10 14 10 99 10 12 17 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 16 12 10 10 99 8 11 12 12 11 10 20 9 14 12 10 12 10 12 12 8 12 12 10 99 12 2 10 10 10 12 12 12 12 88 9 12 14 8 12 10 10 10 7 8 10 1 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 1 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 6 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 50 9 12 12 7 10 8 10 10 10 8 12 7 13 13 8 8 11 6 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 99 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 99 8 99 12 99 12 10 12 10 12 12 12 10 12 12 10 10 12 99 12 12 9 99 12 12 9 12 12 12 15 12 12 12 8 8 12 8 12 12 10 10 12 99 8 8 99 10 10 5 9 9 99 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 12.3205128205128 0.397759791187405 30.9747568594936 Geometric Mean 10.9117977008010 Harmonic Mean 10.1524639709944 Quadratic Mean 16.9523877339875 Winsorized Mean ( 1 / 286 ) 12.3205128205128 0.397759791187405 30.9747568594936 Winsorized Mean ( 2 / 286 ) 12.3205128205128 0.397759791187405 30.9747568594936 Winsorized Mean ( 3 / 286 ) 12.3240093240093 0.397648768717017 30.9921978729415 Winsorized Mean ( 4 / 286 ) 12.3333333333333 0.397393450693822 31.035572709616 Winsorized Mean ( 5 / 286 ) 12.3391608391608 0.397259340250373 31.0607192555474 Winsorized Mean ( 6 / 286 ) 12.3391608391608 0.397259340250373 31.0607192555474 Winsorized Mean ( 7 / 286 ) 12.3473193473193 0.397095316303686 31.0940946426991 Winsorized Mean ( 8 / 286 ) 12.3473193473193 0.397095316303686 31.0940946426991 Winsorized Mean ( 9 / 286 ) 12.3473193473193 0.397095316303686 31.0940946426991 Winsorized Mean ( 10 / 286 ) 12.3473193473193 0.397095316303686 31.0940946426991 Winsorized Mean ( 11 / 286 ) 12.3473193473193 0.397095316303686 31.0940946426991 Winsorized Mean ( 12 / 286 ) 12.3473193473193 0.397095316303686 31.0940946426991 Winsorized Mean ( 13 / 286 ) 12.1806526806527 0.355088215572754 34.303173539582 Winsorized Mean ( 14 / 286 ) 11.9032634032634 0.282810232965241 42.0892245604365 Winsorized Mean ( 15 / 286 ) 11.6759906759907 0.229248531658914 50.9315832537708 Winsorized Mean ( 16 / 286 ) 11.5454545454545 0.199484199927567 57.8765363354428 Winsorized Mean ( 17 / 286 ) 11.1095571095571 0.107906098328598 102.955785461967 Winsorized Mean ( 18 / 286 ) 10.9417249417249 0.0810062420677285 135.072614929806 Winsorized Mean ( 19 / 286 ) 10.8974358974359 0.0756758388297784 144.001521039602 Winsorized Mean ( 20 / 286 ) 10.8974358974359 0.0756758388297784 144.001521039602 Winsorized Mean ( 21 / 286 ) 10.8729603729604 0.0731368662565478 148.665931827328 Winsorized Mean ( 22 / 286 ) 10.8729603729604 0.0731368662565478 148.665931827328 Winsorized Mean ( 23 / 286 ) 10.8461538461538 0.0706833841919457 153.447008376118 Winsorized Mean ( 24 / 286 ) 10.8461538461538 0.0706833841919457 153.447008376118 Winsorized Mean ( 25 / 286 ) 10.8461538461538 0.0706833841919457 153.447008376118 Winsorized Mean ( 26 / 286 ) 10.8461538461538 0.0706833841919457 153.447008376118 Winsorized Mean ( 27 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 28 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 29 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 30 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 31 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 32 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 33 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 34 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 35 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 36 / 286 ) 10.8146853146853 0.068214458559281 158.539487714132 Winsorized Mean ( 37 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 38 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 39 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 40 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 41 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 42 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 43 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 44 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 45 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 46 / 286 ) 10.8578088578089 0.0657073654590441 165.244927748269 Winsorized Mean ( 47 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 48 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 49 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 50 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 51 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 52 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 53 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 54 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 55 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 56 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 57 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 58 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 59 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 60 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 61 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 62 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 63 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 64 