Correct error in Mann-Whitney test

[pspp] / tests / language / stats / npar.at

diff --git a/tests/language/stats/npar.at b/tests/language/stats/npar.at
index 2e5d886f3fe05fdc53013d9f4a788e008df472c6..eec7433c34997c5541e3dbf7da71105dacb69150 100644 (file)
--- a/tests/language/stats/npar.at
+++ b/tests/language/stats/npar.at
@@ -325,6 +325,7 @@ NPAR TESTS
   /EXPECTED = 6 10 3
   .
 ])
+
 AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
 Table: x
 ,Observed N,Expected N,Residual
@@ -348,7 +349,7 @@ Table: Test Statistics
 ,x,y
 Chi-Square,3.14,6.00
 df,5,3
-Asymp. Sig.,.68,.11
+Asymp. Sig.,.678,.112
 
 Table: y
 ,Observed N,Expected N,Residual
@@ -362,7 +363,7 @@ Table: Test Statistics
 ,y
 Chi-Square,10.61
 df,3
-Asymp. Sig.,.01
+Asymp. Sig.,.014
 
 Table: Frequencies
 ,x,,,,y,,,
@@ -376,8 +377,9 @@ Table: Test Statistics
 ,x,y
 Chi-Square,.13,4.13
 df,2,2
-Asymp. Sig.,.94,.13
+Asymp. Sig.,.936,.127
 ])
+
 AT_CLEANUP
 
 AT_SETUP([NPAR TESTS CHISQUARE expected values missing])
@@ -400,6 +402,7 @@ NPAR TESTS
   /EXPECTED = 3 4 5 4 3 1
   .
 ])
+
 AT_CHECK([pspp -O format=csv npar.sps], [1], [dnl
 "error: CHISQUARE test specified 6 expected values, but 4 distinct values were encountered in variable y."
 
@@ -407,8 +410,9 @@ Table: Test Statistics
 ,y
 Chi-Square,.00
 df,0
-Asymp. Sig.,1.00
+Asymp. Sig.,1.000
 ])
+
 AT_CLEANUP
 
 AT_SETUP([NPAR TESTS CHISQUARE with DESCRIPTIVES])
@@ -435,6 +439,7 @@ NPAR TESTS
   /STATISTICS=DESCRIPTIVES
   .
 ])
+
 AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
 Table: Frequencies
 ,x,,,,y,,,
@@ -453,7 +458,7 @@ Table: Test Statistics
 ,x,y
 Chi-Square,17.33,22.87
 df,7,7
-Asymp. Sig.,.02,.00
+Asymp. Sig.,.015,.002
 
 Table: Descriptive Statistics
 ,N,Mean,Std. Deviation,Minimum,Maximum
@@ -487,6 +492,7 @@ NPAR TESTS
   /STATISTICS=DESCRIPTIVES
   .
 ])
+
 AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
 Table: Frequencies
 ,x,,,,y,,,
@@ -505,7 +511,7 @@ Table: Test Statistics
 ,x,y
 Chi-Square,13.43,26.00
 df,7,7
-Asymp. Sig.,.06,.00
+Asymp. Sig.,.062,.001
 
 Table: Descriptive Statistics
 ,N,Mean,Std. Deviation,Minimum,Maximum
@@ -544,8 +550,8 @@ npar test
  /missing analysis
  /method=exact.
 ])
-AT_CHECK([pspp -o pspp.csv npar.sps])
-AT_CHECK([cat pspp.csv], [0], [dnl
+
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
 Table: Ranks
 ,,N,Mean Rank,Sum of Ranks
 first - second,Negative Ranks,8,6.00,48.00
@@ -556,10 +562,11 @@ first - second,Negative Ranks,8,6.00,48.00
 Table: Test Statistics
 ,first - second
 Z,-.18
-Asymp. Sig. (2-tailed),.86
-Exact Sig. (2-tailed),.89
-Exact Sig. (1-tailed),.45
+Asymp. Sig. (2-tailed),.861
+Exact Sig. (2-tailed),.893
+Exact Sig. (1-tailed),.446
 ])
+
 AT_CLEANUP
 
