IBM SPSS Web Report - 011_V4_2_age.spv

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Separator Separator
A
   
Log
BOOTSTRAP
  /SAMPLING METHOD=SIMPLE
  /VARIABLES TARGET=V4_2 INPUT=V4_6
  /CRITERIA CILEVEL=95 CITYPE=PERCENTILE  NSAMPLES=1000
  /MISSING USERMISSING=EXCLUDE.
Bootstrap
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 11 rows
Output Created 29-JUL-2023 10:22:02
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT") (FILTER)
Weight <none>
Split File <none>
Syntax BOOTSTRAP
/SAMPLING METHOD=SIMPLE
/VARIABLES TARGET=V4_2 INPUT=V4_6
/CRITERIA CILEVEL=95 CITYPE=PERCENTILE NSAMPLES=1000
/MISSING USERMISSING=EXCLUDE.
Resources Processor Time 00:00:00,06
Elapsed Time 00:00:00,06
Bootstrap
Bootstrap SpecificationsBootstrap Specifications, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 5 rows
Sampling Method Simple
Number of Samples 1000
Confidence Interval Level 95,0%
Confidence Interval Type Percentile
Log
ONEWAY V4_2 BY V4_6
  /STATISTICS DESCRIPTIVES HOMOGENEITY
  /PLOT MEANS
  /MISSING ANALYSIS.
Oneway
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 29-JUL-2023 10:22:02
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT") (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1416718
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each analysis are based on cases with no missing data for any variable in the analysis.
Syntax ONEWAY V4_2 BY V4_6
/STATISTICS DESCRIPTIVES HOMOGENEITY
/PLOT MEANS
/MISSING ANALYSIS.
Resources Processor Time 00:00:25,37
Elapsed Time 00:00:28,53
Oneway
DescriptivesDescriptives, table, V4_2 Age, 1 layers, 3 levels of column headers and 3 levels of row headers, table with 8 columns and 38 rows
V4_2 Age V4_2 Age
  Statistic Bootstrapa
Bias Std. Error 95% Confidence Interval
Lower Upper
2 Hungary N 558 0 21 518 596
Mean 37,79 -,02 ,69 36,38 39,06
Std. Deviation 16,131 -,042 ,413 15,315 16,946
Std. Error ,683        
95% Confidence Interval for Mean Lower Bound 36,45        
Upper Bound 39,14        
Minimum 15        
Maximum 99        
3 Romania N 1081 -1 25 1033 1131
Mean 33,40 ,01 ,31 32,79 34,02
Std. Deviation 9,961 -,017 ,201 9,552 10,339
Std. Error ,303        
95% Confidence Interval for Mean Lower Bound 32,80        
Upper Bound 33,99        
Minimum 16        
Maximum 67        
4 Italy N 600 0 21 559 642
Mean 50,83 -,03 ,75 49,36 52,25
Std. Deviation 18,167 -,024 ,397 17,351 18,895
Std. Error ,742        
95% Confidence Interval for Mean Lower Bound 49,37        
Upper Bound 52,29        
Minimum 18        
Maximum 96        
Total N 2239 0 7 2223 2253
Mean 39,16 -,01 ,33 38,51 39,84
Std. Deviation 15,937 -,020 ,241 15,448 16,405
Std. Error ,337        
95% Confidence Interval for Mean Lower Bound 38,50        
Upper Bound 39,83        
Minimum 15        
Maximum 99        
a. Unless otherwise noted, bootstrap results are based on 1000 bootstrap samples
Oneway
Test of Homogeneity of VariancesTest of Homogeneity of Variances, table, V4_2 Age, 1 layers, 1 levels of column headers and 0 levels of row headers, table with 4 columns and 4 rows
V4_2 Age V4_2 Age
Levene Statistic df1 df2 Sig.
190,492 2 2236 ,000
Oneway
ANOVAANOVA, table, V4_2 Age, 1 layers, 1 levels of column headers and 1 levels of row headers, table with 6 columns and 6 rows
V4_2 Age V4_2 Age
  Sum of Squares df Mean Square F Sig.
