Advantages And Disadvantages Of Uniform Crime Report

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The Uniform Crime Reports (UCR) are official data on crime in the United States that are published by the Federal Bureau of Investigation (Biderman, A. D. & Reiss, A. J,1967). The UCR reports all types of crimes such as rape, robbery both with and without violence, manslaughter etc. The reports also gives details on the number of arrests and characteristics of the person arrested such as colour, age, race etc. One of the major disadvantages of UCR is that its participation is voluntary and some law enforcements agencies fail to supply data making it difficult for the report to have conclusive and reliable data. The data only reports crimes recorded by the police. Many crime victims do not report their experience to law enforcers for …show more content…

We begin by stating the hypothesis. In stating the null hypothesis we state a value of the population that we consider to be true which is known as the null hypothesis. In hypothesis testing the presumption is that the claim we are testing is true. The decision is made by determining whether the assumption is true. The reason for testing the null hypothesis is because we think it could be wrong. We state what we believe is wrong about the null hypothesis in an alternate hypothesis (Ning- Zhong Shi, Jian Tao,2008) The alternative hypothesis contradicts the null hypothesis by stating that the real value of a population parameter is less than, greater than or unequal to the value stated in the null hypothesis. We then set the criteria for the decision, by stating the level of significance. This refers to the criteria upon which judgment is made. If the null hypothesis falls within the accepted level of significance then we accept the null hypothesis and reject the alternate. The third step is computing the test statistic that enables the researcher to determine the probability of obtaining sample outcomes if the null hypothesis is true. The test static is used to make the decision regarding the null hypothesis. The last step is making the decision. The value of the statistic guides on making the decision about the null hypothesis. Null hypothesis is accepted if the sample mean has a high probability of occurring when the null hypothesis is true. If the sample mean has a low probability of occurring when the null hypothesis is true, we reject the null

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