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 [χ^{2}(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.