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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationSat, 22 Dec 2018 20:10:00 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Dec/22/t1545506361hjn4h8lpj1n711d.htm/, Retrieved Sun, 05 May 2024 05:54:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=316224, Retrieved Sun, 05 May 2024 05:54:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [chi alcohol en land] [2018-12-22 19:10:00] [8607e318ea7bb53061252e65c5c0fa8a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
'USA' 33
'Duitsland' 14
'Canada' 33
'Japan' 53
'Canada' 32
'Japan' 17
'Japan' 39
'Canada' 53
'Japan' 12
'USA' 10
'Japan' 34
'Canada' 51
'Japan' 22
'Canada' 24
'Canada' 7
'USA' 22
'USA' 7
'Canada' 16
'Canada' 47
'Belgi�' 7
'Japan' 31
'Belgi�' 26
'Japan' 8
'Belgi�' 10
'Belgi�' 30
'Belgi�' 45
'Japan' 11
'Belgi�' 24
'Japan' 30
'USA' 31
'Duitsland' 23
'Japan' 37
'USA' 31
'Canada' 23
'Duitsland' 17
'Japan' 47
'Canada' 39
'Japan' 9
'Belgi�' 48
'Japan' 28
'Belgi�' 12
'Canada' 31
'Duitsland' 30
'Japan' 44
'Belgi�' 25
'Belgi�' 34
'Japan' 34
'Japan' 34
'Belgi�' 30
'Japan' 30
'Japan' 19
'Belgi�' 46
'Duitsland' 48
'Frankrijk' 24
'Canada' 39
'Belgi�' 22
'Japan' 28
'Belgi�' 21
'Japan' 18
'Belgi�' 36
'Duitsland' 29
'USA' 24
'Japan' 31
'Duitsland' 28
'USA' 37
'Japan' 33
'Canada' 31
'USA' 49
'USA' 42
'Japan' 29
'Frankrijk' 31
'Canada' 33
'Belgi�' 32
'Belgi�' 25
'Japan' 16
'Japan' 35
'Canada' 44
'Canada' 30
'Japan' 52
'Japan' 35
'USA' 11
'USA' 36
'Japan' 32
'Canada' 42
'Japan' 11
'Duitsland' 47
'Japan' 32
'Duitsland' 30
'USA' 51
'Canada' 10
'Canada' 22
'Belgi�' 32
'Belgi�' 52
'Duitsland' 52
'USA' 11
'Japan' 27
'Canada' 42
'Japan' 30
'Japan' 6
'Belgi�' 1
'Belgi�' 26
'Japan' 32
'USA' 36
'Duitsland' 26
'Canada' 49
'Duitsland' 39
'Belgi�' 14
'Canada' 35
'Frankrijk' 2
'Japan' 21
'Canada' 32
'Duitsland' 14
'USA' 33
'Japan' 16
'Japan' 15
'Duitsland' 30
'Japan' 2
'USA' 24
'Canada' 27
'Canada' 38
'Canada' 14
'Japan' 38
'Japan' 26
'Japan' 8
'Duitsland' 21
'Belgi�' 22
'Japan' 19
'Belgi�' 40
'Belgi�' 22
'USA' 25
'Canada' 47
'Belgi�' 46
'Japan' 25
'USA' 26
'Belgi�' 56
'Japan' 58
'Japan' 11
'Belgi�' 8
'Japan' 36
'Canada' 28

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R ServerBig 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 time9 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=316224&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]9 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=316224&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=316224&T=0

As an alternative you can also use a QR Code:  
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 Outputview raw output of R engine
Computing time9 seconds
R ServerBig Analytics Cloud Computing Center






Tabulation of Results
Landen x Totale_consumptie
1101112141516171819221222324252627282930313233343536373839404244454647484951525356586789
Belgi�11011000000130122000202010100010012010010100110
Canada01001010000011100110122201001202100201101000100
Duitsland00002001000101001011300000000100000110010000000
Frankrijk00000000001000100000010000000000000000000000000
Japan00310121121110011121323132111100100100011011021
USA01200000000010211000020200210001000001100000100

