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R Software Module

rwasp_centraltendency.wasp

Title produced by software

Central Tendency

Date of computation

Thu, 01 Feb 2018 09:15:29 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Feb/01/t1517472958ui2jxe3onhexsty.htm/, Retrieved Sun, 28 Apr 2024 21:38:04 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=313385, Retrieved Sun, 28 Apr 2024 21:38:04 +0000

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Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Central Tendency] [] [2018-02-01 08:15:29] [e148a3deb2f75bb475cf14ca194361cd] [Current]

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-0.270096990242572
-2.83938851500223
1.31112863011639
2.26534996028991
-2.45887091597574
-0.739739795629302
-0.314039824610975
-0.045516973213786
-2.17873246542332
0.896502041399788
-1.64980590844685
-0.945354943930378
1.24064313789498
-0.90025807190402
-0.0183074896553527
-0.488747765141304
1.62751960087592
0.659959918014674
1.95087878670568
0.758440102331991
0.00558045898141521
0.694059074966072
0.0701088748879439
0.403518543704449
2.11599328335513
1.16548381140205
-0.2924014630218
-1.4253843699968
-0.0119760359294385
1.19831590686934
-1.29802214785058
2.25135333848693
1.20790475417827
-1.85958552218103
0.680545492499965
2.76757277069594
-0.676166734570098
-2.53078207599757
0.146828227028115
-1.34566659802519
-0.128291179101025
0.958141948906463
2.59146787966895
-2.80221987240544
1.38189090594168
1.17087992838978
-1.59215765057155
1.78919477515355
-1.17905197965409
-1.43077678906591
1.60575985097713
-2.50013431385325
-1.16535336854173
1.07464555049597
-1.27318667108222
-1.87431686534708
0.687385172667827
-1.86010670811008
0.254848444766776
0.525068480474704
-1.21267884068499
3.09819170854478
-1.87018587445691
-1.32686070182552
-0.916936750211592
-1.58154337049994
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1.35818265591755
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0.636087611994097
1.1642553268757
0.400124915772811
2.73284989314413
1.43465099158152
-0.717610621052914
0.762358470078675
-0.696688414925489
0.887221194502552
0.597744426220831
1.20578433457515
3.15643215457936
-4.22421919592631
1.15542532166165
1.29267880752615
0.724510103791854
-1.79708810037473
2.70548835430491
-1.457217399144
1.89921804432218
-0.00968304773334668
1.253294546374
-2.28899226089855
1.61991446446214
1.32093445698471
-2.13083341998749
-0.768663292504901
2.35934817062887
-1.19458614271828
-0.294132327419837
-0.26408649641533
-0.907218507839397
0.281176777192964
0.2602602043707
1.44927084003561
-0.612190658284914
0.469094656193618
-1.65108059389991
0.614830045804723
2.58439515354443
-1.76446275458971
-1.10263608788467
0.843061126781377
-0.442496292907784
0.36719616614806
-0.529883115013018
0.643037627374611
2.71151254830897
0.415117962300421
1.35114058953603
-2.22270780054162
0.142301781297203
1.49601558853583
0.44026143948047
0.269067458868226
-1.31907518922478
1.05072517127765
1.83464663145827
1.01449168128109
-5.21288583710781
-1.45629181792359
-1.05805493956999
-1.03350113902083
-1.01804266982608
-0.683878515330615
-3.16285247821678
-1.48710554156256
-2.14226289548859
-1.36135457292782
-1.02947728642671
2.20635862238311
0.449944068708206
-1.25682333421454
-1.62109432019935
2.57895040629415
-1.05330715786377
3.19927467189838
-1.99835556237605
1.9665332817563
1.02948979874
0.398667241171913
2.83573890122594
2.94078489003319
1.21742841087809
-3.06513919863533
-1.4336755975111
1.56443709901066
1.09304165230242
-4.2679800147647
0.429687707440449
0.310612603133164
0.0978277642258467
-1.08970390663593
2.09368317021791
-1.21276182860916
-2.2929755725138
-0.950726933133596
4.05322441520673
1.26084577837894
-0.553807850647248
2.42269500542681
-3.4024010352397
0.0813619628550185
-0.634515357715159
-1.5995767774932
-3.4316540556571
2.08624496909194
0.626488527755343
0.974527479425865
1.00355810754479

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=313385&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

2 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=313385&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=313385&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	Big Analytics Cloud Computing Center

Central Tendency - Ungrouped Data
Measure	Value	S.E.	Value/S.E.
Arithmetic Mean	2.72342e-16	0.124303	2.19095e-15
Geometric Mean	NaN
Harmonic Mean	-8.43892
Quadratic Mean	1.65841
Winsorized Mean ( 1 / 59 )	0.000508135	0.122375	0.00415226
Winsorized Mean ( 2 / 59 )	0.000518395	0.12221	0.00424184
Winsorized Mean ( 3 / 59 )	0.0128255	0.119703	0.107145
Winsorized Mean ( 4 / 59 )	0.00996174	0.119099	0.0836422
Winsorized Mean ( 5 / 59 )	0.0137188	0.117653	0.116604
Winsorized Mean ( 6 / 59 )	0.0147092	0.116857	0.125874
Winsorized Mean ( 7 / 59 )	0.0221796	0.115409	0.192183
Winsorized Mean ( 8 / 59 )	0.0228871	0.115053	0.198927
Winsorized Mean ( 9 / 59 )	0.0362319	0.113202	0.320066
Winsorized Mean ( 10 / 59 )	0.0315742	0.112154	0.281527
Winsorized Mean ( 11 / 59 )	0.0336753	0.111778	0.301269
Winsorized Mean ( 12 / 59 )	0.0444318	0.110373	0.402561
Winsorized Mean ( 13 / 59 )	0.0333729	0.108907	0.306436
Winsorized Mean ( 14 / 59 )	0.0336027	0.107685	0.312046
Winsorized Mean ( 15 / 59 )	0.0294108	0.10631	0.276652
Winsorized Mean ( 16 / 59 )	0.0314196	0.105784	0.297017
Winsorized Mean ( 17 / 59 )	0.0282318	0.105158	0.268471
Winsorized Mean ( 18 / 59 )	0.0324666	0.102602	0.316434
Winsorized Mean ( 19 / 59 )	0.0432646	0.100896	0.428804
Winsorized Mean ( 20 / 59 )	0.0428951	0.100752	0.425749
Winsorized Mean ( 21 / 59 )	0.0300332	0.099054	0.3032
Winsorized Mean ( 22 / 59 )	0.0281732	0.0988363	0.285049
Winsorized Mean ( 23 / 59 )	0.0295656	0.0972606	0.303984
Winsorized Mean ( 24 / 59 )	0.0252824	0.0958739	0.263704
Winsorized Mean ( 25 / 59 )	0.0347698	0.0935709	0.371588
