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Author*Unverified author*
R Software Modulerwasp_One Factor ANOVA.wasp
Title produced by softwareOne-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)
Date of computationMon, 05 Nov 2012 15:46:55 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/05/t1352148465xstuzrwys8jam58.htm/, Retrieved Fri, 03 Feb 2023 10:54:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=186290, Retrieved Fri, 03 Feb 2023 10:54:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA wit...] [2009-11-29 13:09:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA for...] [2009-12-01 13:05:10] [3fdd735c61ad38cbc9b3393dc997cdb7]
- R P     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [CARE date with Tu...] [2009-12-01 18:33:48] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [CARE Data with Tu...] [2010-11-23 12:09:38] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [IQ and Mothers Age] [2011-11-21 16:34:08] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R PD            [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ANOVA test for Mo...] [2012-11-05 20:46:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
2	88
2	94
3	90
1	73
1	68
2	80
2	86
1	86
3	91
1	79
3	96
2	92
1	72
2	96
2	70
2	86
1	87
3	88
2	79
1	90
1	95
1	85
2	90
3	115
2	84
2	79
2	94
2	97
2	86
3	111
2	87
2	98
2	87
1	68
2	88
2	82
3	111
1	75
2	94
1	95
2	80
2	95
2	68
2	94
2	88
1	84
2	101
2	98
1	78
3	109
1	102
1	81
1	97
2	75
2	97
1	101
1	101
2	95
2	95
2	95
2	90
3	107
2	92
1	86
1	70
2	95
2	96
2	91
3	87
2	92
2	97
3	102
1	91
2	68
1	88
2	97
2	90
2	101
2	94
3	101
3	109
2	100
2	103
2	94
2	97
2	85
2	75
1	77
1	87
1	78
3	108
2	97
2	105
2	106
2	107
1	95
2	107
2	115
2	101
1	85
2	90
3	115
2	95
1	97
1	112
1	97
1	77
2	90
2	94
3	103
2	77
2	98
2	90
3	111
1	77
3	88
1	75
2	92
2	78
2	106
1	80
2	87
1	92
3	
3	111
2	86
2	85
1	90
3	101
2	94
1	86
1	86
1	90
1	75
2	86
3	91
2	97
2	91
1	70
2	98
1	96
1	95
2	100
2	95
2	97
2	97
3	92
3	115
3	88
2	87
2	100
2	98
1	102
1	96




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186290&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186290&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186290&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







ANOVA Model
WISCRY7V ~ MVRBIQ0
means85.583-83.583-83.583-84.583-83.583-82.5835.86611.522-83.583-83.583-84.583-83.833-83.583-83.583-83.583-84.083-82.583-84.583-83.583-84.083-83.25-84.583

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
WISCRY7V  ~  MVRBIQ0 \tabularnewline
means & 85.583 & -83.583 & -83.583 & -84.583 & -83.583 & -82.583 & 5.866 & 11.522 & -83.583 & -83.583 & -84.583 & -83.833 & -83.583 & -83.583 & -83.583 & -84.083 & -82.583 & -84.583 & -83.583 & -84.083 & -83.25 & -84.583 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186290&T=1

[TABLE]
[ROW]ANOVA Model[/C][/ROW]
[ROW]WISCRY7V  ~  MVRBIQ0[/C][/ROW]
[ROW][C]means[/C][C]85.583[/C][C]-83.583[/C][C]-83.583[/C][C]-84.583[/C][C]-83.583[/C][C]-82.583[/C][C]5.866[/C][C]11.522[/C][C]-83.583[/C][C]-83.583[/C][C]-84.583[/C][C]-83.833[/C][C]-83.583[/C][C]-83.583[/C][C]-83.583[/C][C]-84.083[/C][C]-82.583[/C][C]-84.583[/C][C]-83.583[/C][C]-84.083[/C][C]-83.25[/C][C]-84.583[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186290&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186290&T=1

As an alternative you can also use a QR Code:  

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

ANOVA Model
WISCRY7V ~ MVRBIQ0
means85.583-83.583-83.583-84.583-83.583-82.5835.86611.522-83.583-83.583-84.583-83.833-83.583-83.583-83.583-84.083-82.583-84.583-83.583-84.083-83.25-84.583







ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
MVRBIQ021192159.389150.44757.1790
Residuals13221124.029160.031

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
MVRBIQ0 & 21 & 192159.38 & 9150.447 & 57.179 & 0 \tabularnewline
Residuals & 132 & 21124.029 & 160.031 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186290&T=2

[TABLE]
[ROW][C]ANOVA Statistics[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]Sum Sq[/C][C]Mean Sq[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]MVRBIQ0[/C][C]21[/C][C]192159.38[/C][C]9150.447[/C][C]57.179[/C][C]0[/C][/ROW]
[ROW][C]Residuals[/C][C]132[/C][C]21124.029[/C][C]160.031[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186290&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186290&T=2

As an alternative you can also use a QR Code:  

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

ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
MVRBIQ021192159.389150.44757.1790
Residuals13221124.029160.031