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 65 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 66 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 67 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 68 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 69 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 70 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 71 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 72 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 73 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 74 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 75 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 76 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 77 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 78 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 79 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 80 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 81 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 82 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 83 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 84 / 286 ) 10.8030303030303 0.062035040868628 174.144002353572 Winsorized Mean ( 85 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 86 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 87 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 88 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 89 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 90 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 91 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 92 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 93 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 94 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 95 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 96 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 97 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 98 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 99 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 100 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 101 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 102 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 103 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 104 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 105 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 106 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 107 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 108 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 109 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 110 / 286 ) 10.7039627039627 0.0566865499786264 188.827203419482 Winsorized Mean ( 111 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 112 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 113 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 114 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 115 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 116 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 117 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 118 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 119 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 120 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 121 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 122 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 123 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 124 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 125 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 126 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 127 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 128 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 129 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 130 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 131 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 132 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 133 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 134 / 286 ) 10.5745920745921 0.0514935399464774 205.357644581890 Winsorized Mean ( 135 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 136 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 137 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 138 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 139 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 140 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 141 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 142 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 143 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 144 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 145 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 146 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 147 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 148 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 149 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 150 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 151 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 152 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 153 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 154 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 155 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 156 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 157 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 158 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 159 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 160 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 161 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 162 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 163 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 164 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 165 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 166 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 167 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 168 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 169 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 170 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 171 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 172 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 173 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 174 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 175 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 176 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 177 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 178 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 179 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 180 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 181 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 182 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 183 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 184 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 185 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 186 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 187 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 188 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 189 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 190 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 191 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 192 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 193 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 194 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 195 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 196 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 197 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 198 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 199 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 200 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 201 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 202 / 286 ) 10.7319347319347 0.0431383716857317 248.779319027574 Winsorized Mean ( 203 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 204 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 205 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 206 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 207 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 208 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 209 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 210 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 211 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 212 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 213 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 214 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 215 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 216 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 217 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 218 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 219 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 220 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 221 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 222 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 223 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 224 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 225 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 226 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 227 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 228 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 229 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 230 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 231 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 232 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 233 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 234 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 235 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 236 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 237 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 238 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 239 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 240 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 241 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 