Winsorized Mean ( 26 / 59 )	0.0114714	0.0911447	0.12586
Winsorized Mean ( 27 / 59 )	0.0146551	0.0905891	0.161776
Winsorized Mean ( 28 / 59 )	0.0158068	0.0900287	0.175576
Winsorized Mean ( 29 / 59 )	0.0103141	0.0892479	0.115567
Winsorized Mean ( 30 / 59 )	0.000625711	0.0879596	0.00711362
Winsorized Mean ( 31 / 59 )	0.00888541	0.0855602	0.10385
Winsorized Mean ( 32 / 59 )	0.0116149	0.0847909	0.136983
Winsorized Mean ( 33 / 59 )	0.00205885	0.0838662	0.0245493
Winsorized Mean ( 34 / 59 )	0.00185143	0.083033	0.0222975
Winsorized Mean ( 35 / 59 )	0.00104129	0.0828517	0.0125682
Winsorized Mean ( 36 / 59 )	-0.00394917	0.0821932	-0.0480474
Winsorized Mean ( 37 / 59 )	0.00725913	0.0807362	0.0899117
Winsorized Mean ( 38 / 59 )	0.00667282	0.0800652	0.0833423
Winsorized Mean ( 39 / 59 )	0.0038345	0.0790544	0.0485046
Winsorized Mean ( 40 / 59 )	0.00388686	0.0787394	0.0493636
Winsorized Mean ( 41 / 59 )	0.00581125	0.0780275	0.074477
Winsorized Mean ( 42 / 59 )	0.00619154	0.0769992	0.0804105
Winsorized Mean ( 43 / 59 )	0.00783459	0.076431	0.102505
Winsorized Mean ( 44 / 59 )	0.0181441	0.0753847	0.240687
Winsorized Mean ( 45 / 59 )	0.0162875	0.0752169	0.21654
Winsorized Mean ( 46 / 59 )	0.0138864	0.0741705	0.187223
Winsorized Mean ( 47 / 59 )	0.0165483	0.0736737	0.224617
Winsorized Mean ( 48 / 59 )	0.0198923	0.0733106	0.271343
Winsorized Mean ( 49 / 59 )	0.0346435	0.0715518	0.484174
Winsorized Mean ( 50 / 59 )	0.0208303	0.0697091	0.298817
Winsorized Mean ( 51 / 59 )	0.0246062	0.0684527	0.359464
Winsorized Mean ( 52 / 59 )	0.0190365	0.0677333	0.281052
Winsorized Mean ( 53 / 59 )	0.0186133	0.0666758	0.279162
Winsorized Mean ( 54 / 59 )	0.0153027	0.0661836	0.231215
Winsorized Mean ( 55 / 59 )	0.0154566	0.0655876	0.235664
Winsorized Mean ( 56 / 59 )	0.0274341	0.0629682	0.435682
Winsorized Mean ( 57 / 59 )	0.023927	0.0623789	0.383575
Winsorized Mean ( 58 / 59 )	0.0131624	0.0599077	0.219711
Winsorized Mean ( 59 / 59 )	0.0133066	0.0593753	0.224109
Trimmed Mean ( 1 / 59 )	0.00655176	0.120015	0.0545914
Trimmed Mean ( 2 / 59 )	0.0127335	0.117476	0.108393
Trimmed Mean ( 3 / 59 )	0.0190529	0.114833	0.165918
Trimmed Mean ( 4 / 59 )	0.0212258	0.11297	0.18789
Trimmed Mean ( 5 / 59 )	0.0242085	0.111148	0.217805
Trimmed Mean ( 6 / 59 )	0.0264572	0.109548	0.241512
Trimmed Mean ( 7 / 59 )	0.0285813	0.107997	0.264648
Trimmed Mean ( 8 / 59 )	0.0295856	0.106601	0.277534
Trimmed Mean ( 9 / 59 )	0.0305165	0.105159	0.290195
Trimmed Mean ( 10 / 59 )	0.0298016	0.10389	0.286856
Trimmed Mean ( 11 / 59 )	0.0295995	0.102672	0.288291
Trimmed Mean ( 12 / 59 )	0.0291716	0.101407	0.287668
Trimmed Mean ( 13 / 59 )	0.0276838	0.100217	0.276238
Trimmed Mean ( 14 / 59 )	0.027165	0.0991058	0.274101
Trimmed Mean ( 15 / 59 )	0.027165	0.0980414	0.277077
Trimmed Mean ( 16 / 59 )	0.0263854	0.0970372	0.271911
Trimmed Mean ( 17 / 59 )	0.025997	0.0960018	0.270797
Trimmed Mean ( 18 / 59 )	0.0258325	0.0949403	0.272092
Trimmed Mean ( 19 / 59 )	0.0253646	0.0940384	0.269726
Trimmed Mean ( 20 / 59 )	0.0241514	0.0932165	0.259089
Trimmed Mean ( 21 / 59 )	0.0229269	0.0923308	0.248312
Trimmed Mean ( 22 / 59 )	0.0224782	0.0915181	0.245615
Trimmed Mean ( 23 / 59 )	0.0221298	0.0906462	0.244133
Trimmed Mean ( 24 / 59 )	0.021688	0.0898292	0.241436
Trimmed Mean ( 25 / 59 )	0.0214802	0.0890515	0.241211
Trimmed Mean ( 26 / 59 )	0.020731	0.0883901	0.23454
Trimmed Mean ( 27 / 59 )	0.0212409	0.0878591	0.241761
Trimmed Mean ( 28 / 59 )	0.0215959	0.0873114	0.247344
Trimmed Mean ( 29 / 59 )	0.0219018	0.0867444	0.252486
Trimmed Mean ( 30 / 59 )	0.0219018	0.0861728	0.254161
Trimmed Mean ( 31 / 59 )	0.0236185	0.085635	0.275804
Trimmed Mean ( 32 / 59 )	0.0243582	0.0852212	0.285824
Trimmed Mean ( 33 / 59 )	0.0249891	0.0848091	0.294651
Trimmed Mean ( 34 / 59 )	0.0261096	0.0844085	0.309324
Trimmed Mean ( 35 / 59 )	0.0272813	0.0840126	0.324728
Trimmed Mean ( 36 / 59 )	0.0285355	0.0835687	0.341461
Trimmed Mean ( 37 / 59 )	0.0300738	0.0831087	0.36186
Trimmed Mean ( 38 / 59 )	0.0311453	0.0826967	0.376621
Trimmed Mean ( 39 / 59 )	0.0322867	0.0822701	0.392448
Trimmed Mean ( 40 / 59 )	0.0336058	0.0818538	0.410559
Trimmed Mean ( 41 / 59 )	0.0349768	0.0813903	0.429742
Trimmed Mean ( 42 / 59 )	0.0363172	0.0809072	0.448875
Trimmed Mean ( 43 / 59 )	0.0376978	0.0804277	0.468716
Trimmed Mean ( 44 / 59 )	0.0390638	0.0799116	0.488838
Trimmed Mean ( 45 / 59 )	0.0400201	0.0793968	0.504051
Trimmed Mean ( 46 / 59 )	0.0411052	0.0788015	0.521629
Trimmed Mean ( 47 / 59 )	0.0423513	0.0781951	0.54161
Trimmed Mean ( 48 / 59 )	0.0435352	0.0775241	0.56157
Trimmed Mean ( 49 / 59 )	0.0446237	0.0767657	0.581298
Trimmed Mean ( 50 / 59 )	0.0450852	0.0760476	0.592855
Trimmed Mean ( 51 / 59 )	0.0450852	0.0753782	0.598121
Trimmed Mean ( 52 / 59 )	0.0472241	0.0747044	0.632146
Trimmed Mean ( 53 / 59 )	0.0485532	0.0739652	0.656433
Trimmed Mean ( 54 / 59 )	0.0499774	0.0731878	0.682865
Trimmed Mean ( 55 / 59 )	0.0516432	0.0722992	0.714299
Trimmed Mean ( 56 / 59 )	0.053401	0.0712925	0.749042
Trimmed Mean ( 57 / 59 )	0.054678	0.0704014	0.77666
Trimmed Mean ( 58 / 59 )	0.0562108	0.0693803	0.810184
Trimmed Mean ( 59 / 59 )	0.0583888	0.0684501	0.853013
Median	0.142302
Midrange	-0.579831
Midmean - Weighted Average at Xnp	0.0261003
Midmean - Weighted Average at X(n+1)p	0.0390638
Midmean - Empirical Distribution Function	0.0390638
Midmean - Empirical Distribution Function - Averaging	0.0390638
Midmean - Empirical Distribution Function - Interpolation	0.0400201
Midmean - Closest Observation	0.0261003
Midmean - True Basic - Statistics Graphics Toolkit	0.0390638
Midmean - MS Excel (old versions)	0.0390638
Number of observations	179

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 2.72342e-16 & 0.124303 & 2.19095e-15 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & -8.43892 &  &  \tabularnewline
Quadratic Mean & 1.65841 &  &  \tabularnewline