Between Groups 118647,273 2 59323,636 294,910 ,000
Within Groups 449790,914 2236 201,159    
Total 568438,187 2238      
Log
ONEWAY V4_2 BY V4_6
  /STATISTICS DESCRIPTIVES HOMOGENEITY
  /PLOT MEANS
  /MISSING ANALYSIS
  /POSTHOC=T2 ALPHA(0.05).
Oneway
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 29-JUL-2023 10:24:04
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT") (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 2257
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each analysis are based on cases with no missing data for any variable in the analysis.
Syntax ONEWAY V4_2 BY V4_6
/STATISTICS DESCRIPTIVES HOMOGENEITY
/PLOT MEANS
/MISSING ANALYSIS
/POSTHOC=T2 ALPHA(0.05).
Resources Processor Time 00:00:00,30
Elapsed Time 00:00:00,37
Oneway
DescriptivesDescriptives, table, V4_2 Age, 1 layers, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 8 rows
V4_2 Age V4_2 Age
  N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
2 Hungary 558 37,79 16,131 ,683 36,45 39,14 15 99
3 Romania 1081 33,40 9,961 ,303 32,80 33,99 16 67
4 Italy 600 50,83 18,167 ,742 49,37 52,29 18 96
Total 2239 39,16 15,937 ,337 38,50 39,83 15 99
Oneway
Test of Homogeneity of VariancesTest of Homogeneity of Variances, table, V4_2 Age, 1 layers, 1 levels of column headers and 0 levels of row headers, table with 4 columns and 4 rows
V4_2 Age V4_2 Age
Levene Statistic df1 df2 Sig.
190,492 2 2236 ,000
Oneway
ANOVAANOVA, table, V4_2 Age, 1 layers, 1 levels of column headers and 1 levels of row headers, table with 6 columns and 6 rows
V4_2 Age V4_2 Age
  Sum of Squares df Mean Square F Sig.
Between Groups 118647,273 2 59323,636 294,910 ,000
Within Groups 449790,914 2236 201,159    
Total 568438,187 2238      
Post Hoc Tests
Multiple ComparisonsMultiple Comparisons, table, Dependent Variable, V4_2 Age, Tamhane, 1 layers, 2 levels of column headers and 2 levels of row headers, table with 7 columns and 12 rows
V4_2 Age V4_2 Age
Tamhane Tamhane
(I) V4_6 Your place of residence: Country (J) V4_6 Your place of residence: Country Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval
Lower Bound Upper Bound
2 Hungary 3 Romania 4,396* ,747 ,000 2,61 6,18
4 Italy -13,036* 1,008 ,000 -15,45 -10,63
3 Romania 2 Hungary -4,396* ,747 ,000 -6,18 -2,61
4 Italy -17,432* ,801 ,000 -19,35 -15,52
4 Italy 2 Hungary 13,036* 1,008 ,000 10,63 15,45
3 Romania 17,432* ,801 ,000 15,52 19,35
*. The mean difference is significant at the 0.05 level.
Means Plots
Your place of residence: Country: Italy Mean of Age: 50,83 Your place of residence: Country: Romania Mean of Age: 33,398 Your place of residence: Country: Hungary Mean of Age: 37,794 Your place of residence: Country: Romania Mean of Age: 33,398 Your place of residence: Country: Hungary Mean of Age: 37,794 35 40 45 50 50 45 40 35 Hungary Romania Italy Italy Romania Hungary
Log
NPAR TESTS
  /K-W=V4_2 BY V4_6(2 4)
  /STATISTICS DESCRIPTIVES
  /MISSING ANALYSIS.
NPar Tests
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 16 rows
Output Created 29-JUL-2023 10:26:10
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT") (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 2257
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test.
Syntax NPAR TESTS
/K-W=V4_2 BY V4_6(2 4)
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,09
Number of Cases Alloweda 224694
a. Based on availability of workspace memory.
