Thursday, February 27, 2020

Constant struggle between environmental laws and economic growth in Essay - 1

Constant struggle between environmental laws and economic growth in correlation with 'the american dream' - Essay Example While the truth is that the opportunity exists, that group still only represents 1% of all Americans. Thus, the power of the dream is such that the public will support policies that diminish services to the majority to protect the potential success that all feel that they may someday enjoy. Some of the way sin which this type of thinking is engaged in the cultural structures that support this type of thinking is through policies that fail to protect the environment because lawmakers and the public have bought into the myth that to over regulate industry is to create economic hardships that are too hard to navigate and will ultimately destroy industry. This type of thinking is based upon a fear-based campaign that is intended to threaten the ‘dream’, thus tying the hands of scientists and more enlightened politicians when they approach solutions for the real problems that have been created through hazards that are the result of industrial destructive forces that strip the environment of vital resources. However, suggesting that change will ruin the future of industry is tantamount to telling Ford not to invent the combustion engine because it would destroy the horse and buggy industry. Time and technologies change, and in growing any industry, including the environmental solutions industry, the American dream can find a way to exploit it for resources in jobs, economic support, and in creating a future for the planet. One of the most important resources is based upon a continued future which is only provided for through industries who are implementing sustainable practices. Through sociological and political theories, man has the ability to change the world. Social Ecology provides for a world where man and technology join to promote the perpetuation of the planetary eco-systems and the ways in which resources are sustained. With an attitude that leads

Tuesday, February 11, 2020

Biostatistics Essay Example | Topics and Well Written Essays - 1000 words

Biostatistics - Essay Example 2012, p. 772). Here, the P value is greater than 0.05, and yet the authors say that the differences were not significant. However, the statement means that the evidence presented in the case was not strong enough to consider that the means were different. i. Number of pregnancies is discrete or discontinuous variable. This is because for the subjects to be included in the study they had to be pregnant. Pregnancy takes a distinct value because one is either pregnant or not. ii. Clinical attachment loss (CAL) measured in [whole] millimetres (mm) is a continuous variable because it is a mean of the distances from the cento enamel junction and the center of the pocket. The distances can take on any numerical values hence are continuous variable. a) Mean of maternal age of women with preeclampsia in the sample is a true reflection of the population. This is because the sample mean age and standard deviation are equal to the population mean age and standard deviation. This shows that the population is normally distributed and is in line with some of the assumptions that are prerequisites for accurate statistics (Lomax 2007). b) The most likely maternal age of a woman with preeclampsia drawn at random is 28.5 years. This is because in a normal distribution, the mean, mode, and the median are the same value (Lomax 2007). If the mean of the population is 28.5 years, it implies that the mode and median are also 28.5 years. Therefore, there are high chances that a woman drawn at random from the population is 28.5 years, which is the mode of the population. c) It is expected that 95% of the population lie between the age of 19.5 and 37.5 years. The empirical rule states that in a normal distribution, almost all values lie within 3 standard deviations of the mean (Grafarend 2006). About 68% lie within one standard deviation, 95% within two standard deviations, and 99% within three standard deviations. It follows that 95% of the population lie