Tukey Honest Significant Difference Comparisons
difflwruprp adj
100-1-83.583-117.303-49.8640
101-1-83.583-130.638-36.5290
102-1-84.583-131.638-37.5290
111-1-83.583-130.638-36.5290
115-1-82.583-129.638-35.5290
2-15.866-3.67715.4090.8
3-111.522-1.6424.6840.174
70-1-83.583-130.638-36.5290
75-1-83.583-130.638-36.5290
85-1-84.583-131.638-37.5290
86-1-83.833-108.296-59.3710
87-1-83.583-130.638-36.5290
88-1-83.583-130.638-36.5290
90-1-83.583-117.303-49.8640
91-1-84.083-117.803-50.3640
92-1-82.583-129.638-35.5290
94-1-84.583-131.638-37.5290
95-1-83.583-117.303-49.8640
96-1-84.083-117.803-50.3640
97-1-83.25-111.142-55.3580
98-1-84.583-118.303-50.8640
101-1000-56.84656.8461
102-100-1-57.84655.8461
111-1000-56.84656.8461
115-1001-55.84657.8461
2-10089.44956.157122.7420
3-10095.10560.601129.6090
70-1000-56.84656.8461
75-1000-56.84656.8461
85-100-1-57.84655.8461
86-100-0.25-40.44639.9461
87-1000-56.84656.8461
88-1000-56.84656.8461
90-1000-46.41546.4151
91-100-0.5-46.91545.9151
92-1001-55.84657.8461
94-100-1-57.84655.8461
95-1000-46.41546.4151
96-100-0.5-46.91545.9151
97-1000.333-42.03742.7041
98-100-1-47.41545.4151
102-101-1-66.6464.641
111-1010-65.6465.641
115-1011-64.6466.641
2-10189.44942.7136.1990
3-10195.10547.485142.7260
70-1010-65.6465.641
75-1010-65.6465.641
85-101-1-66.6464.641
86-101-0.25-52.14351.6431
87-1010-65.6465.641
88-1010-65.6465.641
90-1010-56.84656.8461
91-101-0.5-57.34656.3461
92-1011-64.6466.641
94-101-1-66.6464.641
95-1010-56.84656.8461
96-101-0.5-57.34656.3461
97-1010.333-53.26253.9281
98-101-1-57.84655.8461
111-1021-64.6466.641
115-1022-63.6467.641
2-10290.44943.7137.1990
3-10296.10548.485143.7260
70-1021-64.6466.641
75-1021-64.6466.641
85-1020-65.6465.641
86-1020.75-51.14352.6431
87-1021-64.6466.641
88-1021-64.6466.641
90-1021-55.84657.8461
91-1020.5-56.34657.3461
92-1022-63.6467.641
94-1020-65.6465.641
95-1021-55.84657.8461
96-1020.5-56.34657.3461
97-1021.333-52.26254.9281
98-1020-56.84656.8461
115-1111-64.6466.641
2-11189.44942.7136.1990
3-11195.10547.485142.7260
70-1110-65.6465.641
75-1110-65.6465.641
85-111-1-66.6464.641
86-111-0.25-52.14351.6431
87-1110-65.6465.641
88-1110-65.6465.641
90-1110-56.84656.8461
91-111-0.5-57.34656.3461
92-1111-64.6466.641
94-111-1-66.6464.641
95-1110-56.84656.8461
96-111-0.5-57.34656.3461
97-1110.333-53.26253.9281
98-111-1-57.84655.8461
2-11588.44941.7135.1990
3-11594.10546.485141.7260
70-115-1-66.6464.641
75-115-1-66.6464.641
85-115-2-67.6463.641
86-115-1.25-53.14350.6431
87-115-1-66.6464.641
88-115-1-66.6464.641
90-115-1-57.84655.8461
91-115-1.5-58.34655.3461
92-1150-65.6465.641
94-115-2-67.6463.641
95-115-1-57.84655.8461
96-115-1.5-58.34655.3461
97-115-0.667-54.26252.9281
98-115-2-58.84654.8461
3-25.656-6.36917.6810.982
70-2-89.449-136.199-42.70
75-2-89.449-136.199-42.70
85-2-90.449-137.199-43.70
86-2-89.699-113.57-65.8290
87-2-89.449-136.199-42.70
88-2-89.449-136.199-42.70
90-2-89.449-122.742-56.1570
91-2-89.949-123.242-56.6570
92-2-88.449-135.199-41.70
94-2-90.449-137.199-43.70
95-2-89.449-122.742-56.1570
96-2-89.949-123.242-56.6570
97-2-89.116-116.49-61.7420
98-2-90.449-123.742-57.1570
70-3-95.105-142.726-47.4850
75-3-95.105-142.726-47.4850
85-3-96.105-143.726-48.4850
86-3-95.355-120.889-69.8220
87-3-95.105-142.726-47.4850
88-3-95.105-142.726-47.4850
90-3-95.105-129.609-60.6010
91-3-95.605-130.109-61.1010
92-3-94.105-141.726-46.4850
94-3-96.105-143.726-48.4850
95-3-95.105-129.609-60.6010
96-3-95.605-130.109-61.1010
97-3-94.772-123.607-65.9360
98-3-96.105-130.609-61.6010
75-700-65.6465.641
85-70-1-66.6464.641
86-70-0.25-52.14351.6431
87-700-65.6465.641
88-700-65.6465.641
90-700-56.84656.8461
91-70-0.5-57.34656.3461
92-701-64.6466.641
94-70-1-66.6464.641
95-700-56.84656.8461
96-70-0.5-57.34656.3461
97-700.333-53.26253.9281
98-70-1-57.84655.8461
85-75-1-66.6464.641
86-75-0.25-52.14351.6431
87-750-65.6465.641
88-750-65.6465.641
90-750-56.84656.8461
91-75-0.5-57.34656.3461
92-751-64.6466.641
94-75-1-66.6464.641
95-750-56.84656.8461
96-75-0.5-57.34656.3461
97-750.333-53.26253.9281
98-75-1-57.84655.8461
86-850.75-51.14352.6431
87-851-64.6466.641
88-851-64.6466.641
90-851-55.84657.8461
91-850.5-56.34657.3461
92-852-63.6467.641
94-850-65.6465.641
95-851-55.84657.8461
96-850.5-56.34657.3461
97-851.333-52.26254.9281
98-850-56.84656.8461
87-860.25-51.64352.1431
88-860.25-51.64352.1431
90-860.25-39.94640.4461
91-86-0.25-40.44639.9461
92-861.25-50.64353.1431
94-86-0.75-52.64351.1431
95-860.25-39.94640.4461
96-86-0.25-40.44639.9461
97-860.583-34.86636.0331
98-86-0.75-40.94639.4461
88-870-65.6465.641
90-870-56.84656.8461
91-87-0.5-57.34656.3461
92-871-64.6466.641
94-87-1-66.6464.641
95-870-56.84656.8461
96-87-0.5-57.34656.3461
97-870.333-53.26253.9281
98-87-1-57.84655.8461
90-880-56.84656.8461
91-88-0.5-57.34656.3461
92-881-64.6466.641
94-88-1-66.6464.641
95-880-56.84656.8461
96-88-0.5-57.34656.3461
97-880.333-53.26253.9281
98-88-1-57.84655.8461
91-90-0.5-46.91545.9151
92-901-55.84657.8461
94-90-1-57.84655.8461
95-900-46.41546.4151
96-90-0.5-46.91545.9151
97-900.333-42.03742.7041
98-90-1-47.41545.4151
92-911.5-55.34658.3461
94-91-0.5-57.34656.3461
95-910.5-45.91546.9151
96-910-46.41546.4151
97-910.833-41.53743.2041
98-91-0.5-46.91545.9151
94-92-2-67.6463.641
95-92-1-57.84655.8461
96-92-1.5-58.34655.3461
97-92-0.667-54.26252.9281
98-92-2-58.84654.8461
95-941-55.84657.8461
96-940.5-56.34657.3461
97-941.333-52.26254.9281
98-940-56.84656.8461
96-95-0.5-46.91545.9151
97-950.333-42.03742.7041
98-95-1-47.41545.4151
97-960.833-41.53743.2041
98-96-0.5-46.91545.9151
98-97-1.333-43.70441.0371

