Organizational Problem Assignment Example | Topics and Well Written Essays - 750 words

Organizational Problem - Assignment Example Introduction With an ever-growing population in just about every part of the United States, there is also a growing problem with criminal acts, particularly where offenders are arrested and a case comes to trial. How to review any case that comes in is important in that all the information is in a database (MIS) and properly coded for easier review to all concerned, particularly the judge. Keeping it all together between the court systems is the job of the court administrator. 1. As the new court administrator through the County Human Resource Division, a consolidation must first be made of schedules, list of personnel connected to those five court systems, and whatever current operations conducted in those systems must filter in to a main database which the court administrator handles (Allen & Sawhney 2009). This will also include the County Clerks Office and the District Attorney’s Office as well. A first examination can be made to determine what the judges of the courts spe cialize in so that most of the cases that fit the judge’s expertise will be assigned to that court. ... The District Attorney’s office must also be in on the meetings in order to make any comments or suggestions about the restructuring of case distribution (BJA 2008). At the same time, other members of the Justice system, involved in administration, should also be involved to discuss current issues with the court system as it stands. Every time a case is logged into the computer system which tags into the main database at the administrator’s office, the case is reviewed first and tagged for either a court trial or a preliminary meeting by lawyers with the judge first to see whether it is a prosecutable case. If it is not, but it does require some type of action by the judge, then it can be done right away with a judge’s signed order. However, all sides of the judicial parties must be in full agreement as to the outcome and solution, such as a remediation to a community program (BJA 2008; Dempsey & Forst 2013). Other cases, based on evidence, are definitely lined up for a courtroom appearance, such as in drug trafficking and violent crimes. All judges must agree to this procedure and how cases are viewed when first logged in, must be handled consistently across the board with approved criteria applied on each case as it comes in. This requires the system of coding the level of crime or nuisance implied by the arresting officer (BJA 2008). Additionally, lawyers involved with the defendants, must also be logged into the system, particularly to note if there are any conflicts between cases to be tried at the same time in different courts (BJA 2008; Peak 2012). As a last step, weekly or bi-weekly meetings, initially, can be held with all the judges and court personnel in order to iron out any issues which arise and need

Understanding Statistics Essay Example | Topics and Well Written Essays - 1500 words

Understanding Statistics - Essay Example Understanding Statistics The ordinal scales provide no evident variation amongst the variables. This scale only evaluates the order of the values. The ordinal scales measure the concepts that are not numeric such as fulfillment, jovialness and discomfort among others. In any analysis, an individual can elucidate that number four is better than number three though the extent is not clear again, it is not easy to determine the variation between ok and happy. The interval scales encompass numeric scales that besides providing the order, they also provide the accurate differences between the variables in question. A standard example is the Celsius temperature such as the disparity between 30 and 40 degrees is 10 degrees. Time can also provide precise variations where the disparity between six and four minutes is two minutes. Ratio scales are essential in statistical evaluations to its flexibility for alterations seeking accuracy. The ratio scale can be multiplied, added, divided or subtracted and the central ten dency measures estimated. A discrete variable involves well determined set of predetermined set of probable values-states. The variables include the provision that is either â€Å"true† or †false†, the team that will win and the number of dime in a pouch amongst others. Nonetheless, the variables might appear to be discrete at one point and continuous at a different perspective. The continuous variable opts to take on a position between two extreme positions or values. Continuous variables encompass the indoor temperature, direction travelled or the water used. The discrete variable tends to depict a digital quantity whilst the continuous variable tends to be analog in quantity. According to the explanations provided on the above scales, the different statistical research studies can select any of the according to suitability for application. The continuous and the discrete variables have significance on the selection of the research methodologies to use since the experimental method would be appropriate with discrete data whilst the researches dealing with conventional aspects might find it appropriate to employ continuous variables in the research activity. The area under the normal distribution is proportional to the overall area. The total area covered in the normal curve is equivalent to one. The curves never attain the situation Y = 0 but move to the positive infinity and the negative infinity. The shape assumed by the normal curve is infinite and depends on the mean and the standard deviation. The z-score is a critical tool in data evaluation and is used to determine the extent to which a point x is high or below the population mean ?. It is the providence of the T-statistic with predetermined mean and the standard deviation. In case of interference with the degree of freedom to an extent of assuming population mean and the standard deviation from the availed sample, then it fails to be T-statistic. The percentile rank of a normally d istributed population can be estimated readily through the use of z- scores. In the e vent that the area under a curve is apportioned above and below the mean, the partitions obtained are the similar to the probability picking a value in the similar range. For instance, the area between the standard deviation above and below t