 AT_SETUP([NPAR TESTS WILCOXON with missing values])
@@ -590,11 +597,10 @@ npar test
  /wilcoxon=foo with bar (paired)
  /missing analysis
  /method=exact.
-
 ])
-AT_CHECK([pspp -o pspp.csv npar.sps])
+
 dnl This is the same output as the previous test.
-AT_CHECK([cat pspp.csv], [0], [dnl
+AT_CHECK([pspp -O format=csv npar.sps], [0], [dnl
 Table: Ranks
 ,,N,Mean Rank,Sum of Ranks
 first - second,Negative Ranks,8,6.00,48.00
@@ -605,9 +611,9 @@ first - second,Negative Ranks,8,6.00,48.00
 Table: Test Statistics
 ,first - second
 Z,-.18
-Asymp. Sig. (2-tailed),.86
-Exact Sig. (2-tailed),.89
-Exact Sig. (1-tailed),.45
+Asymp. Sig. (2-tailed),.861
+Exact Sig. (2-tailed),.893
+Exact Sig. (1-tailed),.446
 ])
 AT_CLEANUP
 
@@ -869,10 +875,8 @@ npar tests
        .
 ])
 
-AT_CHECK([pspp -o pspp.csv npar-runs.sps])
-
-AT_CHECK([cat pspp.csv], [0], [dnl
-Table: Runs Test
+AT_CHECK([pspp -O format=csv npar-runs.sps], [0],
+[Table: Runs Test
 ,score
 Test Value (median),3.0000
 Cases < Test Value,177.0000
@@ -880,7 +884,7 @@ Cases ≥ Test Value,309.0000
 Total Cases,486.0000
 Number of Runs,12
 Z,-20.9931
-Asymp. Sig. (2-tailed),.0000
+Asymp. Sig. (2-tailed),2.000
 
 Table: Runs Test
 ,score
@@ -890,7 +894,7 @@ Cases ≥ Test Value,227.0000
 Total Cases,486.0000
 Number of Runs,12
 Z,-21.0650
-Asymp. Sig. (2-tailed),.0000
+Asymp. Sig. (2-tailed),2.000
 
 Table: Runs Test
 ,score
@@ -900,12 +904,36 @@ Cases ≥ Test Value,170.0000
 Total Cases,486.0000
 Number of Runs,11
 Z,-21.0742
-Asymp. Sig. (2-tailed),.0000
+Asymp. Sig. (2-tailed),2.000
 ])
 
 AT_CLEANUP
 
 
+dnl Thanks to Douglas Bonett for providing this test case.
+AT_SETUP([NPAR TESTS Runs (2)])
+AT_DATA([npar-runs.sps], [dnl
+data list notable free /y.
+begin data
+1 1 2 1 2 1 1 2 1 1 1 2 1 2
+end data.
+NPAR TEST /RUNS(1.5) = y.
+])
+
+AT_CHECK([pspp -O format=csv npar-runs.sps], [0], [dnl
+Table: Runs Test
+,y
+Test Value,1.50
+Cases < Test Value,9
+Cases ≥ Test Value,5
+Total Cases,14
+Number of Runs,10
+Z,1.26
+Asymp. Sig. (2-tailed),.206
+])
+AT_CLEANUP
+
+
 AT_SETUP([NPAR TESTS Friedman])
 AT_DATA([npar-friedman.sps], [dnl
 set format F15.4.
@@ -927,9 +955,7 @@ npar tests
      /friedman = x y z.
 ])
 
-AT_CHECK([pspp -o pspp.csv npar-friedman.sps])
-
-AT_CHECK([cat pspp.csv], [0], [dnl
+AT_CHECK([pspp -O format=csv npar-friedman.sps], [0], [dnl
 Table: Ranks
 ,Mean Rank
 x,2.6500
@@ -940,7 +966,7 @@ Table: Test Statistics
 N,10
 Chi-Square,10.4737
 df,2
-Asymp. Sig.,.0053
+Asymp. Sig.,.005
 ])
 
 AT_CLEANUP
@@ -982,16 +1008,18 @@ begin data.
 85 0            
 76 1            
 145 1            
-24 1            
+24 1
+1 4
+-4 5
+34 5
+21 4
 end data.
 
 NPAR TESTS 
      /M-W = height BY sex (0,1).
 ])
 
-AT_CHECK([pspp -o pspp.csv npar-mann-whitney.sps])
-
-AT_CHECK([cat pspp.csv], [0], [dnl
+AT_CHECK([pspp -O format=csv npar-mann-whitney.sps], [0], [dnl
 Table: Ranks
 ,N,,,Mean Rank,,Sum of Ranks,
 ,0,1,Total,0,1,0,1
@@ -999,7 +1027,7 @@ height,15.0000,15.0000,30.0000,14.5333,16.4667,218.0000,247.0000
 
 Table: Test Statistics
 ,Mann-Whitney U,Wilcoxon W,Z,Asymp. Sig. (2-tailed)
-height,98.0000,218.0000,-.6020,.5472
+height,98.0000,218.0000,-.6020,.547
 ])