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
100-1 & -83.583 & -117.303 & -49.864 & 0 \tabularnewline
101-1 & -83.583 & -130.638 & -36.529 & 0 \tabularnewline
102-1 & -84.583 & -131.638 & -37.529 & 0 \tabularnewline
111-1 & -83.583 & -130.638 & -36.529 & 0 \tabularnewline
115-1 & -82.583 & -129.638 & -35.529 & 0 \tabularnewline
2-1 & 5.866 & -3.677 & 15.409 & 0.8 \tabularnewline
3-1 & 11.522 & -1.64 & 24.684 & 0.174 \tabularnewline
70-1 & -83.583 & -130.638 & -36.529 & 0 \tabularnewline
75-1 & -83.583 & -130.638 & -36.529 & 0 \tabularnewline
85-1 & -84.583 & -131.638 & -37.529 & 0 \tabularnewline
86-1 & -83.833 & -108.296 & -59.371 & 0 \tabularnewline
87-1 & -83.583 & -130.638 & -36.529 & 0 \tabularnewline
88-1 & -83.583 & -130.638 & -36.529 & 0 \tabularnewline
90-1 & -83.583 & -117.303 & -49.864 & 0 \tabularnewline
91-1 & -84.083 & -117.803 & -50.364 & 0 \tabularnewline
92-1 & -82.583 & -129.638 & -35.529 & 0 \tabularnewline
94-1 & -84.583 & -131.638 & -37.529 & 0 \tabularnewline
95-1 & -83.583 & -117.303 & -49.864 & 0 \tabularnewline
96-1 & -84.083 & -117.803 & -50.364 & 0 \tabularnewline
97-1 & -83.25 & -111.142 & -55.358 & 0 \tabularnewline
98-1 & -84.583 & -118.303 & -50.864 & 0 \tabularnewline
101-100 & 0 & -56.846 & 56.846 & 1 \tabularnewline
102-100 & -1 & -57.846 & 55.846 & 1 \tabularnewline
111-100 & 0 & -56.846 & 56.846 & 1 \tabularnewline
115-100 & 1 & -55.846 & 57.846 & 1 \tabularnewline
2-100 & 89.449 & 56.157 & 122.742 & 0 \tabularnewline
3-100 & 95.105 & 60.601 & 129.609 & 0 \tabularnewline
70-100 & 0 & -56.846 & 56.846 & 1 \tabularnewline
75-100 & 0 & -56.846 & 56.846 & 1 \tabularnewline
85-100 & -1 & -57.846 & 55.846 & 1 \tabularnewline
86-100 & -0.25 & -40.446 & 39.946 & 1 \tabularnewline
87-100 & 0 & -56.846 & 56.846 & 1 \tabularnewline
88-100 & 0 & -56.846 & 56.846 & 1 \tabularnewline
90-100 & 0 & -46.415 & 46.415 & 1 \tabularnewline
91-100 & -0.5 & -46.915 & 45.915 & 1 \tabularnewline
92-100 & 1 & -55.846 & 57.846 & 1 \tabularnewline
94-100 & -1 & -57.846 & 55.846 & 1 \tabularnewline
95-100 & 0 & -46.415 & 46.415 & 1 \tabularnewline
96-100 & -0.5 & -46.915 & 45.915 & 1 \tabularnewline
97-100 & 0.333 & -42.037 & 42.704 & 1 \tabularnewline
98-100 & -1 & -47.415 & 45.415 & 1 \tabularnewline
102-101 & -1 & -66.64 & 64.64 & 1 \tabularnewline
111-101 & 0 & -65.64 & 65.64 & 1 \tabularnewline
115-101 & 1 & -64.64 & 66.64 & 1 \tabularnewline
2-101 & 89.449 & 42.7 & 136.199 & 0 \tabularnewline
3-101 & 95.105 & 47.485 & 142.726 & 0 \tabularnewline
70-101 & 0 & -65.64 & 65.64 & 1 \tabularnewline
75-101 & 0 & -65.64 & 65.64 & 1 \tabularnewline
85-101 & -1 & -66.64 & 64.64 & 1 \tabularnewline
86-101 & -0.25 & -52.143 & 51.643 & 1 \tabularnewline
87-101 & 0 & -65.64 & 65.64 & 1 \tabularnewline
88-101 & 0 & -65.64 & 65.64 & 1 \tabularnewline
90-101 & 0 & -56.846 & 56.846 & 1 \tabularnewline
91-101 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
92-101 & 1 & -64.64 & 66.64 & 1 \tabularnewline
94-101 & -1 & -66.64 & 64.64 & 1 \tabularnewline
95-101 & 0 & -56.846 & 56.846 & 1 \tabularnewline
96-101 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
97-101 & 0.333 & -53.262 & 53.928 & 1 \tabularnewline
98-101 & -1 & -57.846 & 55.846 & 1 \tabularnewline
111-102 & 1 & -64.64 & 66.64 & 1 \tabularnewline
115-102 & 2 & -63.64 & 67.64 & 1 \tabularnewline
2-102 & 90.449 & 43.7 & 137.199 & 0 \tabularnewline
3-102 & 96.105 & 48.485 & 143.726 & 0 \tabularnewline
70-102 & 1 & -64.64 & 66.64 & 1 \tabularnewline
75-102 & 1 & -64.64 & 66.64 & 1 \tabularnewline
85-102 & 0 & -65.64 & 65.64 & 1 \tabularnewline
86-102 & 0.75 & -51.143 & 52.643 & 1 \tabularnewline
87-102 & 1 & -64.64 & 66.64 & 1 \tabularnewline
88-102 & 1 & -64.64 & 66.64 & 1 \tabularnewline
90-102 & 1 & -55.846 & 57.846 & 1 \tabularnewline
91-102 & 0.5 & -56.346 & 57.346 & 1 \tabularnewline
92-102 & 2 & -63.64 & 67.64 & 1 \tabularnewline
94-102 & 0 & -65.64 & 65.64 & 1 \tabularnewline
95-102 & 1 & -55.846 & 57.846 & 1 \tabularnewline
96-102 & 0.5 & -56.346 & 57.346 & 1 \tabularnewline
97-102 & 1.333 & -52.262 & 54.928 & 1 \tabularnewline
98-102 & 0 & -56.846 & 56.846 & 1 \tabularnewline
115-111 & 1 & -64.64 & 66.64 & 1 \tabularnewline
2-111 & 89.449 & 42.7 & 136.199 & 0 \tabularnewline
3-111 & 95.105 & 47.485 & 142.726 & 0 \tabularnewline
70-111 & 0 & -65.64 & 65.64 & 1 \tabularnewline
75-111 & 0 & -65.64 & 65.64 & 1 \tabularnewline
85-111 & -1 & -66.64 & 64.64 & 1 \tabularnewline
86-111 & -0.25 & -52.143 & 51.643 & 1 \tabularnewline
87-111 & 0 & -65.64 & 65.64 & 1 \tabularnewline
88-111 & 0 & -65.64 & 65.64 & 1 \tabularnewline
90-111 & 0 & -56.846 & 56.846 & 1 \tabularnewline
91-111 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
92-111 & 1 & -64.64 & 66.64 & 1 \tabularnewline
94-111 & -1 & -66.64 & 64.64 & 1 \tabularnewline
95-111 & 0 & -56.846 & 56.846 & 1 \tabularnewline
96-111 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
97-111 & 0.333 & -53.262 & 53.928 & 1 \tabularnewline
98-111 & -1 & -57.846 & 55.846 & 1 \tabularnewline
2-115 & 88.449 & 41.7 & 135.199 & 0 \tabularnewline
3-115 & 94.105 & 46.485 & 141.726 & 0 \tabularnewline
70-115 & -1 & -66.64 & 64.64 & 1 \tabularnewline
75-115 & -1 & -66.64 & 64.64 & 1 \tabularnewline
85-115 & -2 & -67.64 & 63.64 & 1 \tabularnewline
86-115 & -1.25 & -53.143 & 50.643 & 1 \tabularnewline
87-115 & -1 & -66.64 & 64.64 & 1 \tabularnewline
88-115 & -1 & -66.64 & 64.64 & 1 \tabularnewline
90-115 & -1 & -57.846 & 55.846 & 1 \tabularnewline
91-115 & -1.5 & -58.346 & 55.346 & 1 \tabularnewline
92-115 & 0 & -65.64 & 65.64 & 1 \tabularnewline
94-115 & -2 & -67.64 & 63.64 & 1 \tabularnewline
95-115 & -1 & -57.846 & 55.846 & 1 \tabularnewline
96-115 & -1.5 & -58.346 & 55.346 & 1 \tabularnewline
97-115 & -0.667 & -54.262 & 52.928 & 1 \tabularnewline
98-115 & -2 & -58.846 & 54.846 & 1 \tabularnewline
3-2 & 5.656 & -6.369 & 17.681 & 0.982 \tabularnewline
70-2 & -89.449 & -136.199 & -42.7 & 0 \tabularnewline
75-2 & -89.449 & -136.199 & -42.7 & 0 \tabularnewline
85-2 & -90.449 & -137.199 & -43.7 & 0 \tabularnewline