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Landen  x  Totale_consumptie \tabularnewline
  & 1 & 10 & 11 & 12 & 14 & 15 & 16 & 17 & 18 & 19 & 2 & 21 & 22 & 23 & 24 & 25 & 26 & 27 & 28 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 42 & 44 & 45 & 46 & 47 & 48 & 49 & 51 & 52 & 53 & 56 & 58 & 6 & 7 & 8 & 9 \tabularnewline
Belgi� & 1 & 1 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 3 & 0 & 1 & 2 & 2 & 0 & 0 & 0 & 2 & 0 & 2 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 2 & 0 & 1 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 1 & 1 & 0 \tabularnewline
Canada & 0 & 1 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 0 & 0 & 1 & 1 & 0 & 1 & 2 & 2 & 2 & 0 & 1 & 0 & 0 & 1 & 2 & 0 & 2 & 1 & 0 & 0 & 2 & 0 & 1 & 1 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
Duitsland & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 1 & 0 & 1 & 1 & 3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
Frankrijk & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
Japan & 0 & 0 & 3 & 1 & 0 & 1 & 2 & 1 & 1 & 2 & 1 & 1 & 1 & 0 & 0 & 1 & 1 & 1 & 2 & 1 & 3 & 2 & 3 & 1 & 3 & 2 & 1 & 1 & 1 & 1 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 1 & 0 & 1 & 1 & 0 & 2 & 1 \tabularnewline
USA & 0 & 1 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 2 & 1 & 1 & 0 & 0 & 0 & 0 & 2 & 0 & 2 & 0 & 0 & 2 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=316224&T=1

[TABLE]
[ROW]Tabulation of Results[/C][/ROW]
[ROW]Landen  x  Totale_consumptie[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]10[/C][C]11[/C][C]12[/C][C]14[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]2[/C][C]21[/C][C]22[/C][C]23[/C][C]24[/C][C]25[/C][C]26[/C][C]27[/C][C]28[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][C]40[/C][C]42[/C][C]44[/C][C]45[/C][C]46[/C][C]47[/C][C]48[/C][C]49[/C][C]51[/C][C]52[/C][C]53[/C][C]56[/C][C]58[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][/ROW]
[C]Belgi�[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]3[/C][C]0[/C][C]1[/C][C]2[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[C]Canada[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]2[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]Duitsland[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]Frankrijk[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]Japan[/C][C]0[/C][C]0[/C][C]3[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]1[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]2[/C][C]1[/C][C]3[/C][C]2[/C][C]3[/C][C]1[/C][C]3[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]2[/C][C]1[/C][/ROW]
[C]USA[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=316224&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=316224&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Tabulation of Results
Landen x Totale_consumptie
1101112141516171819221222324252627282930313233343536373839404244454647484951525356586789
Belgi�11011000000130122000202010100010012010010100110
Canada01001010000011100110122201001202100201101000100
Duitsland00002001000101001011300000000100000110010000000
Frankrijk00000000001000100000010000000000000000000000000
Japan00310121121110011121323132111100100100011011021
USA01200000000010211000020200210001000001100000100






