In Support of the Distracted Driving Bill Essay Example | Topics and Well Written Essays - 750 words

In Support of the Distracted Driving Bill - Essay Example The concern of others like Mr. Sauer have been heard. But our state congress has decided that it is not important an issue enough for them to pay attention to. But there are some, like state Sens. John McGee and Les Bock who sponsor the â€Å"Distracted Driving â€Å" bill . We need to protect our motorists from the misuse of the very technology was that created to help save lives before it claims any more lives in the future. Although the bill has widespread public support, it died because of politicking or, in the words of Conservative activist Wayne Hoffman who considered it a â€Å"â€Å"stupid law† that was difficult to enforce because no one can tell if a driver is texting or just twiddling his thumbs. â€Å" (Russel, 2010). The time has come however, to revive this bill and pass it in the state senate. Consider that cellular phones now come with hands free kits for cars and you begin to wonder why a driver would rather type out words while driving when he can always speed dial a number. The National Safety council statistics on texting while driving show that at â€Å"least 200,000 crashes a year are caused by drivers who are texting. â€Å" (Graham, 2011). These accidents are usually caused because texting drivers have proven to have a slower response time than drunk drivers. Texting while driving accidents also come at a financial cost to the driver. In these days of economic problems, the last thing one would want to see is an increase in his insurance premiums, which is exactly what happens each time a driver is involved in a distracted driving incident. further information from car insurance comparison.com (2011) explains that the economic impact is quite high and that , â€Å"avoiding accidents is the only way to keep rates manageable as even one accident boosts your premium by about 10%, subsequent accidents quickly mount to 30, 50 and then eventually almost doubling your costs by your third accident. â€Å" Then there are also the legal implications of the accident. Although there are only fines involved for such accidents, the guilty party will now have a police record and have to show up in court even if only to pay the fine and face the possibility of other punishments or legal actions that may be enforced within criminal or civil courts for any damage to property, or physical being that may have been incurred. The American culture of risk taking is definitely at the forefront of the distracted driving problem. Looked at in the historical context, texting while driving accidents comprise 21 % of adult driving accidents while 46% of teens admit to the same. (car insurance comparison.com, 2011). Even the leaders of the transportation sector see the need for specialized anti- texting while driving laws quoting the fact that â€Å"sixty Idaho fatalities resulted from distracted driving crashes in 2009, representing 27 percent of all crashes. â€Å" (2011). It is easy to see how such accidents can have a cost ly toll on the finances of a person. After all, distracted driving affects 3 driving components: visual, manual and cognitive. (Harmer, 2011). The Idaho Press Tribune (2011) states that those who do not support the bill do so because our police officers can issue tickets for violation of reckless driving due to â€Å"circumstances where the conduct of the operator has been inattentive, careless or imprudent.†

Dental statistics Essay Example | Topics and Well Written Essays - 1000 words - 1

Dental statistics - Essay Example In other words, the given mean is calculated from the whole population and the other one is from a sample. Yes, increase in sample size will affect the mean value and it will produce a different result from the result which is calculated from sample size of 30 20-year-old dental students. In fact more accurate results can be obtained by increasing the sample size because more cases are under consideration by increasing sample size. Changes in sample size produce different result because frequencies corresponding to different values of variable (missing teeth) change by changing the sample size. For example if we consider a sample of 35 20-year-old dental students and their frequency distribution is given as; So, it is clear from the above example, if we change the sample size the value of mean also changes. The mean value of sample of 35 is more accurate than the mean value of sample size of 30. Similarly, the standard deviation of later is also less which means that the value of variable in the data of large size is cluster near the sample mean. A survey was conducted to determine the number of decayed, missing and filled teeth of 20 year old dental students in a particularly country. It was not possible to check out all the 20 year old dental students of a country therefore, a group of 30 students of age 20 years was taken from the population and observed. It was observed that the student took number of missing teeth from 0 to 12. The mean value calculated from the observed values is 5.967; it means that most of the students in the sample have 6 decayed, missing and filled teeth. With the help of mean and frequencies standard deviation has also been calculated which gives an idea of dispersion of number of missing teeth from 6. The standard deviation is 3.05 which reflect that there is less dispersion in the data. In other words, that number of missing teeth of students in the sample size of 30 has