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$BE}7W2r@O(B 05 $B%/%i%9(B : $BBh(B09$B2s(B (11/26/08)

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  1. $B%l%]!<%H$rGR8+$7$F(B & $B@hGZ$NNc$+$i(B: $BDs=P$BO"Mm%Z!<%8(B $B$K7G:\(B
    i. SAS, $BA`:n4XO"(B
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      $B$b$7$/$O!"0J2<$N9T$r%W%m%0%i%`$N%3%a%s%H$ND>8e$KF~$l$k!#(B
      options linesize=72;
      
    ii. $B%l%]!<%H:n@.4XO"(B
    • $B%l%]!<%H$X$N5-:\;v9`(B : $B;aL>!"3X@RHV9f!"%a!<%k$N(B Subject ...
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  2. $BJ?6QCM$N?dDj(B : 4.2 $B@a(B (P58)

  3. $BJ?6QCM$N8!Dj(B : 5.2 $B@a(B (P72)

    1. $B%W%m%0%i%`(B : les0901.sas
       /* Lesson 9-01 */
       /*    File Name = les0901.sas   11/26/08   */
      
      data gakusei;
        infile 'all08be.prn'
          firstobs=2;
        input sex $ shintyou taijyuu kyoui 
              jitaku $ kodukai carryer $ tsuuwa;
      
      diff180 =shintyou-180.0;                     : 180.0 $B$H$N:9$r?7$7$$JQNL$H$7$F(B
      diff170 =shintyou-170.0;                     : 170.0 $B$H$N:9$r(B
      diff169 =shintyou-169.0;                     : 169.0 $B$H$N:9$r(B
      diff168 =shintyou-168.0;                     : 168.0 $B$H$N:9$r(B
      diff1678=shintyou-167.8;                     : 167.8 $B$H$N:9$r(B
      
      proc print data=gakusei(obs=5);
      run;
      
      proc univariate data=gakusei plot;
        var shintyou diff180 diff170 diff169 diff168 diff1678;
      run;
      
    2. $B=PNO7k2L(B : les0901.lst
                                    SAS $B%7%9%F%`(B                             1
                                               21:18 Monday, November 24, 2008
               S                                                         D
               H    T        K      C            D     D     D     D     I
               I    A    J   O      A       T    I     I     I     I     F
               N    I  K I   D      R       S    F     F     F     F     F
               T    J  Y T   U      R       U    F     F     F     F     1
        O  S   Y    Y  O A   K      Y       U    1     1     1     1     6
        B  E   O    U  U K   A      E       W    8     7     6     6     7
        S  X   U    U  I U   I      R       A    0     0     9     8     8
      
         1 F 145.0 38  . J 10000             . -35.0 -25.0 -24.0 -23.0 -22.8
         2 F 146.7 41 85 J 10000 Vodafone 6000 -33.3 -23.3 -22.3 -21.3 -21.1
         3 F 148.0 42  . J 50000             . -32.0 -22.0 -21.0 -20.0 -19.8
         4 F 148.0 43 80 J 50000 DoCoMo   4000 -32.0 -22.0 -21.0 -20.0 -19.8
         5 F 148.9  .  . J 60000             . -31.1 -21.1 -20.1 -19.1 -18.9
      
                                    SAS $B%7%9%F%`(B                             2
                                               21:18 Monday, November 24, 2008
                                Univariate Procedure
      Variable=SHINTYOU
                                      Moments
      
                      N               389  Sum Wgts        389
                      Mean       167.9093  Sum         65316.7
                      Std Dev    8.267388  Variance   68.34971
                      Skewness    -0.2778  Kurtosis   -0.41402
                      USS        10993798  CSS        26519.69
                      CV         4.923724  Std Mean   0.419173
                      T:Mean=0   400.5725  Pr>|T|       0.0001
                      Num ^= 0        389  Num > 0         389
                      M(Sign)       194.5  Pr>=|M|      0.0001
                      Sgn Rank    37927.5  Pr>=|S|      0.0001
      
                                    SAS $B%7%9%F%`(B                             6
                                               21:18 Monday, November 24, 2008
                                Univariate Procedure
      Variable=SHINTYOU
                           Histogram                    #             Boxplot
         187.5+**                                       5                |   
              .********                                23                |   
              .*******************                     57                |   
              .************************************   106             +-----+
         167.5+*************************               73             *--+--*
              .********************                    58             +-----+
              .***************                         43                |   
              .******                                  18                |   
         147.5+**                                       6                |   
               ----+----+----+----+----+----+----+-              
               * may represent up to 3 counts                    
      
                                    SAS $B%7%9%F%`(B                             7
                                               21:18 Monday, November 24, 2008
                                Univariate Procedure
      Variable=SHINTYOU
                                   Normal Probability Plot              
               187.5+                                              ++***
                    |                                        *******    
                    |                                 *******           
                    |                         *********                 
               167.5+                    ******++                       
                    |                *****+                             
                    |          *******                                  
                    |    *******                                        
               147.5+*+**                                               
                     +----+----+----+----+----+----+----+----+----+----+
                         -2        -1         0        +1        +2     
      
                                    SAS $B%7%9%F%`(B                             8
                                               21:18 Monday, November 24, 2008
                                Univariate Procedure
      Variable=DIFF180
                                      Moments
      
                      N               389  Sum Wgts        389
                      Mean       -12.0907  Sum         -4703.3
                      Std Dev    8.267388  Variance   68.34971
                      Skewness    -0.2778  Kurtosis   -0.41402
                      USS        83386.09  CSS        26519.69
                      CV         -68.3778  Std Mean   0.419173
                      T:Mean=0   -28.8443  Pr>|T|       0.0001
                      Num ^= 0        378  Num > 0          17
                      M(Sign)        -172  Pr>=|M|      0.0001
                      Sgn Rank     -35154  Pr>=|S|      0.0001
      