NPar Tests
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 6 columns and 4 rows
  N Mean Std. Deviation Minimum Maximum
V4_2 Age 2239 39,16 15,937 15 99
V4_6 Your place of residence: Country 2257 3,01 ,721 2 4
Kruskal-Wallis Test
RanksRanks, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 6 rows
  V4_6 Your place of residence: Country N Mean Rank
V4_2 Age 2 Hungary 558 1065,95
3 Romania 1081 915,10
4 Italy 600 1539,43
Total 2239  
Kruskal-Wallis Test
Test Statisticsa,bTest Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 2 columns and 7 rows
  V4_2 Age
Chi-Square 365,244
df 2
Asymp. Sig. ,000
a. Kruskal Wallis Test
b. Grouping Variable: V4_6 Your place of residence: Country
Log
T-TEST GROUPS=V4_6(2 3)
  /MISSING=ANALYSIS
  /VARIABLES=V4_2
  /CRITERIA=CI(.95).
T-Test
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 29-JUL-2023 10:31:53
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT") (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 2257
Missing Value Handling Definition of Missing User defined missing values are treated as missing.
Cases Used Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.
Syntax T-TEST GROUPS=V4_6(2 3)
/MISSING=ANALYSIS
/VARIABLES=V4_2
/CRITERIA=CI(.95).
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,03
T-Test
Group StatisticsGroup Statistics, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 4 rows
  V4_6 Your place of residence: Country N Mean Std. Deviation Std. Error Mean
V4_2 Age 2 Hungary 558 37,79 16,131 ,683
3 Romania 1081 33,40 9,961 ,303
T-Test
Independent Samples TestIndependent Samples Test, table, 3 levels of column headers and 2 levels of row headers, table with 11 columns and 6 rows
  Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
Lower Upper
V4_2 Age Equal variances assumed 274,055 ,000 6,796 1637 ,000 4,396 ,647 3,127 5,665
Equal variances not assumed     5,885 782,204 ,000 4,396 ,747 2,930 5,863
Log
NPAR TESTS
  /M-W= V4_2 BY V4_6(2 3)
  /MISSING ANALYSIS.
NPar Tests
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 16 rows
Output Created 29-JUL-2023 10:32:29
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT") (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 2257
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test.
Syntax NPAR TESTS
/M-W= V4_2 BY V4_6(2 3)
/MISSING ANALYSIS.
Resources Processor Time 00:00:00,05
Elapsed Time 00:00:00,06
Number of Cases Alloweda 224694
a. Based on availability of workspace memory.
Mann-Whitney Test
RanksRanks, table, 1 levels of column headers and 2 levels of row headers, table with 5 columns and 5 rows
  V4_6 Your place of residence: Country N Mean Rank Sum of Ranks
V4_2 Age 2 Hungary 558 887,84 495414,00
3 Romania 1081 784,98 848566,00
Total 1639    
Mann-Whitney Test
Test StatisticsaTest Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 2 columns and 7 rows
  V4_2 Age
Mann-Whitney U 263745,000
Wilcoxon W 848566,000
Z -4,171
Asymp. Sig. (2-tailed) ,000
a. Grouping Variable: V4_6 Your place of residence: Country
Log
GRAPH
  /HISTOGRAM=V4_2
  /PANEL COLVAR=V4_6 COLOP=CROSS.
Graph
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 12 rows
Output Created 04-AUG-2023 00:49:12
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 2320
Syntax GRAPH
/HISTOGRAM=V4_2
/PANEL COLVAR=V4_6 COLOP=CROSS.