Tabulation of Expected Results
Landen x Totale_consumptie
1101112141516171819221222324252627282930313233343536373839404244454647484951525356586789
Belgi�0.20.610.40.80.20.60.40.20.40.40.61.20.410.810.40.80.41.81.41.410.80.60.80.40.40.80.20.60.40.20.40.80.40.40.40.60.40.20.20.20.60.60.2
Canada0.20.610.40.80.20.60.40.20.40.40.61.20.410.810.40.80.41.81.41.410.80.60.80.40.40.80.20.60.40.20.40.80.40.40.40.60.40.20.20.20.60.60.2
Duitsland0.110.320.540.210.430.110.320.210.110.210.210.320.640.210.540.430.540.210.430.210.960.750.750.540.430.320.430.210.210.430.110.320.210.110.210.430.210.210.210.320.210.110.110.110.320.320.11
Frankrijk0.020.060.110.040.090.020.060.040.020.040.040.060.130.040.110.090.110.040.090.040.190.150.150.110.090.060.090.040.040.090.020.060.040.020.040.090.040.040.040.060.040.020.020.020.060.060.02
Japan0.341.011.680.671.340.341.010.670.340.670.671.012.010.671.681.341.680.671.340.673.022.352.351.681.341.011.340.670.671.340.341.010.670.340.671.340.670.670.671.010.670.340.340.341.011.010.34
USA0.140.410.680.270.540.140.410.270.140.270.270.410.810.270.680.540.680.270.540.271.220.950.950.680.540.410.540.270.270.540.140.410.270.140.270.540.270.270.270.410.270.140.140.140.410.410.14

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Landen  x  Totale_consumptie \tabularnewline
  & 1 & 10 & 11 & 12 & 14 & 15 & 16 & 17 & 18 & 19 & 2 & 21 & 22 & 23 & 24 & 25 & 26 & 27 & 28 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 42 & 44 & 45 & 46 & 47 & 48 & 49 & 51 & 52 & 53 & 56 & 58 & 6 & 7 & 8 & 9 \tabularnewline
Belgi� & 0.2 & 0.6 & 1 & 0.4 & 0.8 & 0.2 & 0.6 & 0.4 & 0.2 & 0.4 & 0.4 & 0.6 & 1.2 & 0.4 & 1 & 0.8 & 1 & 0.4 & 0.8 & 0.4 & 1.8 & 1.4 & 1.4 & 1 & 0.8 & 0.6 & 0.8 & 0.4 & 0.4 & 0.8 & 0.2 & 0.6 & 0.4 & 0.2 & 0.4 & 0.8 & 0.4 & 0.4 & 0.4 & 0.6 & 0.4 & 0.2 & 0.2 & 0.2 & 0.6 & 0.6 & 0.2 \tabularnewline
Canada & 0.2 & 0.6 & 1 & 0.4 & 0.8 & 0.2 & 0.6 & 0.4 & 0.2 & 0.4 & 0.4 & 0.6 & 1.2 & 0.4 & 1 & 0.8 & 1 & 0.4 & 0.8 & 0.4 & 1.8 & 1.4 & 1.4 & 1 & 0.8 & 0.6 & 0.8 & 0.4 & 0.4 & 0.8 & 0.2 & 0.6 & 0.4 & 0.2 & 0.4 & 0.8 & 0.4 & 0.4 & 0.4 & 0.6 & 0.4 & 0.2 & 0.2 & 0.2 & 0.6 & 0.6 & 0.2 \tabularnewline
Duitsland & 0.11 & 0.32 & 0.54 & 0.21 & 0.43 & 0.11 & 0.32 & 0.21 & 0.11 & 0.21 & 0.21 & 0.32 & 0.64 & 0.21 & 0.54 & 0.43 & 0.54 & 0.21 & 0.43 & 0.21 & 0.96 & 0.75 & 0.75 & 0.54 & 0.43 & 0.32 & 0.43 & 0.21 & 0.21 & 0.43 & 0.11 & 0.32 & 0.21 & 0.11 & 0.21 & 0.43 & 0.21 & 0.21 & 0.21 & 0.32 & 0.21 & 0.11 & 0.11 & 0.11 & 0.32 & 0.32 & 0.11 \tabularnewline
Frankrijk & 0.02 & 0.06 & 0.11 & 0.04 & 0.09 & 0.02 & 0.06 & 0.04 & 0.02 & 0.04 & 0.04 & 0.06 & 0.13 & 0.04 & 0.11 & 0.09 & 0.11 & 0.04 & 0.09 & 0.04 & 0.19 & 0.15 & 0.15 & 0.11 & 0.09 & 0.06 & 0.09 & 0.04 & 0.04 & 0.09 & 0.02 & 0.06 & 0.04 & 0.02 & 0.04 & 0.09 & 0.04 & 0.04 & 0.04 & 0.06 & 0.04 & 0.02 & 0.02 & 0.02 & 0.06 & 0.06 & 0.02 \tabularnewline
Japan & 0.34 & 1.01 & 1.68 & 0.67 & 1.34 & 0.34 & 1.01 & 0.67 & 0.34 & 0.67 & 0.67 & 1.01 & 2.01 & 0.67 & 1.68 & 1.34 & 1.68 & 0.67 & 1.34 & 0.67 & 3.02 & 2.35 & 2.35 & 1.68 & 1.34 & 1.01 & 1.34 & 0.67 & 0.67 & 1.34 & 0.34 & 1.01 & 0.67 & 0.34 & 0.67 & 1.34 & 0.67 & 0.67 & 0.67 & 1.01 & 0.67 & 0.34 & 0.34 & 0.34 & 1.01 & 1.01 & 0.34 \tabularnewline
USA & 0.14 & 0.41 & 0.68 & 0.27 & 0.54 & 0.14 & 0.41 & 0.27 & 0.14 & 0.27 & 0.27 & 0.41 & 0.81 & 0.27 & 0.68 & 0.54 & 0.68 & 0.27 & 0.54 & 0.27 & 1.22 & 0.95 & 0.95 & 0.68 & 0.54 & 0.41 & 0.54 & 0.27 & 0.27 & 0.54 & 0.14 & 0.41 & 0.27 & 0.14 & 0.27 & 0.54 & 0.27 & 0.27 & 0.27 & 0.41 & 0.27 & 0.14 & 0.14 & 0.14 & 0.41 & 0.41 & 0.14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=316224&T=2