Winsorized Mean ( 1 / 59 ) & 0.000508135 & 0.122375 & 0.00415226 \tabularnewline
Winsorized Mean ( 2 / 59 ) & 0.000518395 & 0.12221 & 0.00424184 \tabularnewline
Winsorized Mean ( 3 / 59 ) & 0.0128255 & 0.119703 & 0.107145 \tabularnewline
Winsorized Mean ( 4 / 59 ) & 0.00996174 & 0.119099 & 0.0836422 \tabularnewline
Winsorized Mean ( 5 / 59 ) & 0.0137188 & 0.117653 & 0.116604 \tabularnewline
Winsorized Mean ( 6 / 59 ) & 0.0147092 & 0.116857 & 0.125874 \tabularnewline
Winsorized Mean ( 7 / 59 ) & 0.0221796 & 0.115409 & 0.192183 \tabularnewline
Winsorized Mean ( 8 / 59 ) & 0.0228871 & 0.115053 & 0.198927 \tabularnewline
Winsorized Mean ( 9 / 59 ) & 0.0362319 & 0.113202 & 0.320066 \tabularnewline
Winsorized Mean ( 10 / 59 ) & 0.0315742 & 0.112154 & 0.281527 \tabularnewline
Winsorized Mean ( 11 / 59 ) & 0.0336753 & 0.111778 & 0.301269 \tabularnewline
Winsorized Mean ( 12 / 59 ) & 0.0444318 & 0.110373 & 0.402561 \tabularnewline
Winsorized Mean ( 13 / 59 ) & 0.0333729 & 0.108907 & 0.306436 \tabularnewline
Winsorized Mean ( 14 / 59 ) & 0.0336027 & 0.107685 & 0.312046 \tabularnewline
Winsorized Mean ( 15 / 59 ) & 0.0294108 & 0.10631 & 0.276652 \tabularnewline
Winsorized Mean ( 16 / 59 ) & 0.0314196 & 0.105784 & 0.297017 \tabularnewline
Winsorized Mean ( 17 / 59 ) & 0.0282318 & 0.105158 & 0.268471 \tabularnewline
Winsorized Mean ( 18 / 59 ) & 0.0324666 & 0.102602 & 0.316434 \tabularnewline
Winsorized Mean ( 19 / 59 ) & 0.0432646 & 0.100896 & 0.428804 \tabularnewline
Winsorized Mean ( 20 / 59 ) & 0.0428951 & 0.100752 & 0.425749 \tabularnewline
Winsorized Mean ( 21 / 59 ) & 0.0300332 & 0.099054 & 0.3032 \tabularnewline
Winsorized Mean ( 22 / 59 ) & 0.0281732 & 0.0988363 & 0.285049 \tabularnewline
Winsorized Mean ( 23 / 59 ) & 0.0295656 & 0.0972606 & 0.303984 \tabularnewline
Winsorized Mean ( 24 / 59 ) & 0.0252824 & 0.0958739 & 0.263704 \tabularnewline
Winsorized Mean ( 25 / 59 ) & 0.0347698 & 0.0935709 & 0.371588 \tabularnewline
Winsorized Mean ( 26 / 59 ) & 0.0114714 & 0.0911447 & 0.12586 \tabularnewline
Winsorized Mean ( 27 / 59 ) & 0.0146551 & 0.0905891 & 0.161776 \tabularnewline
Winsorized Mean ( 28 / 59 ) & 0.0158068 & 0.0900287 & 0.175576 \tabularnewline
Winsorized Mean ( 29 / 59 ) & 0.0103141 & 0.0892479 & 0.115567 \tabularnewline
Winsorized Mean ( 30 / 59 ) & 0.000625711 & 0.0879596 & 0.00711362 \tabularnewline
Winsorized Mean ( 31 / 59 ) & 0.00888541 & 0.0855602 & 0.10385 \tabularnewline
Winsorized Mean ( 32 / 59 ) & 0.0116149 & 0.0847909 & 0.136983 \tabularnewline
Winsorized Mean ( 33 / 59 ) & 0.00205885 & 0.0838662 & 0.0245493 \tabularnewline
Winsorized Mean ( 34 / 59 ) & 0.00185143 & 0.083033 & 0.0222975 \tabularnewline
Winsorized Mean ( 35 / 59 ) & 0.00104129 & 0.0828517 & 0.0125682 \tabularnewline
Winsorized Mean ( 36 / 59 ) & -0.00394917 & 0.0821932 & -0.0480474 \tabularnewline
Winsorized Mean ( 37 / 59 ) & 0.00725913 & 0.0807362 & 0.0899117 \tabularnewline
Winsorized Mean ( 38 / 59 ) & 0.00667282 & 0.0800652 & 0.0833423 \tabularnewline
Winsorized Mean ( 39 / 59 ) & 0.0038345 & 0.0790544 & 0.0485046 \tabularnewline
Winsorized Mean ( 40 / 59 ) & 0.00388686 & 0.0787394 & 0.0493636 \tabularnewline
Winsorized Mean ( 41 / 59 ) & 0.00581125 & 0.0780275 & 0.074477 \tabularnewline
Winsorized Mean ( 42 / 59 ) & 0.00619154 & 0.0769992 & 0.0804105 \tabularnewline
Winsorized Mean ( 43 / 59 ) & 0.00783459 & 0.076431 & 0.102505 \tabularnewline
Winsorized Mean ( 44 / 59 ) & 0.0181441 & 0.0753847 & 0.240687 \tabularnewline
Winsorized Mean ( 45 / 59 ) & 0.0162875 & 0.0752169 & 0.21654 \tabularnewline
Winsorized Mean ( 46 / 59 ) & 0.0138864 & 0.0741705 & 0.187223 \tabularnewline
Winsorized Mean ( 47 / 59 ) & 0.0165483 & 0.0736737 & 0.224617 \tabularnewline
Winsorized Mean ( 48 / 59 ) & 0.0198923 & 0.0733106 & 0.271343 \tabularnewline
Winsorized Mean ( 49 / 59 ) & 0.0346435 & 0.0715518 & 0.484174 \tabularnewline
Winsorized Mean ( 50 / 59 ) & 0.0208303 & 0.0697091 & 0.298817 \tabularnewline
Winsorized Mean ( 51 / 59 ) & 0.0246062 & 0.0684527 & 0.359464 \tabularnewline
Winsorized Mean ( 52 / 59 ) & 0.0190365 & 0.0677333 & 0.281052 \tabularnewline
Winsorized Mean ( 53 / 59 ) & 0.0186133 & 0.0666758 & 0.279162 \tabularnewline
Winsorized Mean ( 54 / 59 ) & 0.0153027 & 0.0661836 & 0.231215 \tabularnewline
Winsorized Mean ( 55 / 59 ) & 0.0154566 & 0.0655876 & 0.235664 \tabularnewline
Winsorized Mean ( 56 / 59 ) & 0.0274341 & 0.0629682 & 0.435682 \tabularnewline
Winsorized Mean ( 57 / 59 ) & 0.023927 & 0.0623789 & 0.383575 \tabularnewline
Winsorized Mean ( 58 / 59 ) & 0.0131624 & 0.0599077 & 0.219711 \tabularnewline
Winsorized Mean ( 59 / 59 ) & 0.0133066 & 0.0593753 & 0.224109 \tabularnewline
Trimmed Mean ( 1 / 59 ) & 0.00655176 & 0.120015 & 0.0545914 \tabularnewline
Trimmed Mean ( 2 / 59 ) & 0.0127335 & 0.117476 & 0.108393 \tabularnewline
Trimmed Mean ( 3 / 59 ) & 0.0190529 & 0.114833 & 0.165918 \tabularnewline
Trimmed Mean ( 4 / 59 ) & 0.0212258 & 0.11297 & 0.18789 \tabularnewline
Trimmed Mean ( 5 / 59 ) & 0.0242085 & 0.111148 & 0.217805 \tabularnewline
Trimmed Mean ( 6 / 59 ) & 0.0264572 & 0.109548 & 0.241512 \tabularnewline
Trimmed Mean ( 7 / 59 ) & 0.0285813 & 0.107997 & 0.264648 \tabularnewline
Trimmed Mean ( 8 / 59 ) & 0.0295856 & 0.106601 & 0.277534 \tabularnewline
Trimmed Mean ( 9 / 59 ) & 0.0305165 & 0.105159 & 0.290195 \tabularnewline
Trimmed Mean ( 10 / 59 ) & 0.0298016 & 0.10389 & 0.286856 \tabularnewline
Trimmed Mean ( 11 / 59 ) & 0.0295995 & 0.102672 & 0.288291 \tabularnewline
Trimmed Mean ( 12 / 59 ) & 0.0291716 & 0.101407 & 0.287668 \tabularnewline
Trimmed Mean ( 13 / 59 ) & 0.0276838 & 0.100217 & 0.276238 \tabularnewline
Trimmed Mean ( 14 / 59 ) & 0.027165 & 0.0991058 & 0.274101 \tabularnewline
Trimmed Mean ( 15 / 59 ) & 0.027165 & 0.0980414 & 0.277077 \tabularnewline
Trimmed Mean ( 16 / 59 ) & 0.0263854 & 0.0970372 & 0.271911 \tabularnewline