86-2 & -89.699 & -113.57 & -65.829 & 0 \tabularnewline
87-2 & -89.449 & -136.199 & -42.7 & 0 \tabularnewline
88-2 & -89.449 & -136.199 & -42.7 & 0 \tabularnewline
90-2 & -89.449 & -122.742 & -56.157 & 0 \tabularnewline
91-2 & -89.949 & -123.242 & -56.657 & 0 \tabularnewline
92-2 & -88.449 & -135.199 & -41.7 & 0 \tabularnewline
94-2 & -90.449 & -137.199 & -43.7 & 0 \tabularnewline
95-2 & -89.449 & -122.742 & -56.157 & 0 \tabularnewline
96-2 & -89.949 & -123.242 & -56.657 & 0 \tabularnewline
97-2 & -89.116 & -116.49 & -61.742 & 0 \tabularnewline
98-2 & -90.449 & -123.742 & -57.157 & 0 \tabularnewline
70-3 & -95.105 & -142.726 & -47.485 & 0 \tabularnewline
75-3 & -95.105 & -142.726 & -47.485 & 0 \tabularnewline
85-3 & -96.105 & -143.726 & -48.485 & 0 \tabularnewline
86-3 & -95.355 & -120.889 & -69.822 & 0 \tabularnewline
87-3 & -95.105 & -142.726 & -47.485 & 0 \tabularnewline
88-3 & -95.105 & -142.726 & -47.485 & 0 \tabularnewline
90-3 & -95.105 & -129.609 & -60.601 & 0 \tabularnewline
91-3 & -95.605 & -130.109 & -61.101 & 0 \tabularnewline
92-3 & -94.105 & -141.726 & -46.485 & 0 \tabularnewline
94-3 & -96.105 & -143.726 & -48.485 & 0 \tabularnewline
95-3 & -95.105 & -129.609 & -60.601 & 0 \tabularnewline
96-3 & -95.605 & -130.109 & -61.101 & 0 \tabularnewline
97-3 & -94.772 & -123.607 & -65.936 & 0 \tabularnewline
98-3 & -96.105 & -130.609 & -61.601 & 0 \tabularnewline
75-70 & 0 & -65.64 & 65.64 & 1 \tabularnewline
85-70 & -1 & -66.64 & 64.64 & 1 \tabularnewline
86-70 & -0.25 & -52.143 & 51.643 & 1 \tabularnewline
87-70 & 0 & -65.64 & 65.64 & 1 \tabularnewline
88-70 & 0 & -65.64 & 65.64 & 1 \tabularnewline
90-70 & 0 & -56.846 & 56.846 & 1 \tabularnewline
91-70 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
92-70 & 1 & -64.64 & 66.64 & 1 \tabularnewline
94-70 & -1 & -66.64 & 64.64 & 1 \tabularnewline
95-70 & 0 & -56.846 & 56.846 & 1 \tabularnewline
96-70 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
97-70 & 0.333 & -53.262 & 53.928 & 1 \tabularnewline
98-70 & -1 & -57.846 & 55.846 & 1 \tabularnewline
85-75 & -1 & -66.64 & 64.64 & 1 \tabularnewline
86-75 & -0.25 & -52.143 & 51.643 & 1 \tabularnewline
87-75 & 0 & -65.64 & 65.64 & 1 \tabularnewline
88-75 & 0 & -65.64 & 65.64 & 1 \tabularnewline
90-75 & 0 & -56.846 & 56.846 & 1 \tabularnewline
91-75 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
92-75 & 1 & -64.64 & 66.64 & 1 \tabularnewline
94-75 & -1 & -66.64 & 64.64 & 1 \tabularnewline
95-75 & 0 & -56.846 & 56.846 & 1 \tabularnewline
96-75 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
97-75 & 0.333 & -53.262 & 53.928 & 1 \tabularnewline
98-75 & -1 & -57.846 & 55.846 & 1 \tabularnewline
86-85 & 0.75 & -51.143 & 52.643 & 1 \tabularnewline
87-85 & 1 & -64.64 & 66.64 & 1 \tabularnewline
88-85 & 1 & -64.64 & 66.64 & 1 \tabularnewline
90-85 & 1 & -55.846 & 57.846 & 1 \tabularnewline
91-85 & 0.5 & -56.346 & 57.346 & 1 \tabularnewline
92-85 & 2 & -63.64 & 67.64 & 1 \tabularnewline
94-85 & 0 & -65.64 & 65.64 & 1 \tabularnewline
95-85 & 1 & -55.846 & 57.846 & 1 \tabularnewline
96-85 & 0.5 & -56.346 & 57.346 & 1 \tabularnewline
97-85 & 1.333 & -52.262 & 54.928 & 1 \tabularnewline
98-85 & 0 & -56.846 & 56.846 & 1 \tabularnewline
87-86 & 0.25 & -51.643 & 52.143 & 1 \tabularnewline
88-86 & 0.25 & -51.643 & 52.143 & 1 \tabularnewline
90-86 & 0.25 & -39.946 & 40.446 & 1 \tabularnewline
91-86 & -0.25 & -40.446 & 39.946 & 1 \tabularnewline
92-86 & 1.25 & -50.643 & 53.143 & 1 \tabularnewline
94-86 & -0.75 & -52.643 & 51.143 & 1 \tabularnewline
95-86 & 0.25 & -39.946 & 40.446 & 1 \tabularnewline
96-86 & -0.25 & -40.446 & 39.946 & 1 \tabularnewline
97-86 & 0.583 & -34.866 & 36.033 & 1 \tabularnewline
98-86 & -0.75 & -40.946 & 39.446 & 1 \tabularnewline
88-87 & 0 & -65.64 & 65.64 & 1 \tabularnewline
90-87 & 0 & -56.846 & 56.846 & 1 \tabularnewline
91-87 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
92-87 & 1 & -64.64 & 66.64 & 1 \tabularnewline
94-87 & -1 & -66.64 & 64.64 & 1 \tabularnewline
95-87 & 0 & -56.846 & 56.846 & 1 \tabularnewline
96-87 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
97-87 & 0.333 & -53.262 & 53.928 & 1 \tabularnewline
98-87 & -1 & -57.846 & 55.846 & 1 \tabularnewline
90-88 & 0 & -56.846 & 56.846 & 1 \tabularnewline
91-88 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
92-88 & 1 & -64.64 & 66.64 & 1 \tabularnewline
94-88 & -1 & -66.64 & 64.64 & 1 \tabularnewline
95-88 & 0 & -56.846 & 56.846 & 1 \tabularnewline
96-88 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
97-88 & 0.333 & -53.262 & 53.928 & 1 \tabularnewline
98-88 & -1 & -57.846 & 55.846 & 1 \tabularnewline
91-90 & -0.5 & -46.915 & 45.915 & 1 \tabularnewline
92-90 & 1 & -55.846 & 57.846 & 1 \tabularnewline
94-90 & -1 & -57.846 & 55.846 & 1 \tabularnewline
95-90 & 0 & -46.415 & 46.415 & 1 \tabularnewline
96-90 & -0.5 & -46.915 & 45.915 & 1 \tabularnewline
97-90 & 0.333 & -42.037 & 42.704 & 1 \tabularnewline
98-90 & -1 & -47.415 & 45.415 & 1 \tabularnewline
92-91 & 1.5 & -55.346 & 58.346 & 1 \tabularnewline
94-91 & -0.5 & -57.346 & 56.346 & 1 \tabularnewline
95-91 & 0.5 & -45.915 & 46.915 & 1 \tabularnewline
96-91 & 0 & -46.415 & 46.415 & 1 \tabularnewline
97-91 & 0.833 & -41.537 & 43.204 & 1 \tabularnewline
98-91 & -0.5 & -46.915 & 45.915 & 1 \tabularnewline
94-92 & -2 & -67.64 & 63.64 & 1 \tabularnewline
95-92 & -1 & -57.846 & 55.846 & 1 \tabularnewline
96-92 & -1.5 & -58.346 & 55.346 & 1 \tabularnewline
97-92 & -0.667 & -54.262 & 52.928 & 1 \tabularnewline
98-92 & -2 & -58.846 & 54.846 & 1 \tabularnewline
95-94 & 1 & -55.846 & 57.846 & 1 \tabularnewline
96-94 & 0.5 & -56.346 & 57.346 & 1 \tabularnewline
97-94 & 1.333 & -52.262 & 54.928 & 1 \tabularnewline
98-94 & 0 & -56.846 & 56.846 & 1 \tabularnewline
96-95 & -0.5 & -46.915 & 45.915 & 1 \tabularnewline
97-95 & 0.333 & -42.037 & 42.704 & 1 \tabularnewline
98-95 & -1 & -47.415 & 45.415 & 1 \tabularnewline
97-96 & 0.833 & -41.537 & 43.204 & 1 \tabularnewline
98-96 & -0.5 & -46.915 & 45.915 & 1 \tabularnewline
98-97 & -1.333 & -43.704 & 41.037 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186290&T=3

