# Extension/Questions

 Chi-SquareCalculator
The American legal system of criminal courts is predicated on the notion that an individual has the right to a trial by a jury of his peers. The Sixth Amendment to the United States Constitution states that, "In all criminal prosecutions, the accused shall enjoy the right to a speedy and public trial, by an impartial jury of the state and district wherein the crime shall have been committed." This means, inter alia, that characteristics of jury members should reflect characteristics of the general population of the judicial district.

However, in a number of cases in American legal history, there have been assertions of "jury fixing" in which the jury selection process has been tilted to obtain a jury that is overly favorable to the individual charged with the crime or overly unfavorable. Typically, such fixing occurs by selecting a jury whose characteristics are quite different from those of the population from which it is selected.

Many critics feel that the current jury selection process is unfair, producing jurors that do not represent the diversity of society. Further, they argue that jury member selection has become less random and more of an attempt by lawyers to build the "perfect jury" for their case.

Described below are two cases that ask you to draw upon the tools of the chi-square lesson in answering a set of questions.

### Example 1

In a study in Alameda County, California, researchers compared the demographic characteristics of members of grand juries to determine how closely these juries reflected the population of the county. If the juries were selected randomly or impartially, then the characteristics of the jurors should closely match those of the larger county; however, if attorneys were tilting the jury selection process, then the jurors' characteristics would be quite different from the county. (figures taken from UCLA Law Review, vol 20, 1973 - as shown at: http://www.stat.ucla.edu/cases/jury/)

 Age Country-Wide % # of Jurors 21-40 42 5 41-50 23 9 51-60 16 19 Older than 61 19 33 Total 100 62

Based on the figures shown in the table above, use the chi-square test to evaluate whether there is evidence of jury fixing in terms of the age of jurors in Alameda County.

Questions

What is the null hypothesis? What is the alternative hypothesis?

What figures do you need to calculate for this test?

How many degrees of freedom are there?

What is the value of the chi-square statistic for this table? What is the p-value of this statistic?

From this value, what can you conclude about the age of jurors in Alameda County?

### Example 2

The same study of jurors in Alameda County, California, also found the following distribution of the education level of jurors:

 Education Level Country-Wide % # of Jurors Elementary Only 28.4 1 Secondary 48.5 10 Some College 11.9 16 College Degree 11.2 35 Total 100 62

Based on the figures shown in the table above, use the chi-square test to evaluate whether there is evidence of jury fixing in terms of the education level of jurors in Alameda County.

Questions

What is the null hypothesis? What is the alternative hypothesis?

What figures do you need to calculate for this test?

How many degrees of freedom are there?

What is the value of the chi-square statistic for this table? What is the p-value of this statistic?

From this value, what can you conclude about the education level of juries in Alameda County?

### Example 3

An examination of data from the 1994 O.J. Simpson murder trial in Los Angeles, California tests the hypothesis that jury composition is not reflective of the population, or even the initial jury pool.

The 1990 Census shows that Los Angeles has the following characteristics in terms of residents' race:

 Los Angeles County, CA White 5,035,103 Black 992,974 American Indian, Eskimo, or Aleut 45,508 Asian or Pacific Islander 954,485 Other Race 1,835,094

 Race Percentage in City of Los Angeles Black 14.0% White 53.6% Hispanic 22.8% Asian 19.6%

 Race Percentage in Initial Jury Pool Number of Jurors Black 28 9 White 40 2 Hispanic 17 1 Asian 15 0

Questions

What is the null hypothesis? What is the alternative hypothesis?

What figures do you need to calculate for this test?

How many degrees of freedom are there?

What is the value of the chi-square statistic for this table? What is the p-value of this statistic?

Does the jury pool reflect a biased selection process?

Does the final jury chosen for the O.J. trial reflect a biased selection process?