Correlation Between Education And Poverty

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Register to read the introduction… We can see that 47% of the total sample have no High School Diploma, and within this percentage, 39% of those who have no High School Diploma are living below poverty. In addition, 79% live below poverty and have only attained a Diploma or GED, while less than 3% of those who live below poverty have attained an Associate Degree or higher. Given that the majority of women in the sample are low income single mothers and less than 3% have attained an Associate Degree or higher regardless of their poverty level, the high numbers falling below poverty and low education have led me to think that there is a relationship between poverty and …show more content…
The Chi-square above calculates a degree of Freedom of 3 for the contingency table above which is associated with a critical table value of 7.82. Since the statistical value of 18.8886 is greater than the tabled value of 7.82, we can say that the data is statistically significant to reject the null hypothesis. In addition, the Chi-square test produced a P-value of 0.0003 which is smaller than the alpha level of significance of 0.05, which further shows that our data is significant and to reject the null hypothesis. Therefore, the Chi-square test above proves that there is enough statistically significant evidence to demonstrate that a relationship exists between levels of education and poverty …show more content…
The coefficient of determination is .0375 (r-sq) which means that approximately 3% of the variation of total pregnancies can be explained by the women's age at first birth. Since our P-value of .0001 is smaller than alpha level of 0.05, this means that there is enough evidence to reject the null hypothesis that it is statistically significant. In addition, our degrees of freedom of 891 gives us a tabled value of .062 which is smaller than the critical absolute value of -0.1939 and therefore signifies that it is statistically significant to reject the null hypothesis that there is a relationship between total pregnancies and age at first birth.

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