[TABLE]
[ROW][C]Tukey Honest Significant Difference Comparisons[/C][/ROW]
[ROW][C] [/C][C]diff[/C][C]lwr[/C][C]upr[/C][C]p adj[/C][/ROW]
[ROW][C]100-1[/C][C]-83.583[/C][C]-117.303[/C][C]-49.864[/C][C]0[/C][/ROW]
[ROW][C]101-1[/C][C]-83.583[/C][C]-130.638[/C][C]-36.529[/C][C]0[/C][/ROW]
[ROW][C]102-1[/C][C]-84.583[/C][C]-131.638[/C][C]-37.529[/C][C]0[/C][/ROW]
[ROW][C]111-1[/C][C]-83.583[/C][C]-130.638[/C][C]-36.529[/C][C]0[/C][/ROW]
[ROW][C]115-1[/C][C]-82.583[/C][C]-129.638[/C][C]-35.529[/C][C]0[/C][/ROW]
[ROW][C]2-1[/C][C]5.866[/C][C]-3.677[/C][C]15.409[/C][C]0.8[/C][/ROW]
[ROW][C]3-1[/C][C]11.522[/C][C]-1.64[/C][C]24.684[/C][C]0.174[/C][/ROW]
[ROW][C]70-1[/C][C]-83.583[/C][C]-130.638[/C][C]-36.529[/C][C]0[/C][/ROW]
[ROW][C]75-1[/C][C]-83.583[/C][C]-130.638[/C][C]-36.529[/C][C]0[/C][/ROW]
[ROW][C]85-1[/C][C]-84.583[/C][C]-131.638[/C][C]-37.529[/C][C]0[/C][/ROW]
[ROW][C]86-1[/C][C]-83.833[/C][C]-108.296[/C][C]-59.371[/C][C]0[/C][/ROW]
[ROW][C]87-1[/C][C]-83.583[/C][C]-130.638[/C][C]-36.529[/C][C]0[/C][/ROW]
[ROW][C]88-1[/C][C]-83.583[/C][C]-130.638[/C][C]-36.529[/C][C]0[/C][/ROW]
[ROW][C]90-1[/C][C]-83.583[/C][C]-117.303[/C][C]-49.864[/C][C]0[/C][/ROW]
[ROW][C]91-1[/C][C]-84.083[/C][C]-117.803[/C][C]-50.364[/C][C]0[/C][/ROW]
[ROW][C]92-1[/C][C]-82.583[/C][C]-129.638[/C][C]-35.529[/C][C]0[/C][/ROW]
[ROW][C]94-1[/C][C]-84.583[/C][C]-131.638[/C][C]-37.529[/C][C]0[/C][/ROW]
[ROW][C]95-1[/C][C]-83.583[/C][C]-117.303[/C][C]-49.864[/C][C]0[/C][/ROW]
[ROW][C]96-1[/C][C]-84.083[/C][C]-117.803[/C][C]-50.364[/C][C]0[/C][/ROW]
[ROW][C]97-1[/C][C]-83.25[/C][C]-111.142[/C][C]-55.358[/C][C]0[/C][/ROW]
[ROW][C]98-1[/C][C]-84.583[/C][C]-118.303[/C][C]-50.864[/C][C]0[/C][/ROW]
[ROW][C]101-100[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]102-100[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]111-100[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]115-100[/C][C]1[/C][C]-55.846[/C][C]57.846[/C][C]1[/C][/ROW]
[ROW][C]2-100[/C][C]89.449[/C][C]56.157[/C][C]122.742[/C][C]0[/C][/ROW]
[ROW][C]3-100[/C][C]95.105[/C][C]60.601[/C][C]129.609[/C][C]0[/C][/ROW]
[ROW][C]70-100[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]75-100[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]85-100[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]86-100[/C][C]-0.25[/C][C]-40.446[/C][C]39.946[/C][C]1[/C][/ROW]
[ROW][C]87-100[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]88-100[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]90-100[/C][C]0[/C][C]-46.415[/C][C]46.415[/C][C]1[/C][/ROW]
[ROW][C]91-100[/C][C]-0.5[/C][C]-46.915[/C][C]45.915[/C][C]1[/C][/ROW]
[ROW][C]92-100[/C][C]1[/C][C]-55.846[/C][C]57.846[/C][C]1[/C][/ROW]
[ROW][C]94-100[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]95-100[/C][C]0[/C][C]-46.415[/C][C]46.415[/C][C]1[/C][/ROW]
[ROW][C]96-100[/C][C]-0.5[/C][C]-46.915[/C][C]45.915[/C][C]1[/C][/ROW]
[ROW][C]97-100[/C][C]0.333[/C][C]-42.037[/C][C]42.704[/C][C]1[/C][/ROW]
[ROW][C]98-100[/C][C]-1[/C][C]-47.415[/C][C]45.415[/C][C]1[/C][/ROW]
[ROW][C]102-101[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]111-101[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]115-101[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]2-101[/C][C]89.449[/C][C]42.7[/C][C]136.199[/C][C]0[/C][/ROW]
[ROW][C]3-101[/C][C]95.105[/C][C]47.485[/C][C]142.726[/C][C]0[/C][/ROW]
[ROW][C]70-101[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]75-101[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]85-101[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]86-101[/C][C]-0.25[/C][C]-52.143[/C][C]51.643[/C][C]1[/C][/ROW]
[ROW][C]87-101[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]88-101[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]90-101[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]91-101[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]92-101[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]94-101[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]95-101[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]96-101[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]97-101[/C][C]0.333[/C][C]-53.262[/C][C]53.928[/C][C]1[/C][/ROW]
[ROW][C]98-101[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]111-102[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]115-102[/C][C]2[/C][C]-63.64[/C][C]67.64[/C][C]1[/C][/ROW]
[ROW][C]2-102[/C][C]90.449[/C][C]43.7[/C][C]137.199[/C][C]0[/C][/ROW]
[ROW][C]3-102[/C][C]96.105[/C][C]48.485[/C][C]143.726[/C][C]0[/C][/ROW]
[ROW][C]70-102[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]75-102[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]85-102[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]86-102[/C][C]0.75[/C][C]-51.143[/C][C]52.643[/C][C]1[/C][/ROW]
[ROW][C]87-102[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]88-102[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]90-102[/C][C]1[/C][C]-55.846[/C][C]57.846[/C][C]1[/C][/ROW]
[ROW][C]91-102[/C][C]0.5[/C][C]-56.346[/C][C]57.346[/C][C]1[/C][/ROW]
[ROW][C]92-102[/C][C]2[/C][C]-63.64[/C][C]67.64[/C][C]1[/C][/ROW]
[ROW][C]94-102[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]95-102[/C][C]1[/C][C]-55.846[/C][C]57.846[/C][C]1[/C][/ROW]
[ROW][C]96-102[/C][C]0.5[/C][C]-56.346[/C][C]57.346[/C][C]1[/C][/ROW]