Trimmed Mean ( 17 / 59 ) & 0.025997 & 0.0960018 & 0.270797 \tabularnewline
Trimmed Mean ( 18 / 59 ) & 0.0258325 & 0.0949403 & 0.272092 \tabularnewline
Trimmed Mean ( 19 / 59 ) & 0.0253646 & 0.0940384 & 0.269726 \tabularnewline
Trimmed Mean ( 20 / 59 ) & 0.0241514 & 0.0932165 & 0.259089 \tabularnewline
Trimmed Mean ( 21 / 59 ) & 0.0229269 & 0.0923308 & 0.248312 \tabularnewline
Trimmed Mean ( 22 / 59 ) & 0.0224782 & 0.0915181 & 0.245615 \tabularnewline
Trimmed Mean ( 23 / 59 ) & 0.0221298 & 0.0906462 & 0.244133 \tabularnewline
Trimmed Mean ( 24 / 59 ) & 0.021688 & 0.0898292 & 0.241436 \tabularnewline
Trimmed Mean ( 25 / 59 ) & 0.0214802 & 0.0890515 & 0.241211 \tabularnewline
Trimmed Mean ( 26 / 59 ) & 0.020731 & 0.0883901 & 0.23454 \tabularnewline
Trimmed Mean ( 27 / 59 ) & 0.0212409 & 0.0878591 & 0.241761 \tabularnewline
Trimmed Mean ( 28 / 59 ) & 0.0215959 & 0.0873114 & 0.247344 \tabularnewline
Trimmed Mean ( 29 / 59 ) & 0.0219018 & 0.0867444 & 0.252486 \tabularnewline
Trimmed Mean ( 30 / 59 ) & 0.0219018 & 0.0861728 & 0.254161 \tabularnewline
Trimmed Mean ( 31 / 59 ) & 0.0236185 & 0.085635 & 0.275804 \tabularnewline
Trimmed Mean ( 32 / 59 ) & 0.0243582 & 0.0852212 & 0.285824 \tabularnewline
Trimmed Mean ( 33 / 59 ) & 0.0249891 & 0.0848091 & 0.294651 \tabularnewline
Trimmed Mean ( 34 / 59 ) & 0.0261096 & 0.0844085 & 0.309324 \tabularnewline
Trimmed Mean ( 35 / 59 ) & 0.0272813 & 0.0840126 & 0.324728 \tabularnewline
Trimmed Mean ( 36 / 59 ) & 0.0285355 & 0.0835687 & 0.341461 \tabularnewline
Trimmed Mean ( 37 / 59 ) & 0.0300738 & 0.0831087 & 0.36186 \tabularnewline
Trimmed Mean ( 38 / 59 ) & 0.0311453 & 0.0826967 & 0.376621 \tabularnewline
Trimmed Mean ( 39 / 59 ) & 0.0322867 & 0.0822701 & 0.392448 \tabularnewline
Trimmed Mean ( 40 / 59 ) & 0.0336058 & 0.0818538 & 0.410559 \tabularnewline
Trimmed Mean ( 41 / 59 ) & 0.0349768 & 0.0813903 & 0.429742 \tabularnewline
Trimmed Mean ( 42 / 59 ) & 0.0363172 & 0.0809072 & 0.448875 \tabularnewline
Trimmed Mean ( 43 / 59 ) & 0.0376978 & 0.0804277 & 0.468716 \tabularnewline
Trimmed Mean ( 44 / 59 ) & 0.0390638 & 0.0799116 & 0.488838 \tabularnewline
Trimmed Mean ( 45 / 59 ) & 0.0400201 & 0.0793968 & 0.504051 \tabularnewline
Trimmed Mean ( 46 / 59 ) & 0.0411052 & 0.0788015 & 0.521629 \tabularnewline
Trimmed Mean ( 47 / 59 ) & 0.0423513 & 0.0781951 & 0.54161 \tabularnewline
Trimmed Mean ( 48 / 59 ) & 0.0435352 & 0.0775241 & 0.56157 \tabularnewline
Trimmed Mean ( 49 / 59 ) & 0.0446237 & 0.0767657 & 0.581298 \tabularnewline
Trimmed Mean ( 50 / 59 ) & 0.0450852 & 0.0760476 & 0.592855 \tabularnewline
Trimmed Mean ( 51 / 59 ) & 0.0450852 & 0.0753782 & 0.598121 \tabularnewline
Trimmed Mean ( 52 / 59 ) & 0.0472241 & 0.0747044 & 0.632146 \tabularnewline
Trimmed Mean ( 53 / 59 ) & 0.0485532 & 0.0739652 & 0.656433 \tabularnewline
Trimmed Mean ( 54 / 59 ) & 0.0499774 & 0.0731878 & 0.682865 \tabularnewline
Trimmed Mean ( 55 / 59 ) & 0.0516432 & 0.0722992 & 0.714299 \tabularnewline
Trimmed Mean ( 56 / 59 ) & 0.053401 & 0.0712925 & 0.749042 \tabularnewline
Trimmed Mean ( 57 / 59 ) & 0.054678 & 0.0704014 & 0.77666 \tabularnewline
Trimmed Mean ( 58 / 59 ) & 0.0562108 & 0.0693803 & 0.810184 \tabularnewline
Trimmed Mean ( 59 / 59 ) & 0.0583888 & 0.0684501 & 0.853013 \tabularnewline
Median & 0.142302 &  &  \tabularnewline
Midrange & -0.579831 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 0.0261003 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 0.0390638 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 0.0390638 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 0.0390638 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 0.0400201 &  &  \tabularnewline
Midmean - Closest Observation & 0.0261003 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 0.0390638 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 0.0390638 &  &  \tabularnewline
Number of observations & 179 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=313385&T=1

[TABLE]
[ROW][C]Central Tendency - Ungrouped Data[/C][/ROW]
[ROW][C]Measure[/C][C]Value[/C][C]S.E.[/C][C]Value/S.E.[/C][/ROW]
[ROW][C]Arithmetic Mean[/C][C]2.72342e-16[/C][C]0.124303[/C][C]2.19095e-15[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]-8.43892[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]1.65841[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 59 )[/C][C]0.000508135[/C][C]0.122375[/C][C]0.00415226[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 59 )[/C][C]0.000518395[/C][C]0.12221[/C][C]0.00424184[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 59 )[/C][C]0.0128255[/C][C]0.119703[/C][C]0.107145[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 59 )[/C][C]0.00996174[/C][C]0.119099[/C][C]0.0836422[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 59 )[/C][C]0.0137188[/C][C]0.117653[/C][C]0.116604[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 59 )[/C][C]0.0147092[/C][C]0.116857[/C][C]0.125874[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 59 )[/C][C]0.0221796[/C][C]0.115409[/C][C]0.192183[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 59 )[/C][C]0.0228871[/C][C]0.115053[/C][C]0.198927[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 59 )[/C][C]0.0362319[/C][C]0.113202[/C][C]0.320066[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 59 )[/C][C]0.0315742[/C][C]0.112154[/C][C]0.281527[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 59 )[/C][C]0.0336753[/C][C]0.111778[/C][C]0.301269[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 59 )[/C][C]0.0444318[/C][C]0.110373[/C][C]0.402561[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 59 )[/C][C]0.0333729[/C][C]0.108907[/C][C]0.306436[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 59 )[/C][C]0.0336027[/C][C]0.107685[/C][C]0.312046[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 59 )[/C][C]0.0294108[/C][C]0.10631[/C][C]0.276652[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 59 )[/C][C]0.0314196[/C][C]0.105784[/C][C]0.297017[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 59 )[/C][C]0.0282318[/C][C]0.105158[/C][C]0.268471[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 59 )[/C][C]0.0324666[/C][C]0.102602[/C][C]0.316434[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 59 )[/C][C]0.0432646[/C][C]0.100896[/C][C]0.428804[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 59 )[/C][C]0.0428951[/C][C]0.100752[/C][C]0.425749[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 59 )[/C][C]0.0300332[/C][C]0.099054[/C][C]0.3032[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 59 )[/C][C]0.0281732[/C][C]0.0988363[/C][C]0.285049[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 59 )[/C][C]0.0295656[/C][C]0.0972606[/C][C]0.303984[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 59 )[/C][C]0.0252824[/C][C]0.0958739[/C][C]0.263704[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 59 )[/C][C]0.0347698[/C][C]0.0935709[/C][C]0.371588[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 59 )[/C][C]0.0114714[/C][C]0.0911447[/C][C]0.12586[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 59 )[/C][C]0.0146551[/C][C]0.0905891[/C][C]0.161776[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 59 )[/C][C]0.0158068[/C][C]0.0900287[/C][C]0.175576[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 59 )[/C][C]0.0103141[/C][C]0.0892479[/C][C]0.115567[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 59 )[/C][C]0.000625711[/C][C]0.0879596[/C][C]0.00711362[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 59 )[/C][C]0.00888541[/C][C]0.0855602[/C][C]0.10385[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 59 )[/C][C]0.0116149[/C][C]0.0847909[/C][C]0.136983[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 59 )[/C][C]0.00205885[/C][C]0.0838662[/C][C]0.0245493[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 59 )[/C][C]0.00185143[/C][C]0.083033[/C][C]0.0222975[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 59 )[/C][C]0.00104129[/C][C]0.0828517[/C][C]0.0125682[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 59 )[/C][C]-0.00394917[/C][C]0.0821932[/C][C]-0.0480474[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 59 )[/C][C]0.00725913[/C][C]0.0807362[/C][C]0.0899117[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 59 )[/C][C]0.00667282[/C][C]0.0800652[/C][C]0.0833423[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 59 )[/C][C]0.0038345[/C][C]0.0790544[/C][C]0.0485046[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 59 )[/C][C]0.00388686[/C][C]0.0787394[/C][C]0.0493636[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 59 )[/C][C]0.00581125[/C][C]0.0780275[/C][C]0.074477[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 59 )[/C][C]0.00619154[/C][C]0.0769992[/C][C]0.0804105[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 59 )[/C][C]0.00783459[/C][C]0.076431[/C][C]0.102505[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 59 )[/C][C]0.0181441[/C][C]0.0753847[/C][C]0.240687[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 59 )[/C][C]0.0162875[/C][C]0.0752169[/C][C]0.21654[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 59 )[/C][C]0.0138864[/C][C]0.0741705[/C][C]0.187223[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 59 )[/C][C]0.0165483[/C][C]0.0736737[/C][C]0.224617[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 59 )[/C][C]0.0198923[/C][C]0.0733106[/C][C]0.271343[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 59 )[/C][C]0.0346435[/C][C]0.0715518[/C][C]0.484174[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 59 )[/C][C]0.0208303[/C][C]0.0697091[/C][C]0.298817[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 59 )[/C][C]0.0246062[/C][C]0.0684527[/C][C]0.359464[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 59 )[/C][C]0.0190365[/C][C]0.0677333[/C][C]0.281052[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 59 )[/C][C]0.0186133[/C][C]0.0666758[/C][C]0.279162[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 59 )[/C][C]0.0153027[/C][C]0.0661836[/C][C]0.231215[/C][/ROW]
[ROW][C]Winsorized Mean ( 55 / 59 )[/C][C]0.0154566[/C][C]0.0655876[/C][C]0.235664[/C][/ROW]
[ROW][C]Winsorized Mean ( 56 / 59 )[/C][C]0.0274341[/C][C]0.0629682[/C][C]0.435682[/C][/ROW]
[ROW][C]Winsorized Mean ( 57 / 59 )[/C][C]0.023927[/C][C]0.0623789[/C][C]0.383575[/C][/ROW]
[ROW][C]Winsorized Mean ( 58 / 59 )[/C][C]0.0131624[/C][C]0.0599077[/C][C]0.219711[/C][/ROW]
[ROW][C]Winsorized Mean ( 59 / 59 )[/C][C]0.0133066[/C][C]0.0593753[/C][C]0.224109[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 59 )[/C][C]0.00655176[/C][C]0.120015[/C][C]0.0545914[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 59 )[/C][C]0.0127335[/C][C]0.117476[/C][C]0.108393[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 59 )[/C][C]0.0190529[/C][C]0.114833[/C][C]0.165918[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 59 )[/C][C]0.0212258[/C][C]0.11297[/C][C]0.18789[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 59 )[/C][C]0.0242085[/C][C]0.111148[/C][C]0.217805[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 59 )[/C][C]0.0264572[/C][C]0.109548[/C][C]0.241512[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 59 )[/C][C]0.0285813[/C][C]0.107997[/C][C]0.264648[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 59 )[/C][C]0.0295856[/C][C]0.106601[/C][C]0.277534[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 59 )[/C][C]0.0305165[/C][C]0.105159[/C][C]0.290195[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 59 )[/C][C]0.0298016[/C][C]0.10389[/C][C]0.286856[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 59 )[/C][C]0.0295995[/C][C]0.102672[/C][C]0.288291[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 59 )[/C][C]0.0291716[/C][C]0.101407[/C][C]0.287668[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 59 )[/C][C]0.0276838[/C][C]0.100217[/C][C]0.276238[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 59 )[/C][C]0.027165[/C][C]0.0991058[/C][C]0.274101[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 59 )[/C][C]0.027165[/C][C]0.0980414[/C][C]0.277077[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 59 )[/C][C]0.0263854[/C][C]0.0970372[/C][C]0.271911[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 59 )[/C][C]0.025997[/C][C]0.0960018[/C][C]0.270797[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 59 )[/C][C]0.0258325[/C][C]0.0949403[/C][C]0.272092[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 59 )[/C][C]0.0253646[/C][C]0.0940384[/C][C]0.269726[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 59 )[/C][C]0.0241514[/C][C]0.0932165[/C][C]0.259089[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 59 )[/C][C]0.0229269[/C][C]0.0923308[/C][C]0.248312[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 59 )[/C][C]0.0224782[/C][C]0.0915181[/C][C]0.245615[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 59 )[/C][C]0.0221298[/C][C]0.0906462[/C][C]0.244133[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 59 )[/C][C]0.021688[/C][C]0.0898292[/C][C]0.241436[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 59 )[/C][C]0.0214802[/C][C]0.0890515[/C][C]0.241211[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 59 )[/C][C]0.020731[/C][C]0.0883901[/C][C]0.23454[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 59 )[/C][C]0.0212409[/C][C]0.0878591[/C][C]0.241761[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 59 )[/C][C]0.0215959[/C][C]0.0873114[/C][C]0.247344[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 59 )[/C][C]0.0219018[/C][C]0.0867444[/C][C]0.252486[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 59 )[/C][C]0.0219018[/C][C]0.0861728[/C][C]0.254161[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 59 )[/C][C]0.0236185[/C][C]0.085635[/C][C]0.275804[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 59 )[/C][C]0.0243582[/C][C]0.0852212[/C][C]0.285824[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 59 )[/C][C]0.0249891[/C][C]0.0848091[/C][C]0.294651[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 59 )[/C][C]0.0261096[/C][C]0.0844085[/C][C]0.309324[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 59 )[/C][C]0.0272813[/C][C]0.0840126[/C][C]0.324728[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 59 )[/C][C]0.0285355[/C][C]0.0835687[/C][C]0.341461[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 59 )[/C][C]0.0300738[/C][C]0.0831087[/C][C]0.36186[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 59 )[/C][C]0.0311453[/C][C]0.0826967[/C][C]0.376621[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 59 )[/C][C]0.0322867[/C][C]0.0822701[/C][C]0.392448[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 59 )[/C][C]0.0336058[/C][C]0.0818538[/C][C]0.410559[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 59 )[/C][C]0.0349768[/C][C]0.0813903[/C][C]0.429742[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 59 )[/C][C]0.0363172[/C][C]0.0809072[/C][C]0.448875[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 59 )[/C][C]0.0376978[/C][C]0.0804277[/C][C]0.468716[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 59 )[/C][C]0.0390638[/C][C]0.0799116[/C][C]0.488838[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 59 )[/C][C]0.0400201[/C][C]0.0793968[/C][C]0.504051[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 59 )[/C][C]0.0411052[/C][C]0.0788015[/C][C]0.521629[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 59 )[/C][C]0.0423513[/C][C]0.0781951[/C][C]0.54161[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 59 )[/C][C]0.0435352[/C][C]0.0775241[/C][C]0.56157[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 59 )[/C][C]0.0446237[/C][C]0.0767657[/C][C]0.581298[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 59 )[/C][C]0.0450852[/C][C]0.0760476[/C][C]0.592855[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 59 )[/C][C]0.0450852[/C][C]0.0753782[/C][C]0.598121[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 59 )[/C][C]0.0472241[/C][C]0.0747044[/C][C]0.632146[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 59 )[/C][C]0.0485532[/C][C]0.0739652[/C][C]0.656433[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 59 )[/C][C]0.0499774[/C][C]0.0731878[/C][C]0.682865[/C][/ROW]
[ROW][C]Trimmed Mean ( 55 / 59 )[/C][C]0.0516432[/C][C]0.0722992[/C][C]0.714299[/C][/ROW]
[ROW][C]Trimmed Mean ( 56 / 59 )[/C][C]0.053401[/C][C]0.0712925[/C][C]0.749042[/C][/ROW]
[ROW][C]Trimmed Mean ( 57 / 59 )[/C][C]0.054678[/C][C]0.0704014[/C][C]0.77666[/C][/ROW]
[ROW][C]Trimmed Mean ( 58 / 59 )[/C][C]0.0562108[/C][C]0.0693803[/C][C]0.810184[/C][/ROW]
[ROW][C]Trimmed Mean ( 59 / 59 )[/C][C]0.0583888[/C][C]0.0684501[/C][C]0.853013[/C][/ROW]
[ROW][C]Median[/C][C]0.142302[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-0.579831[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]0.0261003[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]0.0390638[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]0.0390638[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]0.0390638[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]0.0400201[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]0.0261003[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]0.0390638[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]0.0390638[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]179[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=313385&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=313385&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Central Tendency - Ungrouped Data
Measure	Value	S.E.	Value/S.E.