[TABLE]
[ROW]Tabulation of Expected Results[/C][/ROW]
[ROW]Landen  x  Totale_consumptie[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]10[/C][C]11[/C][C]12[/C][C]14[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]2[/C][C]21[/C][C]22[/C][C]23[/C][C]24[/C][C]25[/C][C]26[/C][C]27[/C][C]28[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][C]40[/C][C]42[/C][C]44[/C][C]45[/C][C]46[/C][C]47[/C][C]48[/C][C]49[/C][C]51[/C][C]52[/C][C]53[/C][C]56[/C][C]58[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][/ROW]
[C]Belgi�[/C][C]0.2[/C][C]0.6[/C][C]1[/C][C]0.4[/C][C]0.8[/C][C]0.2[/C][C]0.6[/C][C]0.4[/C][C]0.2[/C][C]0.4[/C][C]0.4[/C][C]0.6[/C][C]1.2[/C][C]0.4[/C][C]1[/C][C]0.8[/C][C]1[/C][C]0.4[/C][C]0.8[/C][C]0.4[/C][C]1.8[/C][C]1.4[/C][C]1.4[/C][C]1[/C][C]0.8[/C][C]0.6[/C][C]0.8[/C][C]0.4[/C][C]0.4[/C][C]0.8[/C][C]0.2[/C][C]0.6[/C][C]0.4[/C][C]0.2[/C][C]0.4[/C][C]0.8[/C][C]0.4[/C][C]0.4[/C][C]0.4[/C][C]0.6[/C][C]0.4[/C][C]0.2[/C][C]0.2[/C][C]0.2[/C][C]0.6[/C][C]0.6[/C][C]0.2[/C][/ROW]
[C]Canada[/C][C]0.2[/C][C]0.6[/C][C]1[/C][C]0.4[/C][C]0.8[/C][C]0.2[/C][C]0.6[/C][C]0.4[/C][C]0.2[/C][C]0.4[/C][C]0.4[/C][C]0.6[/C][C]1.2[/C][C]0.4[/C][C]1[/C][C]0.8[/C][C]1[/C][C]0.4[/C][C]0.8[/C][C]0.4[/C][C]1.8[/C][C]1.4[/C][C]1.4[/C][C]1[/C][C]0.8[/C][C]0.6[/C][C]0.8[/C][C]0.4[/C][C]0.4[/C][C]0.8[/C][C]0.2[/C][C]0.6[/C][C]0.4[/C][C]0.2[/C][C]0.4[/C][C]0.8[/C][C]0.4[/C][C]0.4[/C][C]0.4[/C][C]0.6[/C][C]0.4[/C][C]0.2[/C][C]0.2[/C][C]0.2[/C][C]0.6[/C][C]0.6[/C][C]0.2[/C][/ROW]
[C]Duitsland[/C][C]0.11[/C][C]0.32[/C][C]0.54[/C][C]0.21[/C][C]0.43[/C][C]0.11[/C][C]0.32[/C][C]0.21[/C][C]0.11[/C][C]0.21[/C][C]0.21[/C][C]0.32[/C][C]0.64[/C][C]0.21[/C][C]0.54[/C][C]0.43[/C][C]0.54[/C][C]0.21[/C][C]0.43[/C][C]0.21[/C][C]0.96[/C][C]0.75[/C][C]0.75[/C][C]0.54[/C][C]0.43[/C][C]0.32[/C][C]0.43[/C][C]0.21[/C][C]0.21[/C][C]0.43[/C][C]0.11[/C][C]0.32[/C][C]0.21[/C][C]0.11[/C][C]0.21[/C][C]0.43[/C][C]0.21[/C][C]0.21[/C][C]0.21[/C][C]0.32[/C][C]0.21[/C][C]0.11[/C][C]0.11[/C][C]0.11[/C][C]0.32[/C][C]0.32[/C][C]0.11[/C][/ROW]
[C]Frankrijk[/C][C]0.02[/C][C]0.06[/C][C]0.11[/C][C]0.04[/C][C]0.09[/C][C]0.02[/C][C]0.06[/C][C]0.04[/C][C]0.02[/C][C]0.04[/C][C]0.04[/C][C]0.06[/C][C]0.13[/C][C]0.04[/C][C]0.11[/C][C]0.09[/C][C]0.11[/C][C]0.04[/C][C]0.09[/C][C]0.04[/C][C]0.19[/C][C]0.15[/C][C]0.15[/C][C]0.11[/C][C]0.09[/C][C]0.06[/C][C]0.09[/C][C]0.04[/C][C]0.04[/C][C]0.09[/C][C]0.02[/C][C]0.06[/C][C]0.04[/C][C]0.02[/C][C]0.04[/C][C]0.09[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.06[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][/ROW]
