Concept explainers
Jury trial outcomes. Sometimes, the outcome of a jury trial defies the “common sense” expectations of the general public (e.g., the 1995 O. J. Simpson verdict and the 2011 Casey Anthony verdict). Such a verdict is more acceptable if we understand that the jury trial of an accused murderer is analogous to the statistical hypothesis-testing process. The null hypothesis in a jury trial is that the accused is innocent. (The status-quo hypothesis in the U.S. system of justice is innocence, which is assumed to be true until proven beyond a reasonable doubt.) The alternative hypothesis is guilt, which is accepted only when sufficient evidence exists to establish its truth. If the vote of the jury is unanimous in favor of guilt, the null hypothesis of innocence is rejected, and the court concludes that the accused murderer is guilty. Any vote other than a unanimous one for guilt results in a “not guilty” verdict. The court never accepts the null hypothesis: that is, the court never declares the accused “innocent.” A “not guilty” verdict (as in the Casey Anthony case) implies that the court could not find the defendant guilty beyond a reasonable doubt.
- a. Define Type I and Type II errors in a murder trial.
- b. Which of the two errors is the more serious? Explain.
- c. The court does not, in general, know the values of α and β; but ideally, both should be small. One of these
probabilities is assumed to be smaller than the other in a jury trial. Which one, and why? - d. The court system relies on the belief that the value of α is made very small by requiring a unanimous vote before guilt is concluded. Explain why this is so.
- e. For a jury prejudiced against a guilty verdict as the trial begins, will the value of α increase or decrease? Explain.
- f. For a jury prejudiced against a guilty verdict as the trial begins, will the value of β increase or decrease? Explain.
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Statistics for Business and Economics (13th Edition)
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