Arithmetic Mean	2.72342e-16	0.124303	2.19095e-15
Geometric Mean	NaN
Harmonic Mean	-8.43892
Quadratic Mean	1.65841
Winsorized Mean ( 1 / 59 )	0.000508135	0.122375	0.00415226
Winsorized Mean ( 2 / 59 )	0.000518395	0.12221	0.00424184
Winsorized Mean ( 3 / 59 )	0.0128255	0.119703	0.107145
Winsorized Mean ( 4 / 59 )	0.00996174	0.119099	0.0836422
Winsorized Mean ( 5 / 59 )	0.0137188	0.117653	0.116604
Winsorized Mean ( 6 / 59 )	0.0147092	0.116857	0.125874
Winsorized Mean ( 7 / 59 )	0.0221796	0.115409	0.192183
Winsorized Mean ( 8 / 59 )	0.0228871	0.115053	0.198927
Winsorized Mean ( 9 / 59 )	0.0362319	0.113202	0.320066
Winsorized Mean ( 10 / 59 )	0.0315742	0.112154	0.281527
Winsorized Mean ( 11 / 59 )	0.0336753	0.111778	0.301269
Winsorized Mean ( 12 / 59 )	0.0444318	0.110373	0.402561
Winsorized Mean ( 13 / 59 )	0.0333729	0.108907	0.306436
Winsorized Mean ( 14 / 59 )	0.0336027	0.107685	0.312046
Winsorized Mean ( 15 / 59 )	0.0294108	0.10631	0.276652
Winsorized Mean ( 16 / 59 )	0.0314196	0.105784	0.297017
Winsorized Mean ( 17 / 59 )	0.0282318	0.105158	0.268471
Winsorized Mean ( 18 / 59 )	0.0324666	0.102602	0.316434
Winsorized Mean ( 19 / 59 )	0.0432646	0.100896	0.428804
Winsorized Mean ( 20 / 59 )	0.0428951	0.100752	0.425749
Winsorized Mean ( 21 / 59 )	0.0300332	0.099054	0.3032
Winsorized Mean ( 22 / 59 )	0.0281732	0.0988363	0.285049
Winsorized Mean ( 23 / 59 )	0.0295656	0.0972606	0.303984
Winsorized Mean ( 24 / 59 )	0.0252824	0.0958739	0.263704
Winsorized Mean ( 25 / 59 )	0.0347698	0.0935709	0.371588
Winsorized Mean ( 26 / 59 )	0.0114714	0.0911447	0.12586
Winsorized Mean ( 27 / 59 )	0.0146551	0.0905891	0.161776
Winsorized Mean ( 28 / 59 )	0.0158068	0.0900287	0.175576
Winsorized Mean ( 29 / 59 )	0.0103141	0.0892479	0.115567
Winsorized Mean ( 30 / 59 )	0.000625711	0.0879596	0.00711362
Winsorized Mean ( 31 / 59 )	0.00888541	0.0855602	0.10385
Winsorized Mean ( 32 / 59 )	0.0116149	0.0847909	0.136983
Winsorized Mean ( 33 / 59 )	0.00205885	0.0838662	0.0245493
Winsorized Mean ( 34 / 59 )	0.00185143	0.083033	0.0222975
Winsorized Mean ( 35 / 59 )	0.00104129	0.0828517	0.0125682
Winsorized Mean ( 36 / 59 )	-0.00394917	0.0821932	-0.0480474
Winsorized Mean ( 37 / 59 )	0.00725913	0.0807362	0.0899117
Winsorized Mean ( 38 / 59 )	0.00667282	0.0800652	0.0833423
Winsorized Mean ( 39 / 59 )	0.0038345	0.0790544	0.0485046
Winsorized Mean ( 40 / 59 )	0.00388686	0.0787394	0.0493636
Winsorized Mean ( 41 / 59 )	0.00581125	0.0780275	0.074477
Winsorized Mean ( 42 / 59 )	0.00619154	0.0769992	0.0804105
Winsorized Mean ( 43 / 59 )	0.00783459	0.076431	0.102505
Winsorized Mean ( 44 / 59 )	0.0181441	0.0753847	0.240687
Winsorized Mean ( 45 / 59 )	0.0162875	0.0752169	0.21654
Winsorized Mean ( 46 / 59 )	0.0138864	0.0741705	0.187223
Winsorized Mean ( 47 / 59 )	0.0165483	0.0736737	0.224617
Winsorized Mean ( 48 / 59 )	0.0198923	0.0733106	0.271343
Winsorized Mean ( 49 / 59 )	0.0346435	0.0715518	0.484174
Winsorized Mean ( 50 / 59 )	0.0208303	0.0697091	0.298817
Winsorized Mean ( 51 / 59 )	0.0246062	0.0684527	0.359464
Winsorized Mean ( 52 / 59 )	0.0190365	0.0677333	0.281052
Winsorized Mean ( 53 / 59 )	0.0186133	0.0666758	0.279162
Winsorized Mean ( 54 / 59 )	0.0153027	0.0661836	0.231215
Winsorized Mean ( 55 / 59 )	0.0154566	0.0655876	0.235664
Winsorized Mean ( 56 / 59 )	0.0274341	0.0629682	0.435682
Winsorized Mean ( 57 / 59 )	0.023927	0.0623789	0.383575
Winsorized Mean ( 58 / 59 )	0.0131624	0.0599077	0.219711
Winsorized Mean ( 59 / 59 )	0.0133066	0.0593753	0.224109
Trimmed Mean ( 1 / 59 )	0.00655176	0.120015	0.0545914
Trimmed Mean ( 2 / 59 )	0.0127335	0.117476	0.108393
Trimmed Mean ( 3 / 59 )	0.0190529	0.114833	0.165918
Trimmed Mean ( 4 / 59 )	0.0212258	0.11297	0.18789
Trimmed Mean ( 5 / 59 )	0.0242085	0.111148	0.217805
Trimmed Mean ( 6 / 59 )	0.0264572	0.109548	0.241512
Trimmed Mean ( 7 / 59 )	0.0285813	0.107997	0.264648
Trimmed Mean ( 8 / 59 )	0.0295856	0.106601	0.277534
Trimmed Mean ( 9 / 59 )	0.0305165	0.105159	0.290195
Trimmed Mean ( 10 / 59 )	0.0298016	0.10389	0.286856
Trimmed Mean ( 11 / 59 )	0.0295995	0.102672	0.288291
Trimmed Mean ( 12 / 59 )	0.0291716	0.101407	0.287668
Trimmed Mean ( 13 / 59 )	0.0276838	0.100217	0.276238
Trimmed Mean ( 14 / 59 )	0.027165	0.0991058	0.274101
Trimmed Mean ( 15 / 59 )	0.027165	0.0980414	0.277077
Trimmed Mean ( 16 / 59 )	0.0263854	0.0970372	0.271911
Trimmed Mean ( 17 / 59 )	0.025997	0.0960018	0.270797
Trimmed Mean ( 18 / 59 )	0.0258325	0.0949403	0.272092
Trimmed Mean ( 19 / 59 )	0.0253646	0.0940384	0.269726
Trimmed Mean ( 20 / 59 )	0.0241514	0.0932165	0.259089
Trimmed Mean ( 21 / 59 )	0.0229269	0.0923308	0.248312
Trimmed Mean ( 22 / 59 )	0.0224782	0.0915181	0.245615
Trimmed Mean ( 23 / 59 )	0.0221298	0.0906462	0.244133
Trimmed Mean ( 24 / 59 )	0.021688	0.0898292	0.241436
Trimmed Mean ( 25 / 59 )	0.0214802	0.0890515	0.241211
Trimmed Mean ( 26 / 59 )	0.020731	0.0883901	0.23454
Trimmed Mean ( 27 / 59 )	0.0212409	0.0878591	0.241761
Trimmed Mean ( 28 / 59 )	0.0215959	0.0873114	0.247344
