prisons and death sentences imposed upon female offenders. Both of these were great tools because one article gave me the exact number of people that were facing life sentences in each state and even provided the total number of people serving life without parole. It also listed the percentage of people serving without a parole in the total of all the inmates serving the life sentences. The second article gave me the number of females that had been sentenced to death row by state as well as the race of the women that were sentenced by state. This was a great tool as I could compare the total number of women sentenced to death row with a variable like the population of each state or even the total number of women that are serving life sentences all …show more content…
I divided the borders into 4 categories. The states with the Mexican border, the states with the Canadian border, and one state with the Great Lakes as a border, lastly, the states that had no borders at all. The mean for the Canadian border had a mean of 283.800 and the states with the Mexican border had a mean of 559.600, and the states without borders had a mean of 458.676, finally the state with the Great Lakes as a border had a mean of 562. The highest mean came from the states without any borders, the contributing factors are that there are more states without a border than the states with the borders put together. The second highest mean was the Mexican Border States, the crime rates in each of those states along that border are higher. There could be many contributing factors. For example, the drug war, or gang violence that goes on in those states. The third largest mean was the states without the Canadian Border, the mean could be smaller there because there are not as many gangs, or even drugs to worry about coming from Canada. The standard deviations for those four borders, in order are 176.0112, 74.4849, 248.2776, and the Great Lakes did not have a standard deviation. For these three variables the numbers were pretty high. That meant that the variables were more spread out and there were different numbers of crime rates going on with each border. Some crime rates were