                                    SAS $B%7%9%F%`(B                            14
                                               21:18 Monday, November 24, 2008
                                Univariate Procedure
      Variable=DIFF170
                                      Moments
      
                      N               389  Sum Wgts        389
                      Mean       -2.09075  Sum          -813.3
                      Std Dev    8.267388  Variance   68.34971
                      Skewness    -0.2778  Kurtosis   -0.41402
                      USS        28220.09  CSS        26519.69
                      CV         -395.428  Std Mean   0.419173
                      T:Mean=0   -4.98778  Pr>|T|       0.0001
                      Num ^= 0        363  Num > 0         165
                      M(Sign)       -16.5  Pr>=|M|      0.0929
                      Sgn Rank      -8527  Pr>=|S|      0.0001
      
                                    SAS $B%7%9%F%`(B                            20
                                               21:18 Monday, November 24, 2008
                                Univariate Procedure
      Variable=DIFF169
                                      Moments
      
                      N               389  Sum Wgts        389
                      Mean       -1.09075  Sum          -424.3
                      Std Dev    8.267388  Variance   68.34971
                      Skewness    -0.2778  Kurtosis   -0.41402
                      USS        26982.49  CSS        26519.69
                      CV         -757.958  Std Mean   0.419173
                      T:Mean=0   -2.60214  Pr>|T|       0.0096
                      Num ^= 0        382  Num > 0         193
                      M(Sign)           2  Pr>=|M|      0.8780
                      Sgn Rank    -4063.5  Pr>=|S|      0.0596
      
                                    SAS $B%7%9%F%`(B                            26
                                               21:18 Monday, November 24, 2008
                                Univariate Procedure
      Variable=DIFF168
                                      Moments
      
                      N               389  Sum Wgts        389
                      Mean       -0.09075  Sum           -35.3
                      Std Dev    8.267388  Variance   68.34971
                      Skewness    -0.2778  Kurtosis   -0.41402
                      USS        26522.89  CSS        26519.69
                      CV         -9110.52  Std Mean   0.419173
                      T:Mean=0   -0.21649  Pr>|T|       0.8287
                      Num ^= 0        371  Num > 0         204
                      M(Sign)        18.5  Pr>=|M|      0.0615
                      Sgn Rank      461.5  Pr>=|S|      0.8236
      
                                    SAS $B%7%9%F%`(B                            32
                                               21:18 Monday, November 24, 2008
                                Univariate Procedure
      Variable=DIFF1678
                                      Moments
      
                      N               389  Sum Wgts        389
                      Mean       0.109254  Sum            42.5
                      Std Dev    8.267388  Variance   68.34971
                      Skewness    -0.2778  Kurtosis   -0.41402
                      USS        26524.33  CSS        26519.69
                      CV         7567.092  Std Mean   0.419173
                      T:Mean=0   0.260643  Pr>|T|       0.7945
                      Num ^= 0        389  Num > 0         222
                      M(Sign)        27.5  Pr>=|M|      0.0061
                      Sgn Rank       1873  Pr>=|S|      0.3993
      
    3. $B7k2L$N8+J}(B :
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          $BJ,I[$,@55,J,I[$+$I$&$+$r3N$+$a$k(B
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      • $B:9$,%<%m$H8@$($k$+$N8!Dj(B $B!a(B $B;XDj$7$?CM$H8@$($k$+(B
        • T:Mean=0 : $BJ?6Q(B=0 ($B5"L52>@b(B)$B$N8!Dj$N$?$a$N(B t $BE}7WNL(B
        • Pr>=|T| : t $BE}7WNL$NN>B&M-0U3NN((B
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          • $B:9$NJ,I[$,@55,J,I[$r$7$F$$$k$+$r3NG'$9$k$K$O(B : Normal Probability Plot

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        • Pr>=|M| : $BJl=8CD$NCf1{CM(B($B%a%G%#%"%s(B)$B$,%<%m$G$"$k$H$$$&2>@b$N2<$G!"$=$NId9gE}7WNL$h$j$bBg$-$$@dBPCM$,F@$i$l$k3NN((B
        • Sgn Rank : $BJ?6Q(B=0 ($B5"L52>@b(B)$B$N8!Dj$N$?$a$NId9gIU$-=g0LOB8!DjE}7WNL(B
        • Pr>=|S| : $BId9gIU$-=g0LOB8!DjE}7WNL$N$?$a$N6a;wE*M-0U3NN((B

    4. $B2r
    5. $B?HD9$NJ,I[$O@55,J,I[$HH=CG$7$FNI$$$+(B?
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    6. $B?HD9$NJ?6QCM$,(B180.0cm $B$H8@$($k3NN($O(B 0.01% $B!a(B $B8@$($J$$(B
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    8. $BH=CG4p=`(B($B8!Dj4p=`(B)
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  4. $B%0%k!<%WJ,$1(B : $BD4::BP>]$N@-

  5. [$B$*$^$1(B] $BC1JQNL!"FsJQNL$r;k3PE*$KB*$($k$H(B? by Mathematica
    1. 1 dim. Normal Distribution [$B<0(B(a)] 1$B 2 dim. Normal Distribution [$B<0(B(b)] 2$B 2 dim. Normal Distribution [$B<0(B(c)] 2$B 2 dim. Normal Distribution [$B<0(B(d)] 2$B 2 dim. Normal Distribution [$B<0(B(e)] 2$B
    [DIR]$B9V5A$N%[!<%`%Z!<%8(B$B$XLa$j$^$9(B