Resources Processor Time 00:00:00,30
Elapsed Time 00:00:00,27
Graph
Age: 96 Frequency: 1 Age: 96 Frequency: 1 Age: 93 Frequency: 1 Age: 93 Frequency: 1 Age: 90 Frequency: 1 Age: 90 Frequency: 1 Age: 88,8 Frequency: 5 Age: 88,8 Frequency: 5 Age: 87 Frequency: 2 Age: 87 Frequency: 2 Age: 84,333 Frequency: 9 Age: 84,333 Frequency: 9 Age: 82,333 Frequency: 3 Age: 82,333 Frequency: 3 Age: 80,333 Frequency: 6 Age: 80,333 Frequency: 6 Age: 78,375 Frequency: 8 Age: 78,375 Frequency: 8 Age: 76,435 Frequency: 23 Age: 76,435 Frequency: 23 Age: 74,308 Frequency: 13 Age: 74,308 Frequency: 13 Age: 72,444 Frequency: 18 Age: 72,444 Frequency: 18 Age: 70,5 Frequency: 16 Age: 70,5 Frequency: 16 Age: 68,75 Frequency: 12 Age: 68,75 Frequency: 12 Age: 66,385 Frequency: 26 Age: 66,385 Frequency: 26 Age: 64,636 Frequency: 22 Age: 64,636 Frequency: 22 Age: 62,563 Frequency: 16 Age: 62,563 Frequency: 16 Age: 60,292 Frequency: 24 Age: 60,292 Frequency: 24 Age: 58,333 Frequency: 18 Age: 58,333 Frequency: 18 Age: 56,6 Frequency: 15 Age: 56,6 Frequency: 15 Age: 54,563 Frequency: 32 Age: 54,563 Frequency: 32 Age: 52,606 Frequency: 33 Age: 52,606 Frequency: 33 Age: 50,28 Frequency: 25 Age: 50,28 Frequency: 25 Age: 48,4 Frequency: 15 Age: 48,4 Frequency: 15 Age: 46,4 Frequency: 25 Age: 46,4 Frequency: 25 Age: 44,571 Frequency: 21 Age: 44,571 Frequency: 21 Age: 42,474 Frequency: 19 Age: 42,474 Frequency: 19 Age: 40,444 Frequency: 18 Age: 40,444 Frequency: 18 Age: 38,714 Frequency: 21 Age: 38,714 Frequency: 21 Age: 36,563 Frequency: 16 Age: 36,563 Frequency: 16 Age: 34,429 Frequency: 21 Age: 34,429 Frequency: 21 Age: 32,5 Frequency: 16 Age: 32,5 Frequency: 16 Age: 30,417 Frequency: 12 Age: 30,417 Frequency: 12 Age: 28,455 Frequency: 11 Age: 28,455 Frequency: 11 Age: 26,25 Frequency: 12 Age: 26,25 Frequency: 12 Age: 24,444 Frequency: 9 Age: 24,444 Frequency: 9 Age: 22,667 Frequency: 15 Age: 22,667 Frequency: 15 Age: 20,429 Frequency: 14 Age: 20,429 Frequency: 14 Age: 18,143 Frequency: 28 Age: 18,143 Frequency: 28 Age: 66,667 Frequency: 3 Age: 66,667 Frequency: 3 Age: 65 Frequency: 1 Age: 65 Frequency: 1 Age: 62 Frequency: 3 Age: 62 Frequency: 3 Age: 60,75 Frequency: 4 Age: 60,75 Frequency: 4 Age: 58,5 Frequency: 2 Age: 58,5 Frequency: 2 Age: 56 Frequency: 5 Age: 56 Frequency: 5 Age: 54,5 Frequency: 14 Age: 54,5 Frequency: 14 Age: 52,414 Frequency: 29 Age: 52,414 Frequency: 29 Age: 50,222 Frequency: 18 Age: 50,222 Frequency: 18 Age: 48,613 Frequency: 31 Age: 48,613 Frequency: 31 Age: 46,516 Frequency: 31 Age: 46,516 Frequency: 31 Age: 44,512 Frequency: 41 Age: 44,512 Frequency: 41 Age: 42,545 Frequency: 55 Age: 42,545 Frequency: 55 Age: 40,545 Frequency: 44 Age: 40,545 Frequency: 44 Age: 38,441 Frequency: 68 Age: 38,441 Frequency: 68 Age: 36,342 Frequency: 73 Age: 36,342 Frequency: 