[C]Japan[/C][C]0.34[/C][C]1.01[/C][C]1.68[/C][C]0.67[/C][C]1.34[/C][C]0.34[/C][C]1.01[/C][C]0.67[/C][C]0.34[/C][C]0.67[/C][C]0.67[/C][C]1.01[/C][C]2.01[/C][C]0.67[/C][C]1.68[/C][C]1.34[/C][C]1.68[/C][C]0.67[/C][C]1.34[/C][C]0.67[/C][C]3.02[/C][C]2.35[/C][C]2.35[/C][C]1.68[/C][C]1.34[/C][C]1.01[/C][C]1.34[/C][C]0.67[/C][C]0.67[/C][C]1.34[/C][C]0.34[/C][C]1.01[/C][C]0.67[/C][C]0.34[/C][C]0.67[/C][C]1.34[/C][C]0.67[/C][C]0.67[/C][C]0.67[/C][C]1.01[/C][C]0.67[/C][C]0.34[/C][C]0.34[/C][C]0.34[/C][C]1.01[/C][C]1.01[/C][C]0.34[/C][/ROW]
[C]USA[/C][C]0.14[/C][C]0.41[/C][C]0.68[/C][C]0.27[/C][C]0.54[/C][C]0.14[/C][C]0.41[/C][C]0.27[/C][C]0.14[/C][C]0.27[/C][C]0.27[/C][C]0.41[/C][C]0.81[/C][C]0.27[/C][C]0.68[/C][C]0.54[/C][C]0.68[/C][C]0.27[/C][C]0.54[/C][C]0.27[/C][C]1.22[/C][C]0.95[/C][C]0.95[/C][C]0.68[/C][C]0.54[/C][C]0.41[/C][C]0.54[/C][C]0.27[/C][C]0.27[/C][C]0.54[/C][C]0.14[/C][C]0.41[/C][C]0.27[/C][C]0.14[/C][C]0.27[/C][C]0.54[/C][C]0.27[/C][C]0.27[/C][C]0.27[/C][C]0.41[/C][C]0.27[/C][C]0.14[/C][C]0.14[/C][C]0.14[/C][C]0.41[/C][C]0.41[/C][C]0.14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=316224&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=316224&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Tabulation of Expected Results
Landen x Totale_consumptie
1101112141516171819221222324252627282930313233343536373839404244454647484951525356586789
Belgi�0.20.610.40.80.20.60.40.20.40.40.61.20.410.810.40.80.41.81.41.410.80.60.80.40.40.80.20.60.40.20.40.80.40.40.40.60.40.20.20.20.60.60.2
Canada0.20.610.40.80.20.60.40.20.40.40.61.20.410.810.40.80.41.81.41.410.80.60.80.40.40.80.20.60.40.20.40.80.40.40.40.60.40.20.20.20.60.60.2
Duitsland0.110.320.540.210.430.110.320.210.110.210.210.320.640.210.540.430.540.210.430.210.960.750.750.540.430.320.430.210.210.430.110.320.210.110.210.430.210.210.210.320.210.110.110.110.320.320.11
Frankrijk0.020.060.110.040.090.020.060.040.020.040.040.060.130.040.110.090.110.040.090.040.190.150.150.110.090.060.090.040.040.090.020.060.040.020.040.090.040.040.040.060.040.020.020.020.060.060.02
Japan0.341.011.680.671.340.341.010.670.340.670.671.012.010.671.681.341.680.671.340.673.022.352.351.681.341.011.340.670.671.340.341.010.670.340.671.340.670.670.671.010.670.340.340.341.011.010.34
USA0.140.410.680.270.540.140.410.270.140.270.270.410.810.270.680.540.680.270.540.271.220.950.950.680.540.410.540.270.270.540.140.410.270.140.270.540.270.270.270.410.270.140.140.140.410.410.14






