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Table 11: Levene apos;s Test - equal variances
in PRIOR PROGRAMMING EXPERIENCE AND THE INFLUENCE IT HAS ON STUDENTS' PERFORMANCE IN AN INTRODUCTORY
"... In PAGE 6: ...able 10: Test for Normality - Prior Programming Experience............................... 79 Table11 : Levene apos;s Test - equal variances.... In PAGE 89: ....3.4.2 Equality of Variance Testing To test for the equality of variance, an assumption of ANOVA, Levene apos;s test was conducted. The results of the test (see Table11 below) were not significant (p-value 0.... ..."
Table 1: Student population by location and gender
"... In PAGE 3: ... However, as this paper is based in part on the action research project linked to this unit, the data presented is limited to the 85 students who agreed to participate in that project. Table1 provides details of the gender distribution for the unit across all campuses. Although there is significant cross campus variation, the overall gender mix for our students undertaking in- formation systems (information technology) is not inconsistent with that of the 23.... ..."
Table 2 Characteristics of entrepreneurs (%) Gender (%) Age at
"... In PAGE 7: ... The second part of questionnaire was designed to identify characteristics of Korean entrepreneurs and Korean entrepreneurship. Table2 shows the prevalence of males in venture businesses (93.4%) and confirms the cultural heritage of male dominance in Korean business society.... ..."
Table 1: Gender determination using various models.
2003
"... In PAGE 8: ... The variable selection is also part of the leave-one-out process. The number of correct classification is presented in Table1 . Finally 8 human observers are asked to classify the silhouettes.... In PAGE 8: ...Table 1: Gender determination using various models. From Table1 , it is seen that MDL gives significantly better models of the gender than manual marks, and it outperforms by far the direct human observers. It was found important to include the chin of the faces to obtain this good performance (approximately as much as in Figure 2) - as men have larger chins.... ..."
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Table 11 Transition Probabilities By Gender 1992 to 1993
1997
"... In PAGE 20: ... With respect to gender, although the levels are generally close, a few patterns do emerge. Beginning with Table11 , which identifies movements from 1992 to 1993, women are more likely to move out of the labor force from every state except private employment. This may be due in part to these women not being the primary earner for their families.... ..."
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