European Journal of Scientific Research - EuroJournals
European Journal of Scientific Research - EuroJournals
European Journal of Scientific Research - EuroJournals
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Effect <strong>of</strong> Mathematical Games on Nigerian Students’ Performance in Mathematics in<br />
Secondary Schools in Port Harcourt Metropolis 260<br />
The boys in school 1 had the posttest mean score <strong>of</strong> 9.1 and standard deviation <strong>of</strong> 2.9. While<br />
the girls mean score was 10.2 and standard 2.7. The difference between the mean was 1.1 in favour <strong>of</strong><br />
girls.<br />
The boys in school 2 had a posttest mean score <strong>of</strong> 7.7.and standard deviation 2.3, while the girls<br />
mean score was 8.2and standard deviation 2. The difference between the means is 0.5 in favour <strong>of</strong> the<br />
girls. The boys in school 3 had a posttest mean score <strong>of</strong> 11.2 and standard deviation <strong>of</strong> 3.1 while the<br />
mean score for girls was 10.1 with standard deviation 3.9. The difference between the mean is 1.1 in<br />
favour <strong>of</strong> boys.<br />
Hypothesis i<br />
1. Null Hypothesis (Ho1): There is no significant difference between the student’s pretest and posttest<br />
scores in the experimental group within each school.<br />
Table 5: Non-Independent t-test analysis <strong>of</strong> the difference between students pretest and posttest scores for<br />
experimental group within each school.<br />
Variables N X<br />
sd t critical t calculated<br />
Pretest (sch. 1) 30 6.2 2.5 2.045<br />
Post test (sch.1) “ 10 2.8 7.3<br />
Pretest (sch. 2) 30 4.0 1.8<br />
Post test (sch.2) “ 8.0 2.1 “ 12.2<br />
Pretest (sch. 3) 30 7.0 3.5<br />
Post test (sch.3)<br />
p>0.05. Degree <strong>of</strong> Freedom = 29.<br />
“ 11.0 3.5 “ 6.5<br />
Decision: The data in the table above showed that there was a significant difference between the<br />
pretest and posttest scores <strong>of</strong> students in the experimental group in each <strong>of</strong> the schools. This was<br />
because the critical t-value <strong>of</strong> 2.045 is less than any <strong>of</strong> the calculated t-values <strong>of</strong> 7.3, 12.2 and 6.5<br />
respectively in each <strong>of</strong> the schools given 0.05 level <strong>of</strong> significance at 29 degree <strong>of</strong> freedom.<br />
Hypothesis ii<br />
1. Null hypothesis (Ho2): There is no significant difference between the students pretest and the<br />
posttest scores in the control group within each school?<br />
Table 6: Non-Independent t-test analysis <strong>of</strong> the difference between students pretest and posttest scores for<br />
control group within each school.<br />
Variables N X sd t critical t calculated<br />
Pretest (sch. 1) 30 5.5 2.7<br />
2.045<br />
Post test (sch.1) “ 8.0 3.8<br />
3.6<br />
Pretest (sch. 2) 30 5.0 3.0<br />
Post test (sch.2) “ 5.0 2.6 “ 2.4<br />
Pretest (sch. 3) 30 5.1 3.6<br />
Post test (sch.3)<br />
P>0.05. Degree <strong>of</strong> Freedom = 29.<br />
“ 9.7 3.0 “ 5.9<br />
The result <strong>of</strong> the data analysis as presented in the above table showed that the calculated tvalues<br />
3.6, 2.4 and 5.9 for the schools respectively were greater than the critical t-value <strong>of</strong> 2.045 at<br />
0.05 level <strong>of</strong> significance with 29 degree <strong>of</strong> freedom. This means that there is a significant difference<br />
between the pretest and post test scores in each <strong>of</strong> the schools. In school 2 however there was no<br />
increase in mean score, yet the t-value was significant.