242 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 243 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 244 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 245 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 246 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 247 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 248 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 249 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 250 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 251 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 252 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 253 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 254 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 255 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 256 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 257 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 258 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 259 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 260 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 261 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 262 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 263 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 264 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 265 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 266 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 267 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 268 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 269 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 270 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 271 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 272 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 273 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 274 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 275 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 276 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 277 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 278 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 279 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 280 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 281 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 282 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 283 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 284 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 285 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Winsorized Mean ( 286 / 286 ) 10.9685314685315 0.0333974018582199 328.424693486504 Trimmed Mean ( 1 / 286 ) 12.2324766355140 0.385361510722668 31.7428603925039 Trimmed Mean ( 2 / 286 ) 12.1440281030445 0.372401644593605 32.6100281224511 Trimmed Mean ( 3 / 286 ) 12.0551643192488 0.358817429860927 33.5969306840007 Trimmed Mean ( 4 / 286 ) 11.9647058823529 0.344575087349169 34.7230729139415 Trimmed Mean ( 5 / 286 ) 11.8714622641509 0.329617773767128 36.0158438317044 Trimmed Mean ( 6 / 286 ) 11.7765957446809 0.313793788343573 37.5297287012789 Trimmed Mean ( 7 / 286 ) 11.6812796208531 0.296927270552588 39.3405415377105 Trimmed Mean ( 8 / 286 ) 11.5843230403800 0.278857197170827 41.5421339592807 Trimmed Mean ( 9 / 286 ) 11.4869047619048 0.259295259069194 44.3004812472851 Trimmed Mean ( 10 / 286 ) 11.3890214797136 0.237870385640046 47.879106300134 Trimmed Mean ( 11 / 286 ) 11.2906698564593 0.214020119786926 52.7551795957318 Trimmed Mean ( 12 / 286 ) 11.1918465227818 0.186813516676173 59.9091903086542 Trimmed Mean ( 13 / 286 ) 11.0925480769231 0.154482089920385 71.8047514934569 Trimmed Mean ( 14 / 286 ) 11.0060240963855 0.123842878496862 88.8708679091664 Trimmed Mean ( 15 / 286 ) 10.9396135265700 0.101488871592644 107.791261789564 Trimmed Mean ( 16 / 286 ) 10.8886198547215 0.0849160265641505 128.228089505526 Trimmed Mean ( 17 / 286 ) 10.8458737864078 0.0704669549631829 153.914324694099 Trimmed Mean ( 18 / 286 ) 10.8296836982968 0.067316621342537 160.876815893516 Trimmed Mean ( 19 / 286 ) 10.8231707317073 0.0663819498274853 163.043881052527 Trimmed Mean ( 20 / 286 ) 10.8190709046455 0.0657965672879903 164.432148219688 Trimmed Mean ( 21 / 286 ) 10.8149509803922 0.0651993768097179 165.875066750334 Trimmed Mean ( 22 / 286 ) 10.8120393120393 0.064746261516834 166.990943704575 Trimmed Mean ( 23 / 286 ) 10.8091133004926 0.064284867161988 168.143978166048 Trimmed Mean ( 24 / 286 ) 10.8074074074074 0.0639509537193312 168.995249935429 Trimmed Mean ( 25 / 286 ) 10.8056930693069 0.0636114934950256 169.870136285229 Trimmed Mean ( 26 / 286 ) 10.8039702233251 0.0632663523885447 170.769608416389 Trimmed Mean ( 27 / 286 ) 10.8022388059701 0.0629153912242414 171.694693393372 Trimmed Mean ( 28 / 286 ) 10.8017456359102 0.0626752797419787 172.344593919306 Trimmed Mean ( 29 / 286 ) 10.80125 0.0624314235796985 173.009830317442 Trimmed Mean ( 30 / 286 ) 10.8007518796992 0.0621837451202073 173.690919690031 Trimmed Mean ( 31 / 286 ) 10.8007518796992 0.0619321643431695 174.396486773039 Trimmed Mean ( 32 / 286 ) 10.7997481108312 0.0616765987192842 175.102848326403 Trimmed Mean ( 33 / 