An Effect of Unemployment to rape Essay Example | Topics and Well Written Essays - 1500 words

An Effect of Unemployment to bumble - Essay ExampleAlternative Hypothesis thither is a statistically pregnant family between the steps of rape and unemployment Research Design and essay The aim of this study is to test for a significant relationship between the rate of rape and rate of unemployment. To do this rape and unemployment information from each of the 50 states will be analyzed for the year 2010. info Collection The independent variable for this study was the unemployment rate. This is a percentage value calculated from the division of the turn of events of discharged citizenry by the labor intensity. Someone is considered to be unemployed if they are to a higher place 16 years of age who had no employment during the period solely was available and desired to work. In strain an individual is employed if they are over 16 and worked for at least one hour during the name period. In general the reference period is one week. The labor pull up is the total number of people considered to be unemployed or employed, For this study statistics on the unemployment and employment levels for each of the 50 states were analyzed for the 2010 period. education was gathered from the Business First database (available at http//www.bizjournals.com/buffalo/datacenter/state-employment-2010.html). The database gave the average number of people employed and unemployed for the year 2010 this was derived from information collected by the Bureau of Labor Statistics how were the data collected? be more than specific here and as a consequence represented the mean value from 12 months of data. As a consequence, the unemployment rate could be calculated by adding the employment and unemployment levels together (to provide the labor force value) and then dividing the unemployment level by the labor force to give a percentage of the labor force which was unemployed. This value is the unemployment rate. The unemployment rate was determined independently for each of the 50 states. The dependent variable for this study was spirited rape per 100,000 population. For this, the FBI crime statistics from 2010 were used (available at http//www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2010/crime-in-the-u.s.-2010/tables/10tbl05.xls). These statistics considered many different types of crime including forcible rape in each of the states and included the number of reported incidences of rape as well as the estimated total of rape cases. The estimated total number of rapes was used for this study. Aggravated rape is defined as is the forcible sexual shrewdness of a woman as well as assault with this intent or attempted but not successful rape. Each incident of all rape or attempted rape was save as an offense within the database. Statutory rape was not included in the database and as a consequence was not part of this study. Analysis As there is no experimental manipulation of either variable, cause and effect cannot be directly tested, consequently, th e analysis needs to test for correlation. In order to do this, a statistical test for correlation needs to be undertaken. To test whether there is a significant relationship between rape and unemployment rate a Pearson Product-Moment Correlation will be conducted. This test looks for a linear relationship between two variables and can describe a positive relationship, negative relationship or absence of relationship. The Pearson correlation coefficient is known as r and is a measure of how closely the data points are to the line of best fit that is described by the Pearson Product-Moment Correlation. A value of below zilch indicates a negative correlation between the two variables (in this case rape and unemployment), a value above zero indicates a positive relationship, and a value close to zero indicates an absence of relati