Analyzing the Justice System with Statistics

Errors of the Justice System
In the Judiciary Branch of the American legal system there are two verdicts that are chosen from in a court case: guilty or not guilty. To find the possible errors and ways of reducing errors in the verdict of a court case people use statistics. Using the statistical method to solve the problems of making Type I and Type II errors in the U.S. justice system can help innocent people live freely and take the guilty, crime-ridden people off the streets.
When a cop arrests someone, he is rejecting the null hypothesis of the person being innocent. The null hypothesis in statistics is the presumption that was made in an event and to counteract that there is the alternative hypothesis. The alternative hypothesis is why a cop will arrest someone. It is the idea that a trait or happening needs to examined and looked over in any situation. Within the investigation of the attempt   to reject the null hypothesis they must have beyond the reasonable doubt or standard of judgement. This means that they must find enough evidence to prove that the person wasn’t arrested for no reason or by chance and that he was in the wrong place and the wrong time. It’s interesting that in the judiciary system of the U.S. it takes just one proficient piece of evidence to reject the hypothesis yet it takes an “endless amount” to prove it right. This is why instead of saying that someone is innocent or that the null is correct we say that they are “not guilty” or we reject the alternative hypothesis.
The two types of errors to be made within the executive ( meaning the arresting officer) or judiciary branches (the tribunal) are type I and type II errors. Type I is the horrible mistake to be made of sending an innocent person to jail possibly through misidentification from a witness or a wrong assumption made by the jury. Type II is when the guilty person is set free from the factor of not enough evidence, misleading evidence, or the factor of the type I error. It...