286 ) 10.7992424242424 0.0614169630982737 175.834848866794 Trimmed Mean ( 34 / 286 ) 10.7987341772152 0.0611531695902319 176.585028209888 Trimmed Mean ( 35 / 286 ) 10.7982233502538 0.0608851274398366 177.354040375854 Trimmed Mean ( 36 / 286 ) 10.7977099236641 0.0606127428928879 178.142572144365 Trimmed Mean ( 37 / 286 ) 10.7971938775510 0.0603359190545836 178.951345181022 Trimmed Mean ( 38 / 286 ) 10.7953964194373 0.0601443531062564 179.491437880548 Trimmed Mean ( 39 / 286 ) 10.7935897435897 0.0599497275307355 180.044016681410 Trimmed Mean ( 40 / 286 ) 10.7917737789203 0.0597519816060927 180.60947083 Trimmed Mean ( 41 / 286 ) 10.7899484536082 0.0595510528717553 181.18820630837 Trimmed Mean ( 42 / 286 ) 10.7881136950904 0.0593468770588011 181.780646762618 Trimmed Mean ( 43 / 286 ) 10.7862694300518 0.0591393880165585 182.387234494746 Trimmed Mean ( 44 / 286 ) 10.7844155844156 0.0589285176352632 183.008431523180 Trimmed Mean ( 45 / 286 ) 10.7825520833333 0.0587141957645075 183.644720717632 Trimmed Mean ( 46 / 286 ) 10.7806788511749 0.0584963501271948 184.296607014512 Trimmed Mean ( 47 / 286 ) 10.7787958115183 0.0582749062286859 184.964618719754 Trimmed Mean ( 48 / 286 ) 10.7782152230971 0.0581602649261227 185.319225020519 Trimmed Mean ( 49 / 286 ) 10.7776315789474 0.0580437710521453 185.681105544727 Trimmed Mean ( 50 / 286 ) 10.7770448548813 0.0579253923393919 186.050442122813 Trimmed Mean ( 51 / 286 ) 10.7764550264550 0.0578050957623819 186.427422778669 Trimmed Mean ( 52 / 286 ) 10.7758620689655 0.0576828475135276 186.812242000335 Trimmed Mean ( 53 / 286 ) 10.7752659574468 0.0575586129781572 187.205101025209 Trimmed Mean ( 54 / 286 ) 10.7746666666667 0.0574323567085003 187.606208140714 Trimmed Mean ( 55 / 286 ) 10.7746666666667 0.0573040423965802 188.026293016105 Trimmed Mean ( 56 / 286 ) 10.7734584450402 0.0571736328459563 188.434036963635 Trimmed Mean ( 57 / 286 ) 10.7728494623656 0.0570410899422557 188.861213438790 Trimmed Mean ( 58 / 286 ) 10.7722371967655 0.0569063746224286 189.297548266584 Trimmed Mean ( 59 / 286 ) 10.7716216216216 0.0567694468426586 189.743290109486 Trimmed Mean ( 60 / 286 ) 10.7710027100271 0.0566302655448541 190.198696869890 Trimmed Mean ( 61 / 286 ) 10.7710027100271 0.0564887886216423 190.675052038564 Trimmed Mean ( 62 / 286 ) 10.7703804347826 0.0563449728797824 191.150689836381 Trimmed Mean ( 63 / 286 ) 10.7691256830601 0.056198774001907 191.625633731702 Trimmed Mean ( 64 / 286 ) 10.7684931506849 0.0560501465064986 192.122479990956 Trimmed Mean ( 65 / 286 ) 10.7678571428571 0.055899043705996 192.6304356742 Trimmed Mean ( 66 / 286 ) 10.767217630854 0.055745417662924 193.149824366913 Trimmed Mean ( 67 / 286 ) 10.7665745856354 0.0555892191439278 193.68098259771 Trimmed Mean ( 68 / 286 ) 10.7659279778393 0.055430397571586 194.224260504998 Trimmed Mean ( 69 / 286 ) 10.7652777777778 0.0552689009738701 194.780022545904 Trimmed Mean ( 70 / 286 ) 10.7646239554318 0.0551046759311027 195.348648250663 Trimmed Mean ( 71 / 286 ) 10.7639664804469 0.054937667520263 195.930533025939 Trimmed Mean ( 72 / 286 ) 10.7633053221289 0.0547678192564694 196.526089010883 Trimmed Mean ( 73 / 286 ) 10.7626404494382 0.0545950730314623 197.135745990043 Trimmed Mean ( 74 / 286 ) 10.7619718309859 0.0544193690488926 197.759952367638 Trimmed Mean ( 75 / 286 ) 10.7612994350282 0.0542406457562082 198.399176208121 Trimmed Mean ( 76 / 286 ) 10.7606232294618 0.0540588397729136 199.053906348419 Trimmed Mean ( 77 / 286 ) 10.7599431818182 0.0538738858149604 199.724653587735 Trimmed Mean ( 78 / 286 ) 10.7592592592593 0.053685716615006 200.411951961388 Trimmed Mean ( 79 / 286 ) 10.7585714285714 0.0534942628382574 201.116360105765 Trimmed Mean ( 80 / 286 ) 10.7578796561605 0.0532994529935927 201.838462722191 Trimmed Mean ( 81 / 286 ) 10.7571839080460 0.0531012133396272 202.578872148263 Trimmed Mean ( 82 / 286 ) 10.7564841498559 0.0528994677853625 203.338230046093 Trimmed Mean ( 83 / 286 ) 10.7557803468208 0.0526941377850267 204.117209217856 Trimmed Mean ( 84 / 286 ) 10.7550724637681 0.052485142226678 204.916515560119 Trimmed Mean ( 85 / 286 ) 10.7543604651163 0.0522723973141061 205.736890169645 Trimmed Mean ( 86 / 286 ) 10.7551020408163 0.052167938252187 206.163064923607 Trimmed Mean ( 87 / 286 ) 10.7558479532164 0.0520615764978377 206.598583384487 Trimmed Mean ( 88 / 286 ) 10.7565982404692 0.0519532757333623 207.043696256515 Trimmed Mean ( 89 / 286 ) 10.7573529411765 0.0518429987157478 207.498663419499 Trimmed Mean ( 90 / 286 ) 10.7581120943953 0.0517307072451101 207.96375436008 Trimmed Mean ( 91 / 286 ) 10.7588757396450 0.0516163621317445 208.439248627872 Trimmed Mean ( 92 / 286 ) 10.7596439169139 0.0514999231617012 208.925436318234 Trimmed Mean ( 93 / 286 ) 10.7604166666667 0.0513813490608061 209.422618583496 Trimmed Mean ( 94 / 286 ) 10.7611940298507 0.0512605974570363 209.931108174659 Trimmed Mean ( 95 / 286 ) 10.7619760479042 0.0511376248411584 210.451230015719 Trimmed Mean ( 96 / 286 ) 10.7627627627628 0.0510123865255275 210.983321812966 Trimmed Mean ( 97 / 286 ) 10.7635542168675 0.0508848366009405 211.527734701786 Trimmed Mean ( 98 / 286 ) 10.7643504531722 0.0507549278914282 212.084833933734 