[ROW][C]97-102[/C][C]1.333[/C][C]-52.262[/C][C]54.928[/C][C]1[/C][/ROW]
[ROW][C]98-102[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]115-111[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]2-111[/C][C]89.449[/C][C]42.7[/C][C]136.199[/C][C]0[/C][/ROW]
[ROW][C]3-111[/C][C]95.105[/C][C]47.485[/C][C]142.726[/C][C]0[/C][/ROW]
[ROW][C]70-111[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]75-111[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]85-111[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]86-111[/C][C]-0.25[/C][C]-52.143[/C][C]51.643[/C][C]1[/C][/ROW]
[ROW][C]87-111[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]88-111[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]90-111[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]91-111[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]92-111[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]94-111[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]95-111[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]96-111[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]97-111[/C][C]0.333[/C][C]-53.262[/C][C]53.928[/C][C]1[/C][/ROW]
[ROW][C]98-111[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]2-115[/C][C]88.449[/C][C]41.7[/C][C]135.199[/C][C]0[/C][/ROW]
[ROW][C]3-115[/C][C]94.105[/C][C]46.485[/C][C]141.726[/C][C]0[/C][/ROW]
[ROW][C]70-115[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]75-115[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]85-115[/C][C]-2[/C][C]-67.64[/C][C]63.64[/C][C]1[/C][/ROW]
[ROW][C]86-115[/C][C]-1.25[/C][C]-53.143[/C][C]50.643[/C][C]1[/C][/ROW]
[ROW][C]87-115[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]88-115[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]90-115[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]91-115[/C][C]-1.5[/C][C]-58.346[/C][C]55.346[/C][C]1[/C][/ROW]
[ROW][C]92-115[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]94-115[/C][C]-2[/C][C]-67.64[/C][C]63.64[/C][C]1[/C][/ROW]
[ROW][C]95-115[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]96-115[/C][C]-1.5[/C][C]-58.346[/C][C]55.346[/C][C]1[/C][/ROW]
[ROW][C]97-115[/C][C]-0.667[/C][C]-54.262[/C][C]52.928[/C][C]1[/C][/ROW]
[ROW][C]98-115[/C][C]-2[/C][C]-58.846[/C][C]54.846[/C][C]1[/C][/ROW]
[ROW][C]3-2[/C][C]5.656[/C][C]-6.369[/C][C]17.681[/C][C]0.982[/C][/ROW]
[ROW][C]70-2[/C][C]-89.449[/C][C]-136.199[/C][C]-42.7[/C][C]0[/C][/ROW]
[ROW][C]75-2[/C][C]-89.449[/C][C]-136.199[/C][C]-42.7[/C][C]0[/C][/ROW]
[ROW][C]85-2[/C][C]-90.449[/C][C]-137.199[/C][C]-43.7[/C][C]0[/C][/ROW]
[ROW][C]86-2[/C][C]-89.699[/C][C]-113.57[/C][C]-65.829[/C][C]0[/C][/ROW]
[ROW][C]87-2[/C][C]-89.449[/C][C]-136.199[/C][C]-42.7[/C][C]0[/C][/ROW]
[ROW][C]88-2[/C][C]-89.449[/C][C]-136.199[/C][C]-42.7[/C][C]0[/C][/ROW]
[ROW][C]90-2[/C][C]-89.449[/C][C]-122.742[/C][C]-56.157[/C][C]0[/C][/ROW]
[ROW][C]91-2[/C][C]-89.949[/C][C]-123.242[/C][C]-56.657[/C][C]0[/C][/ROW]
[ROW][C]92-2[/C][C]-88.449[/C][C]-135.199[/C][C]-41.7[/C][C]0[/C][/ROW]
[ROW][C]94-2[/C][C]-90.449[/C][C]-137.199[/C][C]-43.7[/C][C]0[/C][/ROW]
[ROW][C]95-2[/C][C]-89.449[/C][C]-122.742[/C][C]-56.157[/C][C]0[/C][/ROW]
[ROW][C]96-2[/C][C]-89.949[/C][C]-123.242[/C][C]-56.657[/C][C]0[/C][/ROW]
[ROW][C]97-2[/C][C]-89.116[/C][C]-116.49[/C][C]-61.742[/C][C]0[/C][/ROW]
[ROW][C]98-2[/C][C]-90.449[/C][C]-123.742[/C][C]-57.157[/C][C]0[/C][/ROW]
[ROW][C]70-3[/C][C]-95.105[/C][C]-142.726[/C][C]-47.485[/C][C]0[/C][/ROW]
[ROW][C]75-3[/C][C]-95.105[/C][C]-142.726[/C][C]-47.485[/C][C]0[/C][/ROW]
[ROW][C]85-3[/C][C]-96.105[/C][C]-143.726[/C][C]-48.485[/C][C]0[/C][/ROW]
[ROW][C]86-3[/C][C]-95.355[/C][C]-120.889[/C][C]-69.822[/C][C]0[/C][/ROW]
[ROW][C]87-3[/C][C]-95.105[/C][C]-142.726[/C][C]-47.485[/C][C]0[/C][/ROW]
[ROW][C]88-3[/C][C]-95.105[/C][C]-142.726[/C][C]-47.485[/C][C]0[/C][/ROW]
[ROW][C]90-3[/C][C]-95.105[/C][C]-129.609[/C][C]-60.601[/C][C]0[/C][/ROW]
[ROW][C]91-3[/C][C]-95.605[/C][C]-130.109[/C][C]-61.101[/C][C]0[/C][/ROW]
[ROW][C]92-3[/C][C]-94.105[/C][C]-141.726[/C][C]-46.485[/C][C]0[/C][/ROW]
[ROW][C]94-3[/C][C]-96.105[/C][C]-143.726[/C][C]-48.485[/C][C]0[/C][/ROW]
[ROW][C]95-3[/C][C]-95.105[/C][C]-129.609[/C][C]-60.601[/C][C]0[/C][/ROW]
[ROW][C]96-3[/C][C]-95.605[/C][C]-130.109[/C][C]-61.101[/C][C]0[/C][/ROW]
[ROW][C]97-3[/C][C]-94.772[/C][C]-123.607[/C][C]-65.936[/C][C]0[/C][/ROW]
[ROW][C]98-3[/C][C]-96.105[/C][C]-130.609[/C][C]-61.601[/C][C]0[/C][/ROW]
[ROW][C]75-70[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]85-70[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]86-70[/C][C]-0.25[/C][C]-52.143[/C][C]51.643[/C][C]1[/C][/ROW]
[ROW][C]87-70[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]88-70[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]90-70[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]91-70[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]92-70[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]94-70[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]95-70[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]96-70[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]97-70[/C][C]0.333[/C][C]-53.262[/C][C]53.928[/C][C]1[/C][/ROW]
