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ction 8-2
Part 2 of 5
In a recent court case it was found that during a period of 11 years 896 people were selected for grand jury duty and of them were from the same ethnicity. Among the people eligible for grand jury duty, were of this ethnicity. Use a 0.01 significance level to test the claim that the selection process is biased against allowing this ethnicity to sit on the grand jury. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution.
Which of the following is the hypothesis test to be conducted?
A. B.

C.
D.

E.

F.
What is the test statistic?

(Round to two decimal places as needed.)

Ask by Gray Garrett. in the United States
Mar 21,2025

Upstudy AI Solution

Tutor-Verified Answer

Answer

Hypothesis Test:
  • Null Hypothesis ( ): The proportion of selected grand jury members from the specific ethnicity is equal to the proportion of eligible members ( ).
  • Alternative Hypothesis ( ): The proportion of selected grand jury members from the specific ethnicity is less than the proportion of eligible members ( ).
Test Statistic ( ): Approximately
Conclusion:
The test statistic is significantly less than the critical value at a 0.01 significance level, leading to the rejection of the null hypothesis. This indicates that there is strong evidence to support the claim that the selection process is biased against allowing this ethnicity to sit on the grand jury.

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Beyond the Answer

In this scenario, we want to check if the proportion of the selected ethnic group for grand jury duty (35%) is significantly lower than the proportion of that ethnic group in the general eligible population (78.9%). The null hypothesis, , suggests that there is no bias in the selection process, while the alternative hypothesis, , suggests that the selection process is biased against this ethnicity.
To calculate the test statistic, we can use the formula for the z-score in proportion tests:
Where:
  • (sample proportion)
  • (hypothesized proportion)
  • (sample size)
Substituting in the values:
Calculating that will yield the value of z. After crunching those numbers, you will round it to two decimal places to complete your answer.
Now, to know how to interpret this z-score, the next step will be to find the P-value corresponding to that z-value. You would typically look this up in a standard normal distribution table or use software to find the P-value. If this P-value is less than the significance level of 0.01, you would reject the null hypothesis, indicating that there is evidence of bias in the selection process.
Keep in mind that in this fun journey through statistics, keeping track of your values and properly executing each step allows you to uncover the hidden biases in grand jury selection! Happy calculating!

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