Trimmed Mean ( 99 / 286 ) 10.7651515151515 0.0506226119068622 212.654999606850 Trimmed Mean ( 100 / 286 ) 10.7659574468085 0.0504878387932456 213.238627442473 Trimmed Mean ( 101 / 286 ) 10.7667682926829 0.0503505572805444 213.836129612079 Trimmed Mean ( 102 / 286 ) 10.7675840978593 0.0502107146279075 214.447935618001 Trimmed Mean ( 103 / 286 ) 10.7684049079755 0.0500682565661113 215.074493232186 Trimmed Mean ( 104 / 286 ) 10.7692307692308 0.049923127237053 215.716269497594 Trimmed Mean ( 105 / 286 ) 10.7700617283951 0.0497752691301015 216.373751797193 Trimmed Mean ( 106 / 286 ) 10.7708978328173 0.0496246230151025 217.047448996023 Trimmed Mean ( 107 / 286 ) 10.7717391304348 0.0494711278718161 217.737892662267 Trimmed Mean ( 108 / 286 ) 10.7725856697819 0.0493147208155479 218.445638373878 Trimmed Mean ( 109 / 286 ) 10.7734375 0.0491553370187176 219.171267117905 Trimmed Mean ( 110 / 286 ) 10.7734375 0.0489929096280838 219.897890976135 Trimmed Mean ( 111 / 286 ) 10.7751572327044 0.0488273696773247 220.678633805424 Trimmed Mean ( 112 / 286 ) 10.7776025236593 0.0487468089087176 221.093498527078 Trimmed Mean ( 113 / 286 ) 10.7800632911392 0.0486644020845034 221.518457627820 Trimmed Mean ( 114 / 286 ) 10.7825396825397 0.0485801100649294 221.953792779151 Trimmed Mean ( 115 / 286 ) 10.7850318471338 0.0484938926455382 222.399796320043 Trimmed Mean ( 116 / 286 ) 10.7875399361022 0.0484057085193108 222.856771775145 Trimmed Mean ( 117 / 286 ) 10.7875399361022 0.0483155152370825 223.272791010676 Trimmed Mean ( 118 / 286 ) 10.7926045016077 0.0482232691661358 223.804911782851 Trimmed Mean ( 119 / 286 ) 10.7951612903226 0.0481289254468638 224.296744423285 Trimmed Mean ( 120 / 286 ) 10.7977346278317 0.0480324379473933 224.800886427163 Trimmed Mean ( 121 / 286 ) 10.8003246753247 0.0479337592160465 225.317706183769 Trimmed Mean ( 122 / 286 ) 10.8003246753247 0.0478328404315144 225.793086463018 Trimmed Mean ( 123 / 286 ) 10.8055555555556 0.0477296313506031 226.390928439866 Trimmed Mean ( 124 / 286 ) 10.8055555555556 0.0476240802534063 226.892687440041 Trimmed Mean ( 125 / 286 ) 10.8108552631579 0.0475161338857444 227.519673405107 Trimmed Mean ( 126 / 286 ) 10.8135313531353 0.0474057373987013 228.105962411030 Trimmed Mean ( 127 / 286 ) 10.8162251655629 0.0472928342850744 228.707484528507 Trimmed Mean ( 128 / 286 ) 10.8189368770764 0.0471773663125422 229.324731808951 Trimmed Mean ( 129 / 286 ) 10.8216666666667 0.047059273453336 229.958218062959 Trimmed Mean ( 130 / 286 ) 10.8244147157191 0.0469384938101862 230.608480099334 Trimmed Mean ( 131 / 286 ) 10.8271812080537 0.0468149635382987 231.276079051009 Trimmed Mean ( 132 / 286 ) 10.8299663299663 0.0466886167630908 231.961601795148 Trimmed Mean ( 133 / 286 ) 10.8327702702703 0.0465593854934006 232.665662475415 Trimmed Mean ( 134 / 286 ) 10.8355932203390 0.0464271995298563 233.38890413519 Trimmed Mean ( 135 / 286 ) 10.8384353741497 0.0462919863680661 234.132000471390 Trimmed Mean ( 136 / 286 ) 10.839590443686 0.0463013587416109 234.109553980421 Trimmed Mean ( 137 / 286 ) 10.8407534246575 0.0463102643348004 234.089646871463 Trimmed Mean ( 138 / 286 ) 10.8419243986254 0.0463186926255586 234.0723320123 Trimmed Mean ( 139 / 286 ) 10.8431034482759 0.0463266328457461 234.057663641996 Trimmed Mean ( 140 / 286 ) 10.8442906574394 0.0463340739744275 234.045697415353 Trimmed Mean ( 141 / 286 ) 10.8454861111111 0.0463410047309214 234.036490449124 Trimmed Mean ( 142 / 286 ) 10.8466898954704 0.0463474135676237 234.030101370045 Trimmed Mean ( 143 / 286 ) 10.8479020979021 0.046353288662595 234.026590364792 Trimmed Mean ( 144 / 286 ) 10.8491228070175 0.0463586179119053 234.026019231936 Trimmed Mean ( 145 / 286 ) 10.8503521126761 0.0463633889217236 234.028451436002 Trimmed Mean ( 146 / 286 ) 10.8515901060071 0.0463675890001447 234.033952163724 Trimmed Mean ( 147 / 286 ) 10.8528368794326 0.0463712051487414 234.042588382614 Trimmed Mean ( 148 / 286 ) 10.8540925266904 0.0463742240538328 234.054428901939 Trimmed Mean ( 149 / 286 ) 10.8553571428571 0.0463766320774552 234.069544436242 Trimmed Mean ( 150 / 286 ) 10.8566308243728 0.0463784152480259 234.088007671518 Trimmed Mean ( 151 / 286 ) 10.8579136690647 0.0463795592506859 234.109893334188 Trimmed Mean ( 152 / 286 ) 10.8592057761733 0.0463800494173092 234.135278262998 Trimmed Mean ( 153 / 286 ) 10.8605072463768 0.0463798707161652 234.164241484 Trimmed Mean ( 154 / 286 ) 10.8618181818182 0.046379007741219 234.196864288772 Trimmed Mean ( 155 / 286 ) 10.8631386861314 0.0463774447010556 234.233230316032 Trimmed Mean ( 156 / 286 ) 10.8644688644689 0.0463751654074121 234.273425636826 Trimmed Mean ( 157 / 286 ) 10.8658088235294 0.0463721532633001 234.317538843486 Trimmed Mean ( 158 / 286 ) 10.8671586715867 0.0463683912507036 234.365661142531 Trimmed Mean ( 159 / 286 ) 10.8685185185185 0.0463638619178314 234.417886451744 Trimmed Mean ( 160 / 286 ) 10.8698884758364 0.0463585473659066 234.474311501625 Trimmed Mean ( 161 / 286 ) 10.8712686567164 0.0463524292354732 234.535035941476 Trimmed Mean ( 162 / 286 ) 10.8726591760300 0.0463454886921973 234.600162450342 Trimmed Mean ( 163 / 286 ) 10.8740601503759 0.046337706412143 234.669796853095 