Consider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 6103 patients treated with this drug, 151 developed the adverse reaction of nausea. Use a 0.05 significance level to test the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction? Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho: p=0.03 H:p<0.03 O B. Họ: p#0.03 H:p=0.03 O C. Ho: p=0.03 H:p>0.03 D. Họ: p=0.03 H:p+0.03 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is -2.43. (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is. (Round to three decimal places as needed.)
Consider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 6103 patients treated with this drug, 151 developed the adverse reaction of nausea. Use a 0.05 significance level to test the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction? Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho: p=0.03 H:p<0.03 O B. Họ: p#0.03 H:p=0.03 O C. Ho: p=0.03 H:p>0.03 D. Họ: p=0.03 H:p+0.03 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is -2.43. (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is. (Round to three decimal places as needed.)
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![**Hypothesis Testing for Adverse Reaction of Drug Used to Prevent Blood Clots**
In the context of a clinical trial to determine the adverse effects of a drug used to prevent blood clots, consider the following scenario: Among 6103 patients treated with this drug, 151 developed the adverse reaction of nausea. Using a significance level of 0.05, we aim to test the claim that 3% of users develop nausea. Here is the step-by-step process for conducting this hypothesis test:
**1. Identify the Null and Alternative Hypotheses:**
To test whether nausea is a problematic adverse reaction, we establish the null (\(H_0\)) and alternative hypotheses (\(H_1\)).
Select the correct hypothesis:
\(H_0: p = 0.03\) \
\(H_1: p \neq 0.03\) (Correct Answer)
**2. Calculate the Test Statistic:**
The test statistic for this hypothesis test is given as:
\[ z = -2.43 \]
(The value is rounded to two decimal places as needed.)
**3. Determine the P-value:**
To understand the significance of the test statistic, we calculate the P-value.
\[ \text{P-value} = \]
(The P-value needs to be rounded to three decimal places as needed.)
By comparing the P-value to the significance level (0.05), we can make a decision regarding the null hypothesis. If the P-value is less than 0.05, we reject the null hypothesis, indicating that the proportion of patients experiencing nausea significantly differs from 3%.
This step-by-step guide should assist you in testing the hypothesis and determining the adverse effects of the drug concerning nausea among patients.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa6eeb107-3976-477c-976e-1778ebbdfd8b%2Fa3f08810-4609-4c6f-a095-dd49e5962257%2Fgd6l4qp_processed.png&w=3840&q=75)
Transcribed Image Text:**Hypothesis Testing for Adverse Reaction of Drug Used to Prevent Blood Clots**
In the context of a clinical trial to determine the adverse effects of a drug used to prevent blood clots, consider the following scenario: Among 6103 patients treated with this drug, 151 developed the adverse reaction of nausea. Using a significance level of 0.05, we aim to test the claim that 3% of users develop nausea. Here is the step-by-step process for conducting this hypothesis test:
**1. Identify the Null and Alternative Hypotheses:**
To test whether nausea is a problematic adverse reaction, we establish the null (\(H_0\)) and alternative hypotheses (\(H_1\)).
Select the correct hypothesis:
\(H_0: p = 0.03\) \
\(H_1: p \neq 0.03\) (Correct Answer)
**2. Calculate the Test Statistic:**
The test statistic for this hypothesis test is given as:
\[ z = -2.43 \]
(The value is rounded to two decimal places as needed.)
**3. Determine the P-value:**
To understand the significance of the test statistic, we calculate the P-value.
\[ \text{P-value} = \]
(The P-value needs to be rounded to three decimal places as needed.)
By comparing the P-value to the significance level (0.05), we can make a decision regarding the null hypothesis. If the P-value is less than 0.05, we reject the null hypothesis, indicating that the proportion of patients experiencing nausea significantly differs from 3%.
This step-by-step guide should assist you in testing the hypothesis and determining the adverse effects of the drug concerning nausea among patients.
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