73 Age: 34,515 Frequency: 66 Age: 34,515 Frequency: 66 Age: 32,476 Frequency: 82 Age: 32,476 Frequency: 82 Age: 30,518 Frequency: 83 Age: 30,518 Frequency: 83 Age: 28,414 Frequency: 70 Age: 28,414 Frequency: 70 Age: 26,571 Frequency: 77 Age: 26,571 Frequency: 77 Age: 24,484 Frequency: 93 Age: 24,484 Frequency: 93 Age: 22,568 Frequency: 74 Age: 22,568 Frequency: 74 Age: 20,515 Frequency: 66 Age: 20,515 Frequency: 66 Age: 18,462 Frequency: 39 Age: 18,462 Frequency: 39 Age: 16,6 Frequency: 10 Age: 16,6 Frequency: 10 Age: 99 Frequency: 1 Age: 99 Frequency: 1 Age: 92 Frequency: 1 Age: 92 Frequency: 1 Age: 87 Frequency: 1 Age: 87 Frequency: 1 Age: 84 Frequency: 1 Age: 84 Frequency: 1 Age: 78 Frequency: 1 Age: 78 Frequency: 1 Age: 77 Frequency: 1 Age: 77 Frequency: 1 Age: 74 Frequency: 2 Age: 74 Frequency: 2 Age: 72,25 Frequency: 4 Age: 72,25 Frequency: 4 Age: 70,333 Frequency: 3 Age: 70,333 Frequency: 3 Age: 68,25 Frequency: 4 Age: 68,25 Frequency: 4 Age: 66,5 Frequency: 6 Age: 66,5 Frequency: 6 Age: 64,2 Frequency: 5 Age: 64,2 Frequency: 5 Age: 62,545 Frequency: 11 Age: 62,545 Frequency: 11 Age: 60,571 Frequency: 14 Age: 60,571 Frequency: 14 Age: 58,455 Frequency: 11 Age: 58,455 Frequency: 11 Age: 56,417 Frequency: 12 Age: 56,417 Frequency: 12 Age: 54,444 Frequency: 18 Age: 54,444 Frequency: 18 Age: 52,5 Frequency: 20 Age: 52,5 Frequency: 20 Age: 50,361 Frequency: 36 Age: 50,361 Frequency: 36 Age: 48,541 Frequency: 37 Age: 48,541 Frequency: 37 Age: 46,514 Frequency: 37 Age: 46,514 Frequency: 37 Age: 44,56 Frequency: 25 Age: 44,56 Frequency: 25 Age: 42,292 Frequency: 24 Age: 42,292 Frequency: 24 Age: 40,385 Frequency: 26 Age: 40,385 Frequency: 26 Age: 38,313 Frequency: 16 Age: 38,313 Frequency: 16 Age: 36,444 Frequency: 18 Age: 36,444 Frequency: 18 Age: 34,4 Frequency: 20 Age: 34,4 Frequency: 20 Age: 32,4 Frequency: 20 Age: 32,4 Frequency: 20 Age: 30,211 Frequency: 19 Age: 30,211 Frequency: 19 Age: 28,308 Frequency: 13 Age: 28,308 Frequency: 13 Age: 26,476 Frequency: 21 Age: 26,476 Frequency: 21 Age: 24,727 Frequency: 11 Age: 24,727 Frequency: 11 Age: 22,538 Frequency: 13 Age: 22,538 Frequency: 13 Age: 20,643 Frequency: 14 Age: 20,643 Frequency: 14 Age: 18,417 Frequency: 120 Age: 18,417 Frequency: 120 Age: 16,842 Frequency: 19 Age: 16,842 Frequency: 19 Age: 15 Frequency: 1 Age: 15 Frequency: 1 Hungary Romania - TR Italy 0 20 40 60 80 100 100 80 60 40 20 0 0 20 40 60 80 100 100 80 60 40 20 0 0 20 40 60 80 100 120 120 100 80 60 40 20 0 0 20 40 60 80 100 100 80 60 40 20 0
Log
GRAPH
  /HISTOGRAM=V4_2
  /PANEL ROWVAR=V4_6 ROWOP=CROSS.
Graph
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 12 rows
Output Created 04-AUG-2023 00:49:33
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 2320
Syntax GRAPH
/HISTOGRAM=V4_2
/PANEL ROWVAR=V4_6 ROWOP=CROSS.