Trimmed Mean ( 29 / 59 )	0.0219018	0.0867444	0.252486
Trimmed Mean ( 30 / 59 )	0.0219018	0.0861728	0.254161
Trimmed Mean ( 31 / 59 )	0.0236185	0.085635	0.275804
Trimmed Mean ( 32 / 59 )	0.0243582	0.0852212	0.285824
Trimmed Mean ( 33 / 59 )	0.0249891	0.0848091	0.294651
Trimmed Mean ( 34 / 59 )	0.0261096	0.0844085	0.309324
Trimmed Mean ( 35 / 59 )	0.0272813	0.0840126	0.324728
Trimmed Mean ( 36 / 59 )	0.0285355	0.0835687	0.341461
Trimmed Mean ( 37 / 59 )	0.0300738	0.0831087	0.36186
Trimmed Mean ( 38 / 59 )	0.0311453	0.0826967	0.376621
Trimmed Mean ( 39 / 59 )	0.0322867	0.0822701	0.392448
Trimmed Mean ( 40 / 59 )	0.0336058	0.0818538	0.410559
Trimmed Mean ( 41 / 59 )	0.0349768	0.0813903	0.429742
Trimmed Mean ( 42 / 59 )	0.0363172	0.0809072	0.448875
Trimmed Mean ( 43 / 59 )	0.0376978	0.0804277	0.468716
Trimmed Mean ( 44 / 59 )	0.0390638	0.0799116	0.488838
Trimmed Mean ( 45 / 59 )	0.0400201	0.0793968	0.504051
Trimmed Mean ( 46 / 59 )	0.0411052	0.0788015	0.521629
Trimmed Mean ( 47 / 59 )	0.0423513	0.0781951	0.54161
Trimmed Mean ( 48 / 59 )	0.0435352	0.0775241	0.56157
Trimmed Mean ( 49 / 59 )	0.0446237	0.0767657	0.581298
Trimmed Mean ( 50 / 59 )	0.0450852	0.0760476	0.592855
Trimmed Mean ( 51 / 59 )	0.0450852	0.0753782	0.598121
Trimmed Mean ( 52 / 59 )	0.0472241	0.0747044	0.632146
Trimmed Mean ( 53 / 59 )	0.0485532	0.0739652	0.656433
Trimmed Mean ( 54 / 59 )	0.0499774	0.0731878	0.682865
Trimmed Mean ( 55 / 59 )	0.0516432	0.0722992	0.714299
Trimmed Mean ( 56 / 59 )	0.053401	0.0712925	0.749042
Trimmed Mean ( 57 / 59 )	0.054678	0.0704014	0.77666
Trimmed Mean ( 58 / 59 )	0.0562108	0.0693803	0.810184
Trimmed Mean ( 59 / 59 )	0.0583888	0.0684501	0.853013
Median	0.142302
Midrange	-0.579831
Midmean - Weighted Average at Xnp	0.0261003
Midmean - Weighted Average at X(n+1)p	0.0390638
Midmean - Empirical Distribution Function	0.0390638
Midmean - Empirical Distribution Function - Averaging	0.0390638
Midmean - Empirical Distribution Function - Interpolation	0.0400201
Midmean - Closest Observation	0.0261003
Midmean - True Basic - Statistics Graphics Toolkit	0.0390638
Midmean - MS Excel (old versions)	0.0390638
Number of observations	179

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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,'Arithmetic Mean',header=TRUE)
a<-table.element(a,signif(arm,6))
a<-table.element(a, signif(armse,6))
a<-table.element(a,signif(armose,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Geometric Mean',header=TRUE)
a<-table.element(a,signif(geo,6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Harmonic Mean',header=TRUE)
a<-table.element(a,signif(har,6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Quadratic Mean',header=TRUE)
a<-table.element(a,signif(qua,6))
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, mylabel,header=TRUE)
a<-table.element(a,signif(win[j,1],6))
a<-table.element(a,signif(win[j,2],6))
a<-table.element(a,signif(win[j,1]/win[j,2],6))
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, mylabel,header=TRUE)
a<-table.element(a,signif(tri[j,1],6))
a<-table.element(a,signif(tri[j,2],6))
a<-table.element(a,signif(tri[j,1]/tri[j,2],6))
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a, 'Median',header=TRUE)
a<-table.element(a,signif(median(x),6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Midrange',header=TRUE)
a<-table.element(a,signif(midr,6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <-  'Midmean'
mylabel <- paste(mymid,'Weighted Average at Xnp',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[1],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <-  'Midmean'
mylabel <- paste(mymid,'Weighted Average at X(n+1)p',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[2],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <-  'Midmean'
mylabel <- paste(mymid,'Empirical Distribution Function',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[3],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <-  'Midmean'
mylabel <- paste(mymid,'Empirical Distribution Function - Averaging',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[4],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <-  'Midmean'
mylabel <- paste(mymid,'Empirical Distribution Function - Interpolation',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[5],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <-  'Midmean'
mylabel <- paste(mymid,'Closest Observation',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[6],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <-  'Midmean'
mylabel <- paste(mymid,'True Basic - Statistics Graphics Toolkit',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[7],6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <-  'Midmean'
mylabel <- paste(mymid,'MS Excel (old versions)',sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,signif(midm[8],6))
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,signif(length(x),6))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code