Evaluating

             A problem that I have identified is male drivers are prone to be more aggressive on the road while driving. Many insurance companies and other resources have proven that male drivers are more aggressive drivers. For example, numerous auto insurance companies automatically give a higher rate to a male driver rather than a female. Police videos have shown countless male drivers driving recklessly through stop signs, intersections, and highways, etc...
             For this particular essay I've chosen to evaluate an intersection with two stop signs and a through street. Before my evaluation I made a claim that more male drivers were probably not going to stop at the stop signs. I was fairly certain that my claim would not be proven wrong because of previous existing statistics stating male drivers as the more reckless driver on the road.
             I decided to monitor the corner of North Westend and Whitener at an approximate time between four and five o' clock. I created specific codes and procedures to prepare my data. The codes for the evaluated drivers went as followed; 1 for a complete stop, 2 for a near stop, 3 for slowing down for the sign, and a 4 for a driver who continues through the intersection at a normal speed. Here are my results:
             DRIVER'S SEX CLASS 1 CLASS 2 CLASS 3 CLASS 4
             FEMALE 10(59%) 7(54%) 4(40%) 0(0%)
             MALE 7(41%) 6(46%) 6(60%) 3(100%)
             My hypothesis stating that male drivers were less likely to stop a t a stop sign turned out to be true. The purpose for my evaluation was to help determine whether or not male drivers are more aggressive than females. Stopping at a stop sign was a good example of proving safe driving habits. My data shows that more males are less likely to stop. Therefore male drivers are the more aggressive drivers.
             For some time, there have been ongoing debates about who is the safer driver, the man or woman. This project set out to determine an answe
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