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

The Fundamentals of Statistics - Assignment ExampleAddition every(prenominal)y, in order to provide a cle arer illustration of the selective information, 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 thickset understanding of the target in dramatis personaeation. 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 variable s all of which were related to criminal justice. This is an outlook into two of the variables studied namely types of offenses and satisfaction of the inmates with regard to incarceration services.It is undisputable that different offenses have different frequencies of situation 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 th us difficult to obtain measures that