Jury Selection (Example 6) Juries should have the same racial distribution as the surrounding communities. According to the U.S. Census, about 18 % of residents in Minneapolis, Minnesota, are African American. Suppose a local court randomly selects 100 adult citizens of Minneapolis to participate in the jury pool. Use the Central Limit Theorem (and the Empirical Rule ) to find the approximate probability that the proportion of available African American jurors is more than two standard errors from the population value of 0.18. The conditions for using the Central Limit Theorem are satisfied because the sample is random; the population is more than 10 times 1000; n times p is 18, and n times (1 minus p ) is 82, and both are more than 10.
Jury Selection (Example 6) Juries should have the same racial distribution as the surrounding communities. According to the U.S. Census, about 18 % of residents in Minneapolis, Minnesota, are African American. Suppose a local court randomly selects 100 adult citizens of Minneapolis to participate in the jury pool. Use the Central Limit Theorem (and the Empirical Rule ) to find the approximate probability that the proportion of available African American jurors is more than two standard errors from the population value of 0.18. The conditions for using the Central Limit Theorem are satisfied because the sample is random; the population is more than 10 times 1000; n times p is 18, and n times (1 minus p ) is 82, and both are more than 10.
Solution Summary: The author analyzes the probability that the proportion of available African American jurors is more than two standard errors from the population value of 0.18.
Jury Selection (Example 6) Juries should have the same racial distribution as the surrounding communities. According to the U.S. Census, about
18
%
of residents in Minneapolis, Minnesota, are African American. Suppose a local court randomly selects 100 adult citizens of Minneapolis to participate in the jury pool.
Use the Central Limit Theorem (and the Empirical Rule) to find the approximate probability that the proportion of available African American jurors is more than two standard errors from the population value of 0.18.
The conditions for using the Central Limit Theorem are satisfied because the sample is random; the population is more than 10 times 1000; n times p is 18, and n times (1 minus p) is 82, and both are more than 10.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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