In a study of 787 randomly selected medical malpractice lawsuits, it was found that 482 of them were dropped or dismissed. Test the claim that most medical malpractice lawsuits are dropped or dismissed. 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. Ho: p=0.5 Ha: p>0.5 OC. Ho: p=0.5 Ha: p=0.5 O E. Ho: p=0.5 Ha: p<0.5 What is the test statistic? Z= ... Round to two decimal places as needed.) OB. Ho: p<0.5 Ha: p=0.5 D. Ho: p>0.5 Ha: p=0.5 OF. Ho: p *0.5 Ha: p=0.5
In a study of 787 randomly selected medical malpractice lawsuits, it was found that 482 of them were dropped or dismissed. Test the claim that most medical malpractice lawsuits are dropped or dismissed. 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. Ho: p=0.5 Ha: p>0.5 OC. Ho: p=0.5 Ha: p=0.5 O E. Ho: p=0.5 Ha: p<0.5 What is the test statistic? Z= ... Round to two decimal places as needed.) OB. Ho: p<0.5 Ha: p=0.5 D. Ho: p>0.5 Ha: p=0.5 OF. Ho: p *0.5 Ha: p=0.5
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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**Hypothesis Testing in Medical Malpractice Lawsuits: An Example**
In a study of 787 randomly selected medical malpractice lawsuits, it was found that 482 of them were dropped or dismissed. Test the claim that most medical malpractice lawsuits are dropped or dismissed. 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.** \( H_0: p = 0.5 \)
\( H_a: p > 0.5 \) ✔️
- **B.** \( H_0: p < 0.5 \)
\( H_a: p = 0.5 \)
- **C.** \( H_0: p = 0.5 \)
\( H_a: p \neq 0.5 \)
- **D.** \( H_0: p > 0.5 \)
\( H_a: p = 0.5 \)
- **E.** \( H_0: p = 0.5 \)
\( H_a: p < 0.5 \)
- **F.** \( H_0: p \neq 0.5 \)
\( H_a: p = 0.5 \)
---
**What is the test statistic?**
\( z = \underline{\quad\quad} \)
(Round to two decimal places as needed.)
**Explanation:**
In this task, you are testing whether the proportion of medical malpractice lawsuits that are dropped or dismissed is significantly greater than 0.5. The null hypothesis (\( H_0 \)) posits that the proportion is equal to 0.5, while the alternative hypothesis (\( H_a \)) suggests it is greater than 0.5.
To conduct this test, calculate the test statistic \( z \) using the formula for proportions, and compare it to a critical value or use it to find the P-value for final conclusions about the claim."
Transcribed Image Text:**Educational Website Transcription**
**Hypothesis Testing in Medical Malpractice Lawsuits: An Example**
In a study of 787 randomly selected medical malpractice lawsuits, it was found that 482 of them were dropped or dismissed. Test the claim that most medical malpractice lawsuits are dropped or dismissed. 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.** \( H_0: p = 0.5 \)
\( H_a: p > 0.5 \) ✔️
- **B.** \( H_0: p < 0.5 \)
\( H_a: p = 0.5 \)
- **C.** \( H_0: p = 0.5 \)
\( H_a: p \neq 0.5 \)
- **D.** \( H_0: p > 0.5 \)
\( H_a: p = 0.5 \)
- **E.** \( H_0: p = 0.5 \)
\( H_a: p < 0.5 \)
- **F.** \( H_0: p \neq 0.5 \)
\( H_a: p = 0.5 \)
---
**What is the test statistic?**
\( z = \underline{\quad\quad} \)
(Round to two decimal places as needed.)
**Explanation:**
In this task, you are testing whether the proportion of medical malpractice lawsuits that are dropped or dismissed is significantly greater than 0.5. The null hypothesis (\( H_0 \)) posits that the proportion is equal to 0.5, while the alternative hypothesis (\( H_a \)) suggests it is greater than 0.5.
To conduct this test, calculate the test statistic \( z \) using the formula for proportions, and compare it to a critical value or use it to find the P-value for final conclusions about the claim.
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