Summary Essay Example | Topics and Well Written Essays - 250 words - 77

Summary - Essay Example The Gallop Poll of 2011 shows just 26% for handgun ban. The issue with the thinkers is whether gun control can stop tendencies for violence. Whereas the arguments and counterarguments continue amongst various bodies concerned with controlling gun and violence, the measure does not get the legal support. â€Å"With a 5-4 decision in the District of Columbia v. Heller case heard by the Supreme Court in 2008, the court’s new reading of the Second Amendment indicates that handguns cannot be banned even at the local level because there is an individual right to handguns in the home for self-defense.†(Ryan, n. p.) This seals the issue in favor of keeping the handguns. The other method suggested is health screening of the people and the background check from the â€Å"federally licensed dealers.†(Ryan, n.p.) This suggestion is good in theory but its implementation is not practicable. One can easily buy the â€Å"gun from a private seller.†(Ryan, n. p.) But the suggestion to ban AR-15 type assault rifles merits consideration, as these types of weapons have role for civilian purposes. Congress did ban 9 types of semi-automatic weapons in 1994 and the â€Å"ban expired in 2004 and was not renewed.†(Ryan, n.p.) Going by the General Survey there is a marked reduction in gun related crimes all over the country in the last 40 years. But the Church is deeply concerned about gun trafficking and suggests that the members of the community should exercise moral authority to educate the people about the gun culture and finally guns should have no place in a society governed on moral principles. The faith community has the responsible and c onstructive role to play in this

Data Interpretation Practicum Statistics Project

Data Interpretation Practicum - Statistics Project Example A regression procedure would further help in predicting the injury rate based on working hours. However, discriminant analysis cannot be used. The average working hours in the three states is 2183.07 hour while the average injury rate in the three states is 2.4446. The true population mean for average working hours in the three states is bound between 45575.96 and 54345.61 while true injury rate mean for average working hours in the three states is bound between 10.26 and 20.09. From this output, the correlation coefficient between hours worked and injury rate is -0.636. This implies that as work hours increases, injury rate reduces (p-value ~ 0.000). The test is significant, hence we reject the null hypothesis and conclude that the two variables are correlated. This value is consistent with the observation from a scatterplot of the two variables shown above. A possible explanation for the observation made is that only a few injuries are normally witnessed, hence, increasing the hours worked does not necessarily lead to an increase in the number of injuries. Since injury rate is obtained by dividing the number of hours worked by the number of injuries, the values reduces as hours worked increases. The value of the correlation coefficient does not imply that increasing the number of working hours results into less