[ROW][C]98-70[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]85-75[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]86-75[/C][C]-0.25[/C][C]-52.143[/C][C]51.643[/C][C]1[/C][/ROW]
[ROW][C]87-75[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]88-75[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]90-75[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]91-75[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]92-75[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]94-75[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]95-75[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]96-75[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]97-75[/C][C]0.333[/C][C]-53.262[/C][C]53.928[/C][C]1[/C][/ROW]
[ROW][C]98-75[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]86-85[/C][C]0.75[/C][C]-51.143[/C][C]52.643[/C][C]1[/C][/ROW]
[ROW][C]87-85[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]88-85[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]90-85[/C][C]1[/C][C]-55.846[/C][C]57.846[/C][C]1[/C][/ROW]
[ROW][C]91-85[/C][C]0.5[/C][C]-56.346[/C][C]57.346[/C][C]1[/C][/ROW]
[ROW][C]92-85[/C][C]2[/C][C]-63.64[/C][C]67.64[/C][C]1[/C][/ROW]
[ROW][C]94-85[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]95-85[/C][C]1[/C][C]-55.846[/C][C]57.846[/C][C]1[/C][/ROW]
[ROW][C]96-85[/C][C]0.5[/C][C]-56.346[/C][C]57.346[/C][C]1[/C][/ROW]
[ROW][C]97-85[/C][C]1.333[/C][C]-52.262[/C][C]54.928[/C][C]1[/C][/ROW]
[ROW][C]98-85[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]87-86[/C][C]0.25[/C][C]-51.643[/C][C]52.143[/C][C]1[/C][/ROW]
[ROW][C]88-86[/C][C]0.25[/C][C]-51.643[/C][C]52.143[/C][C]1[/C][/ROW]
[ROW][C]90-86[/C][C]0.25[/C][C]-39.946[/C][C]40.446[/C][C]1[/C][/ROW]
[ROW][C]91-86[/C][C]-0.25[/C][C]-40.446[/C][C]39.946[/C][C]1[/C][/ROW]
[ROW][C]92-86[/C][C]1.25[/C][C]-50.643[/C][C]53.143[/C][C]1[/C][/ROW]
[ROW][C]94-86[/C][C]-0.75[/C][C]-52.643[/C][C]51.143[/C][C]1[/C][/ROW]
[ROW][C]95-86[/C][C]0.25[/C][C]-39.946[/C][C]40.446[/C][C]1[/C][/ROW]
[ROW][C]96-86[/C][C]-0.25[/C][C]-40.446[/C][C]39.946[/C][C]1[/C][/ROW]
[ROW][C]97-86[/C][C]0.583[/C][C]-34.866[/C][C]36.033[/C][C]1[/C][/ROW]
[ROW][C]98-86[/C][C]-0.75[/C][C]-40.946[/C][C]39.446[/C][C]1[/C][/ROW]
[ROW][C]88-87[/C][C]0[/C][C]-65.64[/C][C]65.64[/C][C]1[/C][/ROW]
[ROW][C]90-87[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]91-87[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]92-87[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]94-87[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]95-87[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]96-87[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]97-87[/C][C]0.333[/C][C]-53.262[/C][C]53.928[/C][C]1[/C][/ROW]
[ROW][C]98-87[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]90-88[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]91-88[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]92-88[/C][C]1[/C][C]-64.64[/C][C]66.64[/C][C]1[/C][/ROW]
[ROW][C]94-88[/C][C]-1[/C][C]-66.64[/C][C]64.64[/C][C]1[/C][/ROW]
[ROW][C]95-88[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]96-88[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]97-88[/C][C]0.333[/C][C]-53.262[/C][C]53.928[/C][C]1[/C][/ROW]
[ROW][C]98-88[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]91-90[/C][C]-0.5[/C][C]-46.915[/C][C]45.915[/C][C]1[/C][/ROW]
[ROW][C]92-90[/C][C]1[/C][C]-55.846[/C][C]57.846[/C][C]1[/C][/ROW]
[ROW][C]94-90[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]95-90[/C][C]0[/C][C]-46.415[/C][C]46.415[/C][C]1[/C][/ROW]
[ROW][C]96-90[/C][C]-0.5[/C][C]-46.915[/C][C]45.915[/C][C]1[/C][/ROW]
[ROW][C]97-90[/C][C]0.333[/C][C]-42.037[/C][C]42.704[/C][C]1[/C][/ROW]
[ROW][C]98-90[/C][C]-1[/C][C]-47.415[/C][C]45.415[/C][C]1[/C][/ROW]
[ROW][C]92-91[/C][C]1.5[/C][C]-55.346[/C][C]58.346[/C][C]1[/C][/ROW]
[ROW][C]94-91[/C][C]-0.5[/C][C]-57.346[/C][C]56.346[/C][C]1[/C][/ROW]
[ROW][C]95-91[/C][C]0.5[/C][C]-45.915[/C][C]46.915[/C][C]1[/C][/ROW]
[ROW][C]96-91[/C][C]0[/C][C]-46.415[/C][C]46.415[/C][C]1[/C][/ROW]
[ROW][C]97-91[/C][C]0.833[/C][C]-41.537[/C][C]43.204[/C][C]1[/C][/ROW]
[ROW][C]98-91[/C][C]-0.5[/C][C]-46.915[/C][C]45.915[/C][C]1[/C][/ROW]
[ROW][C]94-92[/C][C]-2[/C][C]-67.64[/C][C]63.64[/C][C]1[/C][/ROW]
[ROW][C]95-92[/C][C]-1[/C][C]-57.846[/C][C]55.846[/C][C]1[/C][/ROW]
[ROW][C]96-92[/C][C]-1.5[/C][C]-58.346[/C][C]55.346[/C][C]1[/C][/ROW]
[ROW][C]97-92[/C][C]-0.667[/C][C]-54.262[/C][C]52.928[/C][C]1[/C][/ROW]
[ROW][C]98-92[/C][C]-2[/C][C]-58.846[/C][C]54.846[/C][C]1[/C][/ROW]
[ROW][C]95-94[/C][C]1[/C][C]-55.846[/C][C]57.846[/C][C]1[/C][/ROW]
[ROW][C]96-94[/C][C]0.5[/C][C]-56.346[/C][C]57.346[/C][C]1[/C][/ROW]
[ROW][C]97-94[/C][C]1.333[/C][C]-52.262[/C][C]54.928[/C][C]1[/C][/ROW]
[ROW][C]98-94[/C][C]0[/C][C]-56.846[/C][C]56.846[/C][C]1[/C][/ROW]
[ROW][C]96-95[/C][C]-0.5[/C][C]-46.915[/C][C]45.915[/C][C]1[/C][/ROW]
[ROW][C]97-95[/C][C]0.333[/C][C]-42.037[/C][C]42.704[/C][C]1[/C][/ROW]
[ROW][C]98-95[/C][C]-1[/C][C]-47.415[/C][C]45.415[/C][C]1[/C][/ROW]
[ROW][C]97-96[/C][C]0.833[/C][C]-41.537[/C][C]43.204[/C][C]1[/C][/ROW]
[ROW][C]98-96[/C][C]-0.5[/C][C]-46.915[/C][C]45.915[/C][C]1[/C][/ROW]
[ROW][C]98-97[/C][C]-1.333[/C][C]-43.704[/C][C]41.037[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186290&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186290&T=3