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic205.46
Degrees of Freedom230
P value0.88

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 205.46 \tabularnewline
Degrees of Freedom & 230 \tabularnewline
P value & 0.88 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=316224&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]205.46[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]230[/C][/ROW]
[ROW][C]P value[/C][C]0.88[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=316224&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=316224&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic205.46
Degrees of Freedom230
P value0.88


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
R code (references can be found in the software module):
library(vcd)
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
simulate.p.value=FALSE
if (par3 == 'Exact Pearson Chi-Squared by Simulation') simulate.p.value=TRUE
x <- t(x)
(z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,]))))
(table1 <- table(z[,cat1],z[,cat2]))
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
bitmap(file='pic1.png')
assoc(ftable(z[,cat1],z[,cat2],row.vars=1,dnn=c(V1,V2)),shade=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, table1[nr, nc], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
(cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )
if (par3 == 'McNemar Chi-Squared') {
(cst <- mcnemar.test(table1))
}
if (par3=='Fisher Exact Test') {
(cst <- fisher.test(table1))
}
if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Statistical Results',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, cst$method, 2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE)
if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE)
if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE)
if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE)
if (par3=='Fisher Exact Test') {
if ((ncol(table1) == 2) & (nrow(table1) == 2)) {
a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE)
} else {
a<-table.element(a, '--', 1,FALSE)
}
} else {
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
}
a<-table.row.end(a)
if(!simulate.p.value){
if(par3!='Fisher Exact Test') {
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$parameter, 1,FALSE)
a<-table.row.end(a)
}
}
a<-table.row.start(a)
a<-table.element(a, 'P value', 1, TRUE)
a<-table.element(a, round(cst$p.value, digits=2), 1,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')