Fictitious Statistical Study



Fictitious Statistical Study

Introduction

Crimes have always been the major concern for the US society. Many studies have been done on crimes to gather information of different factors that are responsible for the increase in the crimes. People always appreciates a society without crimes but it should be considered that there are some major factors which affects the society and have immense relationships with increasing rate of crimes in the society. In this study, a data set of 50 states of US has been gathered and almost 8 different crime factors have been noticed and their data is also available. The factors which we think are responsible for increasing crimes are PINCOME (Per capita income of each state), DROPOUT (High school droop out rate %), PRECIP (Average participation in inches in the major city in each state), PUBAID (Percentage of public aid recipients), DENSITY (Population total miles), KIDS (Public aid for families with children), UNEMPLOY (Percentage of unemployed workers), URBAN (Percentage of the residents living in the urban areas). The Numeric data for crime is taken as property crimes per hundred thousand inhabitants in US (property crimes include burglary, larceny, theft and motor vehicle thefts).

The factors above are considered as having major contribution in increasing crimes, so a statistical study will be applied on the crime rate to find out whether the factors/variables which we have taken are certainly related or not. Further, some statistical tools will also be used to gather complete information about the study organized. It is hoped that this study is going to give some fruitful results in future to control the crime rate in US.

Data Analysis for Increasing Crimes

The data for this assignment has been retrieved from a variety of US official sources, including the 1988 uniform crime reports, federal bureau of investigation, the office of research and statistics, Us department of education etc. In fact all the departments from where the data is retrieved are all responsible departments and their source of information can never be denied. The linear regression model of this case can be modeled as

Following, the analysis is being done on the given data:

Analysis of Descriptive statistics and correlations

The results shows the mean and standard deviations of the crimes and other depending factors with a total size of 50 samples. The standard deviations of the above variables are appropriate according to the given data with no outliers. Below the correlation of coefficients has been calculated and concluding how much of each every variable is dependent on the other. For e.g. PINCME (per capita income) is .279 i.e. is explaining 27.9% of the increasing crime rate. Similarly, all the variables are somewhat correlated to one another. The level of significance shows that the resulting coefficients are significant or not, for e.g. significance level PINCME (per capita income) is .025 showing that this variable can be rejected at even 2.5% (Sherri L. Jackson, 2011).

Analyzing the coefficients (…)

The significance level that we have are assuming is ...