Data interpretation is an important exercise that comes after the data is analyzed. It helps to draw conclusions from the data itself. In the data interpretation process, it is possible to tell whether the hypothesis has been accepted or not. It is also possible to know how the sampling or data collection methods affected the results that have been collected. Data interpretation also helps to provide the answer to the research question. This is because the data collected is integrated with the hypothesis in order to find an answer to the initial research question. It is also learnt that data interpretation helps to discuss the summaries and data presentation methods in order to know whether they were appropriate for the type of data collected. Predictions regarding the elements of uncertainty that result from the data collection exercise and data presented can then be discussed and analyzed to acknowledge the role that variation plays in hypothesis testing. The inferential analysis was conducted in order to help draw conclusions about the results of the small data collection exercise. The statistical tests that have been used which are the ANOVA and t-test also show the relationships that exist between the variables. Data interpretation is also an essential step towards making evidence-based predictions for future related research questions.

Reaching research conclusions

Chicago is a famously polarized city in terms of racial and class tensions, thus focusing on community needs generates an important sense of unity between members of the police force and specific community members. It has been praised for its effective implementation of POP. It recently began a much-heralded initiative to bring POP to its public school system. Killings occur with alarming regularity in the city's public schools. There were 67 deaths during the first half of 2007 -2008 academic year alone, the year that POP was instituted to combat the problem within the school system. "If this doesn't sound bad enough, the 67 doesn't include the hundreds of students who were shot or beaten but managed to survive" (Waldek 2009). To implement POP, the Chicago police first surveyed the assessed patterns of school violence and causation possibilities. Over 500 students who suffered school violence were studied. "The students at the highest risk of violence, by statistics, are most likely to be black, male, without a stable living environment, in special education, skipping an average of 42% of school days at neighborhood and alternative schools, and having a record of in-school behavioral flare-ups that is about eight times higher than the average student" (Waldek 2009). Violent outbursts also tended to occur within a relatively narrow window of opportunity, either two hours before or after school and