As an alternative you can also use a QR Code:  

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

Tukey Honest Significant Difference Comparisons
difflwruprp adj
100-1-83.583-117.303-49.8640
101-1-83.583-130.638-36.5290
102-1-84.583-131.638-37.5290
111-1-83.583-130.638-36.5290
115-1-82.583-129.638-35.5290
2-15.866-3.67715.4090.8
3-111.522-1.6424.6840.174
70-1-83.583-130.638-36.5290
75-1-83.583-130.638-36.5290
85-1-84.583-131.638-37.5290
86-1-83.833-108.296-59.3710
87-1-83.583-130.638-36.5290
88-1-83.583-130.638-36.5290
90-1-83.583-117.303-49.8640
91-1-84.083-117.803-50.3640
92-1-82.583-129.638-35.5290
94-1-84.583-131.638-37.5290
95-1-83.583-117.303-49.8640
96-1-84.083-117.803-50.3640
97-1-83.25-111.142-55.3580
98-1-84.583-118.303-50.8640
101-1000-56.84656.8461
102-100-1-57.84655.8461
111-1000-56.84656.8461
115-1001-55.84657.8461
2-10089.44956.157122.7420
3-10095.10560.601129.6090
70-1000-56.84656.8461
75-1000-56.84656.8461
85-100-1-57.84655.8461
86-100-0.25-40.44639.9461
87-1000-56.84656.8461
88-1000-56.84656.8461
90-1000-46.41546.4151
91-100-0.5-46.91545.9151
92-1001-55.84657.8461
94-100-1-57.84655.8461
95-1000-46.41546.4151
96-100-0.5-46.91545.9151
97-1000.333-42.03742.7041
98-100-1-47.41545.4151
102-101-1-66.6464.641
111-1010-65.6465.641
115-1011-64.6466.641
2-10189.44942.7136.1990
3-10195.10547.485142.7260
70-1010-65.6465.641
75-1010-65.6465.641
85-101-1-66.6464.641
86-101-0.25-52.14351.6431
87-1010-65.6465.641
88-1010-65.6465.641
90-1010-56.84656.8461
91-101-0.5-57.34656.3461
92-1011-64.6466.641
94-101-1-66.6464.641
95-1010-56.84656.8461
96-101-0.5-57.34656.3461
97-1010.333-53.26253.9281
98-101-1-57.84655.8461
111-1021-64.6466.641
115-1022-63.6467.641
2-10290.44943.7137.1990
3-10296.10548.485143.7260
70-1021-64.6466.641
75-1021-64.6466.641
85-1020-65.6465.641
86-1020.75-51.14352.6431
87-1021-64.6466.641
88-1021-64.6466.641
90-1021-55.84657.8461
91-1020.5-56.34657.3461
92-1022-63.6467.641
94-1020-65.6465.641
95-1021-55.84657.8461
96-1020.5-56.34657.3461
97-1021.333-52.26254.9281
98-1020-56.84656.8461
115-1111-64.6466.641
2-11189.44942.7136.1990
3-11195.10547.485142.7260
70-1110-65.6465.641
75-1110-65.6465.641
85-111-1-66.6464.641
86-111-0.25-52.14351.6431
87-1110-65.6465.641
88-1110-65.6465.641
90-1110-56.84656.8461
91-111-0.5-57.34656.3461
92-1111-64.6466.641
94-111-1-66.6464.641
95-1110-56.84656.8461
96-111-0.5-57.34656.3461
97-1110.333-53.26253.9281
98-111-1-57.84655.8461
2-11588.44941.7135.1990
3-11594.10546.485141.7260
70-115-1-66.6464.641
75-115-1-66.6464.641
85-115-2-67.6463.641
86-115-1.25-53.14350.6431
87-115-1-66.6464.641
88-115-1-66.6464.641
90-115-1-57.84655.8461
91-115-1.5-58.34655.3461
92-1150-65.6465.641
94-115-2-67.6463.641
95-115-1-57.84655.8461
96-115-1.5-58.34655.3461
97-115-0.667-54.26252.9281
98-115-2-58.84654.8461
3-25.656-6.36917.6810.982
70-2-89.449-136.199-42.70
75-2-89.449-136.199-42.70
85-2-90.449-137.199-43.70
86-2-89.699-113.57-65.8290
87-2-89.449-136.199-42.70
88-2-89.449-136.199-42.70
90-2-89.449-122.742-56.1570
91-2-89.949-123.242-56.6570
92-2-88.449-135.199-41.70
94-2-90.449-137.199-43.70
95-2-89.449-122.742-56.1570
96-2-89.949-123.242-56.6570
97-2-89.116-116.49-61.7420
98-2-90.449-123.742-57.1570
70-3-95.105-142.726-47.4850
75-3-95.105-142.726-47.4850
85-3-96.105-143.726-48.4850
86-3-95.355-120.889-69.8220
87-3-95.105-142.726-47.4850
88-3-95.105-142.726-47.4850
90-3-95.105-129.609-60.6010
91-3-95.605-130.109-61.1010
92-3-94.105-141.726-46.4850
94-3-96.105-143.726-48.4850
95-3-95.105-129.609-60.6010
96-3-95.605-130.109-61.1010
97-3-94.772-123.607-65.9360
98-3-96.105-130.609-61.6010
75-700-65.6465.641
85-70-1-66.6464.641
86-70-0.25-52.14351.6431
87-700-65.6465.641
88-700-65.6465.641
90-700-56.84656.8461
91-70-0.5-57.34656.3461
92-701-64.6466.641
94-70-1-66.6464.641
95-700-56.84656.8461
96-70-0.5-57.34656.3461
97-700.333-53.26253.9281
98-70-1-57.84655.8461
85-75-1-66.6464.641
86-75-0.25-52.14351.6431
87-750-65.6465.641
88-750-65.6465.641
90-750-56.84656.8461
91-75-0.5-57.34656.3461
92-751-64.6466.641
94-75-1-66.6464.641
95-750-56.84656.8461
96-75-0.5-57.34656.3461
97-750.333-53.26253.9281
98-75-1-57.84655.8461
86-850.75-51.14352.6431
87-851-64.6466.641
88-851-64.6466.641
90-851-55.84657.8461
91-850.5-56.34657.3461
92-852-63.6467.641
94-850-65.6465.641
95-851-55.84657.8461
96-850.5-56.34657.3461
97-851.333-52.26254.9281
98-850-56.84656.8461
87-860.25-51.64352.1431
88-860.25-51.64352.1431
90-860.25-39.94640.4461
91-86-0.25-40.44639.9461
92-861.25-50.64353.1431
94-86-0.75-52.64351.1431
95-860.25-39.94640.4461
96-86-0.25-40.44639.9461
97-860.583-34.86636.0331
98-86-0.75-40.94639.4461
88-870-65.6465.641
90-870-56.84656.8461
91-87-0.5-57.34656.3461
92-871-64.6466.641
94-87-1-66.6464.641
95-870-56.84656.8461
96-87-0.5-57.34656.3461
97-870.333-53.26253.9281
98-87-1-57.84655.8461
90-880-56.84656.8461
91-88-0.5-57.34656.3461
92-881-64.6466.641
94-88-1-66.6464.641
95-880-56.84656.8461
96-88-0.5-57.34656.3461
97-880.333-53.26253.9281
98-88-1-57.84655.8461
91-90-0.5-46.91545.9151
92-901-55.84657.8461
94-90-1-57.84655.8461
95-900-46.41546.4151
96-90-0.5-46.91545.9151
97-900.333-42.03742.7041
98-90-1-47.41545.4151
92-911.5-55.34658.3461
94-91-0.5-57.34656.3461
95-910.5-45.91546.9151
96-910-46.41546.4151
97-910.833-41.53743.2041
98-91-0.5-46.91545.9151
94-92-2-67.6463.641
95-92-1-57.84655.8461
96-92-1.5-58.34655.3461
97-92-0.667-54.26252.9281
98-92-2-58.84654.8461
95-941-55.84657.8461
96-940.5-56.34657.3461
97-941.333-52.26254.9281
98-940-56.84656.8461
96-95-0.5-46.91545.9151
97-950.333-42.03742.7041
98-95-1-47.41545.4151
97-960.833-41.53743.2041
98-96-0.5-46.91545.9151
98-97-1.333-43.70441.0371







Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group211.0950.361
132

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 21 & 1.095 & 0.361 \tabularnewline
  & 132 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186290&T=4

[TABLE]
[ROW][C]Levenes Test for Homogeneity of Variance[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]Group[/C][C]21[/C][C]1.095[/C][C]0.361[/C][/ROW]
[ROW][C] [/C][C]132[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186290&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186290&T=4

As an alternative you can also use a QR Code:  

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

Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group211.0950.361
132



Parameters (Session):
par1 = 2 ; par2 = 1 ; par3 = TRUE ;
Parameters (R input):
par1 = 2 ; par2 = 1 ; par3 = TRUE ;
R code (references can be found in the software module):
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
intercept<-as.logical(par3)
x <- t(x)
x1<-as.numeric(x[,cat1])
f1<-as.character(x[,cat2])
xdf<-data.frame(x1,f1)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
names(xdf)<-c('Response', 'Treatment')
if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) )
(aov.xdf<-aov(lmxdf) )
(anova.xdf<-anova(lmxdf) )
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Model', length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, paste(V1, ' ~ ', V2), length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'means',,TRUE)
for(i in 1:length(lmxdf$coefficients)){
a<-table.element(a, round(lmxdf$coefficients[i], digits=3),,FALSE)
}
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Statistics', 5+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ',,TRUE)
a<-table.element(a, 'Df',,FALSE)
a<-table.element(a, 'Sum Sq',,FALSE)
a<-table.element(a, 'Mean Sq',,FALSE)
a<-table.element(a, 'F value',,FALSE)
a<-table.element(a, 'Pr(>F)',,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, V2,,TRUE)
a<-table.element(a, anova.xdf$Df[1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'F value'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3),,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residuals',,TRUE)
a<-table.element(a, anova.xdf$Df[2],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[2], digits=3),,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
bitmap(file='anovaplot.png')
boxplot(Response ~ Treatment, data=xdf, xlab=V2, ylab=V1)
dev.off()
if(intercept==TRUE){
thsd<-TukeyHSD(aov.xdf)
bitmap(file='TukeyHSDPlot.png')
plot(thsd)
dev.off()
}
if(intercept==TRUE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tukey Honest Significant Difference Comparisons', 5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1, TRUE)
for(i in 1:4){
a<-table.element(a,colnames(thsd[[1]])[i], 1, TRUE)
}
a<-table.row.end(a)
for(i in 1:length(rownames(thsd[[1]]))){
a<-table.row.start(a)
a<-table.element(a,rownames(thsd[[1]])[i], 1, TRUE)
for(j in 1:4){
a<-table.element(a,round(thsd[[1]][i,j], digits=3), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
if(intercept==FALSE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'TukeyHSD Message', 1,TRUE)
a<-table.row.end(a)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Must Include Intercept to use Tukey Test ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
library(car)
lt.lmxdf<-levene.test(lmxdf)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Levenes Test for Homogeneity of Variance', 4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
for (i in 1:3){
a<-table.element(a,names(lt.lmxdf)[i], 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Group', 1, TRUE)
for (i in 1:3){
a<-table.element(a,round(lt.lmxdf[[i]][1], digits=3), 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
a<-table.element(a,lt.lmxdf[[1]][2], 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')