Bottled water vs. tap water Essay Example | Topics and Well Written Essays - 750 words

Bottled water vs. tap water - Essay Example No longer a luxury item, the beverage has become a common sight worldwide.† (Owen, 2006). However, the author, Ann Pietrangelo of the text, Bottled Water vs. Tap Water: Which is really safer? raises question on how clean and hygienic is the bottled water, when compared to the tap water and gives the answer that the bottled water is not at all better than the tap water, and in some cases could be even inferior to the tap water. The text written was by Ann Pietrangelo in July 2009 and was featured under the section, Healthy reform policy in the website Care2.com, which mainly focuses on environmental and health issues. While ‘googling’ about the topic, Bottled Water vs. Tap Water, this website or webpage came as the second web entry or result, and appeared as the apt text for this topic and paper. In the initial part of the text itself, the author starts to spell out the argument that bottled water does not any safe qualities, and it is same or even inferior to the tap water. By using data from another website, FoodandWaterWatch.org, the author argues that with tap water being regulated by the Environmental Protection Agency and state and local governments, and bottled water being regulated by the Food and Drug Administration, there are clear evidences to show that bottled water is not effectively tested and so it is not better than the tap water. Author Pietrangelo first points out the basic point, which is 40 percent of bottled water originates only from the tap, with some minerals added and some extra filtration done. She provides this fact to send the message to the readers that bottled water is just another version of the tap water, without any major differences, quality wise. Then she provides some more facts, to justify that tap water is more clean and hygienic than th e bottled water, as the tap water has to conform various rules and tests under different conditions and standards. She states that tap water is not permitted to contain E. coli

Statistics Project Example | Topics and Well Written Essays - 1000 words

Statistics Project Example Therefore, financial status and depression are critical factors in determining well-being of individual hence appropriate measures to the report. The frequency histogram shows an almost normally distributed curve. However, the explicit results show a negatively skewed distribution. The frequency for males is more than that of the female gender. This shows that more males suffer from post-traumatic stress disorder as compared to male. The number of people that experience from post-traumatic disorder-from the sample-are 230. Out of the 230, 130 are males while 100 are females as per the histogram. The distribution of subjective class identification closely matches the normal curve. This shows that 68% of the observations fall within one standard deviation of the mean 2.39. On the other hand, 99.7% of the observations fall within 3 standard deviation of the mean. The normal Q-Q plots also confirms the normal distribution of the subjective class identification. The confidence interval for Posttraumatic Stress Disorder is 12.35 and 14.73 for lower bound and upper bound respectively. This means that we are 95% confident that the true mean of Posttraumatic Stress Disorder is between 12.35 and 14.74. The corresponding ÃŽ ±=0.05. When testing for normality, the normality table and the normal Q-Q plots become important as the numerical and graphical methods respectively. The normality table represents the result for Shapiro-Wilk Test and the Kolmogorov-Smirnov Test. In this case, we will use Shapiro-Wilk Test because the data is less than 2000. The sig. value (0.000) of the Shapiro-Wilk Test is less than 0.05 hence the data is not normally distributed. The data significantly deviate from a normal distribution. We have also used the Q-Q plot to determine normality graphically. The data points stray from the line in a non-linear fashion hence the data is not normally distributed. To correct the distribution of age of the respondents, I have