Politics Of Japan

Hypothesis 1: Married individuals are more likely to support the death penalty than individuals who were never married.

From the evidence this appears to be true. The data shows that 73.2% of married individuals support the death penalty while only 59.2% of those who were never married support the death penalty. However, when looking at other groups of single individuals such as those who have been widowed, divorcees, or separated respondents, the results are different. These groups have 70.1%, 70.1%, and 77.8% support for the death penalty respectively. The percentage of the first two are very close to the percentage of support for married individuals, while separated individuals have even more support for the death penalty than those who are currently married. In conclusion, it appears from the evidence that currently married individuals are more likely to support the death penalty than individuals who were never married.

Hypothesis 2: Individuals without children are more likely to support capital punishment than other groups.

From the data, this hypothesis appears to be false. While 66.4% of respondents without children favor the death penalty, 74.8% of respondents with 2 children support the death penalty. However, other groups within this category have less support for capital punishment than individuals without children. Therefore the evidence appears to be inconclusive.

Hypothesis 3: Individuals working full time are less likely to oppose the death penalty than all other groups.

From the data, this appears to be true. 27% of respondents in this category (working full time) opposed the death penalty. In contrast, 40% of individuals working part time opposed the death penalty as did 32.1% of individuals temporarily not working, 30% of laid off individuals, 30.7% of retirees, and 46.3% in school. However, looking at the data it is also evident that the percentage of respondents in this category who opposed the death penalty is similar to the percentage of those who are either temporarily not working, have been laid off, or are retired. The only groups with significantly different percentages are those working part time and students. I would survey a larger sample to obtain