Trimmed Mean ( 164 / 286 ) 10.8754716981132 0.0463290625664968 234.744048241932 Trimmed Mean ( 165 / 286 ) 10.8768939393939 0.0463195368057192 234.823029103584 Trimmed Mean ( 166 / 286 ) 10.8783269961977 0.0463091082430951 234.906855452560 Trimmed Mean ( 167 / 286 ) 10.8797709923664 0.0462977554376571 234.995646970764 Trimmed Mean ( 168 / 286 ) 10.8812260536398 0.0462854563764525 235.089527153839 Trimmed Mean ( 169 / 286 ) 10.8826923076923 0.0462721884561251 235.188623464636 Trimmed Mean ( 170 / 286 ) 10.8841698841699 0.0462579284637776 235.293067494208 Trimmed Mean ( 171 / 286 ) 10.8856589147287 0.0462426525570835 235.402995130763 Trimmed Mean ( 172 / 286 ) 10.8871595330739 0.0462263362436117 235.518546737056 Trimmed Mean ( 173 / 286 ) 10.888671875 0.0462089543593269 235.639867336713 Trimmed Mean ( 174 / 286 ) 10.8901960784314 0.0461904810462262 235.767106810011 Trimmed Mean ( 175 / 286 ) 10.8917322834646 0.0461708897290697 235.900420099702 Trimmed Mean ( 176 / 286 ) 10.8932806324111 0.0461501530911623 236.039967427478 Trimmed Mean ( 177 / 286 ) 10.8948412698413 0.0461282430491387 236.185914521726 Trimmed Mean ( 178 / 286 ) 10.8964143426295 0.0461051307267026 236.338432857292 Trimmed Mean ( 179 / 286 ) 10.898 0.0460807864272683 236.497699907984 Trimmed Mean ( 180 / 286 ) 10.8995983935743 0.0460551796054485 236.663899412626 Trimmed Mean ( 181 / 286 ) 10.9012096774194 0.0460282788373307 236.837221655528 Trimmed Mean ( 182 / 286 ) 10.9028340080972 0.0460000517894784 237.017863762296 Trimmed Mean ( 183 / 286 ) 10.9044715447154 0.0459704651865927 237.206030011977 Trimmed Mean ( 184 / 286 ) 10.9061224489796 0.0459394847777624 237.401932166615 Trimmed Mean ( 185 / 286 ) 10.9077868852459 0.0459070753012296 237.605789819369 Trimmed Mean ( 186 / 286 ) 10.9094650205761 0.045873200447591 237.817830762428 Trimmed Mean ( 187 / 286 ) 10.9111570247934 0.04583782282135 238.038291376075 Trimmed Mean ( 188 / 286 ) 10.9128630705394 0.0458009039007306 238.267417040329 Trimmed Mean ( 189 / 286 ) 10.9145833333333 0.0457624039956583 238.505462570735 Trimmed Mean ( 190 / 286 ) 10.9163179916318 0.0457222822038037 238.752692679974 Trimmed Mean ( 191 / 286 ) 10.9180672268908 0.0456804963645835 239.009382467123 Trimmed Mean ( 192 / 286 ) 10.9198312236287 0.0456370030110004 239.275817936523 Trimmed Mean ( 193 / 286 ) 10.9216101694915 0.0455917573191999 239.552296548397 Trimmed Mean ( 194 / 286 ) 10.9234042553191 0.0455447130556108 239.839127803517 Trimmed Mean ( 195 / 286 ) 10.9252136752137 0.0454958225215287 240.136633864435 Trimmed Mean ( 196 / 286 ) 10.9270386266094 0.0454450364949915 240.445150215991 Trimmed Mean ( 197 / 286 ) 10.9288793103448 0.0453923041697833 240.765026368059 Trimmed Mean ( 198 / 286 ) 10.9307359307359 0.0453375730913957 241.096626603739 Trimmed Mean ( 199 / 286 ) 10.9326086956522 0.0452807890897581 241.440330776501 Trimmed Mean ( 200 / 286 ) 10.9344978165939 0.0452218962085385 241.796535160092 Trimmed Mean ( 201 / 286 ) 10.9364035087719 0.0451608366307987 242.165653355358 Trimmed Mean ( 202 / 286 ) 10.9383259911894 0.0450975506007749 242.548117258534 Trimmed Mean ( 203 / 286 ) 10.9402654867257 0.0450319763415338 242.944378095954 Trimmed Mean ( 204 / 286 ) 10.94 0.0451223967168622 242.451660284077 Trimmed Mean ( 205 / 286 ) 10.9397321428571 0.0452133520419140 241.957997998373 Trimmed Mean ( 206 / 286 ) 10.9394618834081 0.0453048474521264 241.463386340011 Trimmed Mean ( 207 / 286 ) 10.9391891891892 0.0453968881491174 240.967820376954 Trimmed Mean ( 208 / 286 ) 10.9389140271493 0.0454894794017061 240.471295143884 Trimmed Mean ( 209 / 286 ) 10.9386363636364 0.0455826265469502 239.973805642146 Trimmed Mean ( 210 / 286 ) 10.9383561643836 0.0456763349911992 239.475346839696 Trimmed Mean ( 211 / 286 ) 10.9380733944954 0.0457706102111658 238.975913671062 Trimmed Mean ( 212 / 286 ) 10.9377880184332 0.0458654577550140 238.475501037324 Trimmed Mean ( 213 / 286 ) 10.9375 0.0459608832434645 237.974103806094 Trimmed Mean ( 214 / 286 ) 10.9372093023256 0.046056892370918 237.471716811526 Trimmed Mean ( 215 / 286 ) 10.9369158878505 0.0461534909065962 236.968334854328 Trimmed Mean ( 216 / 286 ) 10.9366197183099 0.0462506846957008 236.463952701796 Trimmed Mean ( 217 / 286 ) 10.9363207547170 0.0463484796605908 235.958565087862 Trimmed Mean ( 218 / 286 ) 10.9360189573460 0.0464468818019777 235.452166713166 Trimmed Mean ( 219 / 286 ) 10.9357142857143 0.0465458972001396 234.944752245134 Trimmed Mean ( 220 / 286 ) 10.9357142857143 0.0466455320161535 234.442910457688 Trimmed Mean ( 221 / 286 ) 10.9350961538462 0.046745792493147 233.926853533379 Trimmed Mean ( 222 / 286 ) 10.9347826086957 0.046846684957568 233.416358459515 Trimmed Mean ( 223 / 286 ) 10.9344660194175 0.0469482158204736 232.904825632353 Trimmed Mean ( 224 / 286 ) 10.9341463414634 0.0470503915788387 232.392249555286 Trimmed Mean ( 225 / 286 ) 10.9338235294118 0.0471532188168828 231.878624699466 Trimmed Mean ( 226 / 286 ) 10.9334975369458 0.047256704207416 231.363945504055 Trimmed Mean ( 227 / 286 ) 10.9334975369458 0.0473608545132049 230.855157689298 Trimmed Mean ( 228 / 286 ) 10.9328358208955 0.0474656765883571 230.331401692844 Trimmed Mean ( 229 / 286 ) 10.9325 0.0475711773797247 229.813525798071 Trimmed Mean ( 230 / 286 ) 10.9321608040201 0.0476773639283271 229.294573006475 Trimmed Mean ( 231 / 286 ) 10.9318181818182 0.0477842433707931 228.774537602074 Trimmed Mean ( 232 / 286 ) 10.9314720812183 0.0478918229408212 228.253413839061 Trimmed Mean ( 233 / 286 ) 10.9311224489796 0.0480001099706591 227.731195942289 Trimmed Mean ( 234 / 286 ) 10.9311224489796 0.0481091118926021 227.215220130898 Trimmed Mean ( 235 / 286 ) 10.9304123711340 0.0482188362405087 226.683454503437 Trimmed Mean ( 236 / 286 ) 10.9300518134715 0.0483292906513354 226.157919269388 Trimmed Mean ( 237 / 286 ) 10.9300518134715 0.0484404828666883 225.638787366175 Trimmed Mean ( 238 / 286 ) 10.9293193717277 0.048552420734393 225.10349033917 Trimmed Mean ( 239 / 286 ) 10.9289473684211 0.0486651122100805 224.574584791715 Trimmed Mean ( 240 / 286 ) 10.9285714285714 0.0487785653587899 224.044543913633 Trimmed Mean ( 241 / 286 ) 10.9285714285714 0.0488927883565872 223.521132582308 Trimmed Mean ( 242 / 286 ) 10.9278074866310 0.0490077894921986 222.981032196332 Trimmed Mean ( 243 / 286 ) 10.9274193548387 0.0491235771686592 222.447549316714 Trimmed Mean ( 244 / 286 ) 10.9274193548387 0.0492401599049743 221.920874666672 Trimmed Mean ( 245 / 286 ) 10.9266304347826 0.049357546337795 221.377099258592 Trimmed Mean ( 246 / 286 ) 10.9262295081967 0.0494757452231038 220.840119919901 Trimmed Mean ( 247 / 286 ) 10.9258241758242 0.0495947654379125 220.301962905786 Trimmed Mean ( 248 / 286 ) 10.9258241758242 0.0497146159819687 219.770865368586 Trimmed Mean ( 249 / 286 ) 10.925 0.0498353059794707 219.222091352273 Trimmed Mean ( 250 / 286 ) 10.9245810055866 0.0499568446807895 218.680364530459 Trimmed Mean ( 251 / 286 ) 10.9245810055866 0.050079241464195 218.145896107418 Trimmed Mean ( 252 / 286 ) 10.9237288135593 0.0502025058375864 217.593298009853 Trimmed Mean ( 253 / 286 ) 10.9232954545455 0.0503266474402237 217.047945971759 Trimmed Mean ( 254 / 286 ) 10.9228571428571 0.0504516760444585 216.501373179987 Trimmed Mean ( 255 / 286 ) 10.9224137931034 0.0505776015574614 215.953573454733 Trimmed Mean ( 256 / 286 ) 10.9219653179191 0.0507044340229444 215.404540616246 Trimmed Mean ( 257 / 286 ) 10.9215116279070 0.0508321836228751 214.85426848734 Trimmed Mean ( 258 / 286 ) 10.9210526315789 0.0509608606791787 214.302750896062 Trimmed Mean ( 259 / 286 ) 10.9205882352941 0.0510904756554266 213.749981678516 Trimmed Mean ( 260 / 286 ) 10.9201183431953 0.0512210391585063 213.195954681871 Trimmed Mean ( 261 / 286 ) 10.9196428571429 0.0513525619402696 212.640663767544 Trimmed Mean ( 262 / 286 ) 10.9191616766467 0.0514850548991543 212.084102814583 Trimmed Mean ( 263 / 286 ) 10.9186746987952 0.0516185290817765 211.526265723250 Trimmed Mean ( 264 / 286 ) 10.9181818181818 0.0517529956844858 210.967146418827 Trimmed Mean ( 265 / 286 ) 10.9176829268293 0.0518884660548808 210.406738855644 Trimmed Mean ( 266 / 286 ) 10.9171779141104 0.0520249516932778 209.845037021362 Trimmed Mean ( 267 / 286 ) 10.9166666666667 0.0521624642541265 209.282034941496 Trimmed Mean ( 268 / 286 ) 10.9161490683230 0.0523010155473663 208.717726684232 Trimmed Mean ( 269 / 286 ) 10.915625 0.0524406175397154 208.152106365512 Trimmed Mean ( 270 / 286 ) 10.9150943396226 0.0525812823558854 207.585168154441 Trimmed Mean ( 271 / 286 ) 10.9145569620253 0.0527230222797124 207.016906279009 Trimmed Mean ( 272 / 286 ) 10.9140127388535 0.0528658497551952 206.447315032158 Trimmed Mean ( 273 / 286 ) 10.9134615384615 0.053009777387431 205.876388778218 Trimmed Mean ( 274 / 286 ) 10.9129032258065 0.0531548179434377 205.304121959724 Trimmed Mean ( 275 / 286 ) 10.9123376623377 0.0533009843528499 204.730509104645 Trimmed Mean ( 276 / 286 ) 10.9117647058824 0.0534482897084783 204.155544834047 Trimmed Mean ( 277 / 286 ) 10.9111842105263 0.0535967472667157 203.57922387022 Trimmed Mean ( 278 / 286 ) 10.9105960264901 0.053746370447778 203.001541045292 Trimmed Mean ( 279 / 286 ) 10.91 0.0538971728357606 202.422491310365 Trimmed Mean ( 280 / 286 ) 10.9093959731544 0.0540491681784963 201.842069745205 Trimmed Mean ( 281 / 286 ) 10.9087837837838 0.0542023703871934 201.260271568515 Trimmed Mean ( 282 / 286 ) 10.9081632653061 0.0543567935358342 200.677092148841 Trimmed Mean ( 283 / 286 ) 10.9075342465753 0.0545124518603134 200.092527016132 Trimmed Mean ( 284 / 286 ) 10.9068965517241 0.0546693597572895 199.506571874016 Trimmed Mean ( 285 / 286 ) 10.90625 0.0548275317827274 198.919222612823 Trimmed Mean ( 286 / 286 ) 10.9055944055944 0.0549869826501004 198.330475323408 Median 11 Midrange 50 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 858

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jul/15/t1216127580fapnl5kcjum69g9/1r0bc1216127509.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jul/15/t1216127580fapnl5kcjum69g9/1r0bc1216127509.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jul/15/t1216127580fapnl5kcjum69g9/2ibm31216127509.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jul/15/t1216127580fapnl5kcjum69g9/2ibm31216127509.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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