SMARTS  by  GENDER

                    SMARTS       
            Count  |
                   |
                   |                    Row
                   |    MATH|    ENG | Total
GENDER     --------+--------+--------+
             MALE  |     45 |     5  |    50
                   |    90% |   10%  |  
                   |        |        |  
                   +--------+--------+
          FEMALE   |     5  |    45  |    50
                   |    10% |   90%  |  
                   |        |        |  
                   +--------+--------+
            Column      50       50       100
             Total             

      Chi-Square                  Value           DF               Significance
--------------------          -----------        ----              ------------

Pearson                         13.39394           1                  .00024
Continuity Correction           13.04826           1                  .00612
Likelihood Ratio                13.39285           1                  .00080





t-tests for Independent Samples of GENDER


                             Number
 Variable                   of Cases       Mean          SD   SE of Mean
 -----------------------------------------------------------------------
 MATH

 MALE                         50         95.0000      10.683       8.676
 FEMALE                       50         88.3750      17.542       9.386
 -----------------------------------------------------------------------




       t-test for Equality of Means                                      95%
 Variances   t-value       df    2-Tail Sig     SE of Diff        CI for Diff
 -----------------------------------------------------------------------------
 Equal         12.12       98         .001         54.971    (-229.830, 2.920)
 Unequal       12.39    97.54         .001         48.719   (-216.945, 15.805)
 -----------------------------------------------------------------------------



t-tests for Independent Samples of GENDER


                             Number
 Variable                   of Cases       Mean          SD   SE of Mean
 -----------------------------------------------------------------------
 ENG

 FEMALE                       50         95.0000      10.683       8.676
 MALE                         50         88.3750      17.542       9.386
 -----------------------------------------------------------------------




       t-test for Equality of Means                                      95%
 Variances   t-value       df    2-Tail Sig     SE of Diff        CI for Diff
 -----------------------------------------------------------------------------
 Equal         12.12       98         .001         54.971    (-229.830, 2.920)
 Unequal       12.39    97.54         .001         48.719   (-216.945, 15.805)
 -----------------------------------------------------------------------------





             * * *  A N A L Y S I S   O F   V A R I A N C E  * * *
 
                  IQ
             by   SMARTS
                  GENDER
-                                   Sum of                 Mean             Sig
 Source of Variation               Squares     DF        Square       F    of F
0Main Effects                       40.247      2         5.124     8.057  .021
 SMARTS                             15.605      1         3.605     5.151  .045
 GENDER                              5.381      1         1.381     3.211  .076
02-Way Interactions                   .049      1          .049      .029  .864
   SMARTS GENDER                      .049      1          .049      .029  .864
0Explained                          10.296      3         3.432     2.048  .112
0Residual                          177.667     98         1.676
0Total                             187.964     99         1.724
-300 cases were processed.
 190 cases (63.3 pct) were missing.

Results

Effect of Gender on Intelligence:
Individual scores were calculated for each level of the variable "SMARTS" (Math/English) and "GENDER" (Male/Female). Chi-square analysis reveals a significant effect of gender on intelligence [χ2(1)=13.4; p=.00024]. Males were significantly more likely to obtain higher scores on Math tasks (90% vs 10%), while females were significantly more likely to obtain higher scores in English tasks (10% vs 90%).

T-test for independent groups revealed a significant effect of gender on Math [t(98)=12.12; p=.001]; males scored significantly higher on math tasks (mean=95 versus 88) than females. T-test for independent groups revealed a significant effect of gender on English [t(98)=12.12; p<.001]; females scored significantly higher on English tasks (mean=95 versus 88) than males.

Analysis of variance revealed a significant effect of SMARTS and GENDER on IQ [F(2,98)=8.06; p=.02], explained by a main effect of SMARTS on IQ [F(1,98)=3.51; p=.045}, with no signifincant interaction noted.