667 Words3 Pages

4.1 SEX-Dose sex differ will have influence on student’s score?
From the histogram graphs above, we can confirm that mean in four subjects are trend to normally distributed. To test whether the mean for reading, writing, math and science is the same for males and females, an independent samples t-test tool is suitable because it can compare the means of a normally distributed interval dependent variable for two independent groups.
H0: Females have no significant difference and high mean score than males in reading score
H1: Females have significant difference and high mean score than males in reading score
Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig.*…show more content…*

The results indicate that there is no statistically significant difference between the mean writing score for males and females (t =0.748, p =0.501) and the mean score of females (51.7) are lower than males (52.8) The null hypothesis is*…show more content…*

The results indicate that there is no statistically significant difference between the mean writing score for males and females (t = 0.413, p = 0.432). The null hypothesis is accepted. H0: Females have no significant difference and high score than males in science score H1: Females have significant difference and high score than males in science score Independent Samples Test 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 science score Equal variances assumed 3.609 .059 1.812 198 .071 2.53352 1.39790 -.22316 5.29021 Equal variances not assumed 1.785 176.555 .076 2.53352 1.41958 -.26800 5.33505 Due to the standard deviations for the two groups are similar (10.7 and 9.0), we will use the "equal variances assumed" test. The results indicate that there is no statistically significant difference between the mean writing score for males and females (t = 1.812, p =0.059). The null hypothesis is accepted. In summary, different sex may have influence on student’s score in high school particular in writing

The results indicate that there is no statistically significant difference between the mean writing score for males and females (t =0.748, p =0.501) and the mean score of females (51.7) are lower than males (52.8) The null hypothesis is

The results indicate that there is no statistically significant difference between the mean writing score for males and females (t = 0.413, p = 0.432). The null hypothesis is accepted. H0: Females have no significant difference and high score than males in science score H1: Females have significant difference and high score than males in science score Independent Samples Test 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 science score Equal variances assumed 3.609 .059 1.812 198 .071 2.53352 1.39790 -.22316 5.29021 Equal variances not assumed 1.785 176.555 .076 2.53352 1.41958 -.26800 5.33505 Due to the standard deviations for the two groups are similar (10.7 and 9.0), we will use the "equal variances assumed" test. The results indicate that there is no statistically significant difference between the mean writing score for males and females (t = 1.812, p =0.059). The null hypothesis is accepted. In summary, different sex may have influence on student’s score in high school particular in writing

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