Resources Processor Time 00:00:00,33
Elapsed Time 00:00:00,28
Graph
Age: 96 Frequency: 1 Age: 96 Frequency: 1 Age: 93 Frequency: 1 Age: 93 Frequency: 1 Age: 90 Frequency: 1 Age: 90 Frequency: 1 Age: 88,8 Frequency: 5 Age: 88,8 Frequency: 5 Age: 87 Frequency: 2 Age: 87 Frequency: 2 Age: 84,333 Frequency: 9 Age: 84,333 Frequency: 9 Age: 82,333 Frequency: 3 Age: 82,333 Frequency: 3 Age: 80,333 Frequency: 6 Age: 80,333 Frequency: 6 Age: 78,375 Frequency: 8 Age: 78,375 Frequency: 8 Age: 76,435 Frequency: 23 Age: 76,435 Frequency: 23 Age: 74,308 Frequency: 13 Age: 74,308 Frequency: 13 Age: 72,444 Frequency: 18 Age: 72,444 Frequency: 18 Age: 70,5 Frequency: 16 Age: 70,5 Frequency: 16 Age: 68,75 Frequency: 12 Age: 68,75 Frequency: 12 Age: 66,385 Frequency: 26 Age: 66,385 Frequency: 26 Age: 64,636 Frequency: 22 Age: 64,636 Frequency: 22 Age: 62,563 Frequency: 16 Age: 62,563 Frequency: 16 Age: 60,292 Frequency: 24 Age: 60,292 Frequency: 24 Age: 58,333 Frequency: 18 Age: 58,333 Frequency: 18 Age: 56,6 Frequency: 15 Age: 56,6 Frequency: 15 Age: 54,563 Frequency: 32 Age: 54,563 Frequency: 32 Age: 52,606 Frequency: 33 Age: 52,606 Frequency: 33 Age: 50,28 Frequency: 25 Age: 50,28 Frequency: 25 Age: 48,4 Frequency: 15 Age: 48,4 Frequency: 15 Age: 46,4 Frequency: 25 Age: 46,4 Frequency: 25 Age: 44,571 Frequency: 21 Age: 44,571 Frequency: 21 Age: 42,474 Frequency: 19 Age: 42,474 Frequency: 19 Age: 40,444 Frequency: 18 Age: 40,444 Frequency: 18 Age: 38,714 Frequency: 21 Age: 38,714 Frequency: 21 Age: 36,563 Frequency: 16 Age: 36,563 Frequency: 16 Age: 34,429 Frequency: 21 Age: 34,429 Frequency: 21 Age: 32,5 Frequency: 16 Age: 32,5 Frequency: 16 Age: 30,417 Frequency: 12 Age: 30,417 Frequency: 12 Age: 28,455 Frequency: 11 Age: 28,455 Frequency: 11 Age: 26,25 Frequency: 12 Age: 26,25 Frequency: 12 Age: 24,444 Frequency: 9 Age: 24,444 Frequency: 9 Age: 22,667 Frequency: 15 Age: 22,667 Frequency: 15 Age: 20,429 Frequency: 14 Age: 20,429 Frequency: 14 Age: 18,143 Frequency: 28 Age: 18,143 Frequency: 28 Age: 66,667 Frequency: 3 Age: 66,667 Frequency: 3 Age: 65 Frequency: 1 Age: 65 Frequency: 1 Age: 62 Frequency: 3 Age: 62 Frequency: 3 Age: 60,75 Frequency: 4 Age: 60,75 Frequency: 4 Age: 58,5 Frequency: 2 Age: 58,5 Frequency: 2 Age: 56 Frequency: 5 Age: 56 Frequency: 5 Age: 54,5 Frequency: 14 Age: 54,5 Frequency: 14 Age: 52,414 Frequency: 29 Age: 52,414 Frequency: 29 Age: 50,222 Frequency: 18 Age: 50,222 Frequency: 18 Age: 48,613 Frequency: 31 Age: 48,613 Frequency: 31 Age: 46,516 Frequency: 31 Age: 46,516 Frequency: 31 Age: 44,512 Frequency: 41 Age: 44,512 Frequency: 41 Age: 42,545 Frequency: 55 Age: 42,545 Frequency: 55 Age: 40,545 Frequency: 44 Age: 40,545 Frequency: 44 