Thursday, February 13, 2020

Rowe v. New Hampshire Motor Transport Association Essay

Rowe v. New Hampshire Motor Transport Association - Essay Example The case is also about the appropriateness of Maine’s Tobacco Delivery Law. The Tobacco Delivery Law puts safety requirements on all transportation of tobacco products. The law requires that stores which carry these products must use a delivery system that does not give any tobacco products to unlicensed stores or let them fall into the hands of minors (those under 18 years old). Based on this law, The New Hampshire Motor Transport Association filed suit, noting that the Tobacco Delivery Law was counteracted by the Federal Aviation Administration Authorization Act of 1994 (FAAAA). â€Å"The preemption provision of the FAAAA prohibits state from enacting laws "related to" the prices, routes, or services of air and motor carriers. The Association argued that the Tobacco Delivery Law placed such a burden on the delivery procedures of carriers that significantly affected their prices and services† (Brief, 2010). Faced with this argument, those working for the state countered that the FAAAA was originally at cross purposes with the Tobacco Delivery Law, a nd that the purposes of the Tobacco Delivery Law generally were focused on regulating based on a threat to the harm of society. In US District Court, the New Hampshire Motor Transport Association prevailed in its argument, and on appeal, this organization also prevailed in its argument again. â€Å"The First Circuit held that a police power exception to the general rule of preemption would be far too broad and was not intended by Congress. Maine could validly ban all unlicensed tobacco products within its borders, but the FAAAA prohibited the state from implementing this goal by imposing requirements on carriers that significantly alter their delivery procedures† (Rowe, 2010). Therefore, in the case, it was found that the Federal Aviation Administration Authorization Act of 1994 does not overshadow a state law that uses the

Saturday, February 1, 2020

The Fundamentals of Statistics Assignment Example | Topics and Well Written Essays - 2000 words

The Fundamentals of Statistics - Assignment Example Additionally, in order to provide a clearer illustration of the data, use of graphs and pie charts is paramount. There are many things that are not explicitly understandable and usually require uncovering. Therefore, it is important for the interested parties to come up with ways of developing an adequately deep understanding of the target information. In most cases, the information being sought is usually of significant importance. The information could be explanatory or even form basis for evaluation of problems at hand. This is the reason why people embark on research since it enables them to capture data upon which to validate their views or obtain explanations (Goddard & Melville, 2001). A study conducted on a sample of inmates revealed a number of things based on the views of the inmates on the criminal justice system. The study encompassed qualitative and quantitative variables all of which were related to criminal justice. This is an outlook into two of the variables studied namely â€Å"types of offenses† and satisfaction of the inmates with regard to â€Å"incarceration servi ces†. It is undisputable that different offenses have different frequencies of occurrence thus the need to look into the specific offenses for which the inmates were in. Figure 1 is a representation of the findings of the study with regard to the types of offense for which the inmates were jailed. There were 7 inmates jailed for homicide and 9 in each of robbery and burglary categories. The information is illustrated in a pie chart to clearly depict the proportion of inmates assigned to each of the categories of offenses. The use of pie enhances visibility of the relationship existing between the variables under study. The type of offense is a qualitative variable and some of the measures of central tendency and variability cannot be obtained. Qualitative data is categorical and non-numerical thus difficult to obtain measures that