Age: 38,441 Frequency: 68 Age: 38,441 Frequency: 68 Age: 36,342 Frequency: 73 Age: 36,342 Frequency: 73 Age: 34,515 Frequency: 66 Age: 34,515 Frequency: 66 Age: 32,476 Frequency: 82 Age: 32,476 Frequency: 82 Age: 30,518 Frequency: 83 Age: 30,518 Frequency: 83 Age: 28,414 Frequency: 70 Age: 28,414 Frequency: 70 Age: 26,571 Frequency: 77 Age: 26,571 Frequency: 77 Age: 24,484 Frequency: 93 Age: 24,484 Frequency: 93 Age: 22,568 Frequency: 74 Age: 22,568 Frequency: 74 Age: 20,515 Frequency: 66 Age: 20,515 Frequency: 66 Age: 18,462 Frequency: 39 Age: 18,462 Frequency: 39 Age: 16,6 Frequency: 10 Age: 16,6 Frequency: 10 Age: 99 Frequency: 1 Age: 99 Frequency: 1 Age: 92 Frequency: 1 Age: 92 Frequency: 1 Age: 87 Frequency: 1 Age: 87 Frequency: 1 Age: 84 Frequency: 1 Age: 84 Frequency: 1 Age: 78 Frequency: 1 Age: 78 Frequency: 1 Age: 77 Frequency: 1 Age: 77 Frequency: 1 Age: 74 Frequency: 2 Age: 74 Frequency: 2 Age: 72,25 Frequency: 4 Age: 72,25 Frequency: 4 Age: 70,333 Frequency: 3 Age: 70,333 Frequency: 3 Age: 68,25 Frequency: 4 Age: 68,25 Frequency: 4 Age: 66,5 Frequency: 6 Age: 66,5 Frequency: 6 Age: 64,2 Frequency: 5 Age: 64,2 Frequency: 5 Age: 62,545 Frequency: 11 Age: 62,545 Frequency: 11 Age: 60,571 Frequency: 14 Age: 60,571 Frequency: 14 Age: 58,455 Frequency: 11 Age: 58,455 Frequency: 11 Age: 56,417 Frequency: 12 Age: 56,417 Frequency: 12 Age: 54,444 Frequency: 18 Age: 54,444 Frequency: 18 Age: 52,5 Frequency: 20 Age: 52,5 Frequency: 20 Age: 50,361 Frequency: 36 Age: 50,361 Frequency: 36 Age: 48,541 Frequency: 37 Age: 48,541 Frequency: 37 Age: 46,514 Frequency: 37 Age: 46,514 Frequency: 37 Age: 44,56 Frequency: 25 Age: 44,56 Frequency: 25 Age: 42,292 Frequency: 24 Age: 42,292 Frequency: 24 Age: 40,385 Frequency: 26 Age: 40,385 Frequency: 26 Age: 38,313 Frequency: 16 Age: 38,313 Frequency: 16 Age: 36,444 Frequency: 18 Age: 36,444 Frequency: 18 Age: 34,4 Frequency: 20 Age: 34,4 Frequency: 20 Age: 32,4 Frequency: 20 Age: 32,4 Frequency: 20 Age: 30,211 Frequency: 19 Age: 30,211 Frequency: 19 Age: 28,308 Frequency: 13 Age: 28,308 Frequency: 13 Age: 26,476 Frequency: 21 Age: 26,476 Frequency: 21 Age: 24,727 Frequency: 11 Age: 24,727 Frequency: 11 Age: 22,538 Frequency: 13 Age: 22,538 Frequency: 13 Age: 20,643 Frequency: 14 Age: 20,643 Frequency: 14 Age: 18,417 Frequency: 120 Age: 18,417 Frequency: 120 Age: 16,842 Frequency: 19 Age: 16,842 Frequency: 19 Age: 15 Frequency: 1 Age: 15 Frequency: 1 Italy Romania - TR Hungary 0 20 40 60 80 100 120 120 100 80 60 40 20 0 0 20 40 60 80 100 100 80 60 40 20 0 0 20 40 60 80 100 120 120 100 80 60 40 20 0 0 20 40 60 80 100 120 120 100 80 60 40 20 0
IBM SPSS Web Report
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