The p-value for a two-sided hypothesis test of the null hypothesis Họ: H = 12 is 0.07. Which of the following confidence intervals would include the value 12? 1. 90% Confidence Interval 2. 95% Confidence Interval 3. 99% Confidence Interval Impossible to Determine 1 only Ob. 2 and 3 Oc. 1 and 2 Od. 1, 2, and 3 Oe.

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**Understanding Confidence Intervals and Hypothesis Testing**

**Question:**  
The p-value for a two-sided hypothesis test of the null hypothesis \( H_0: \mu = 12 \) is 0.07. Which of the following confidence intervals would include the value 12?

1. 90% Confidence Interval
2. 95% Confidence Interval
3. 99% Confidence Interval

**Options:**

a. Impossible to Determine  
b. **1 only**  
c. 2 and 3  
d. 1 and 2  
e. 1, 2, and 3  

The correct answer, in this case, is option b, which indicates that **only the 90% confidence interval** would include the value 12 given the p-value of 0.07.

**Explanation of Concepts:**

- **Null Hypothesis (\( H_0 \))**: A statement that there is no effect or no difference, and it is the hypothesis that a test seeks to disprove.
- **p-value**: The probability of obtaining test results at least as extreme as the observed during the test, assuming that the null hypothesis is correct. Lower p-values indicate stronger evidence against the null hypothesis.
- **Confidence Interval (CI)**: A range of values that is likely to contain the population parameter with a certain level of confidence (e.g., 90%, 95%, 99%).

**Detailed Steps in Interpretation:**

1. **Significance Level (\( \alpha \))**: 
   - For a **90% CI**, \( \alpha = 0.10 \) (or 10%). 
   - For a **95% CI**, \( \alpha = 0.05 \) (or 5%).
   - For a **99% CI**, \( \alpha = 0.01 \) (or 1%).

2. **Comparing p-value with \( \alpha \)**:
   - p-value (0.07) compared to \( \alpha = 0.10 \) for 90% CI:
     - Since 0.07 < 0.10, we do not reject \( H_0 \) at 90% confidence level, meaning 12 is included in the 90% CI.
   - p-value (0.07) compared to \( \alpha = 0.05 \) for 95% CI:
     -
Transcribed Image Text:**Understanding Confidence Intervals and Hypothesis Testing** **Question:** The p-value for a two-sided hypothesis test of the null hypothesis \( H_0: \mu = 12 \) is 0.07. Which of the following confidence intervals would include the value 12? 1. 90% Confidence Interval 2. 95% Confidence Interval 3. 99% Confidence Interval **Options:** a. Impossible to Determine b. **1 only** c. 2 and 3 d. 1 and 2 e. 1, 2, and 3 The correct answer, in this case, is option b, which indicates that **only the 90% confidence interval** would include the value 12 given the p-value of 0.07. **Explanation of Concepts:** - **Null Hypothesis (\( H_0 \))**: A statement that there is no effect or no difference, and it is the hypothesis that a test seeks to disprove. - **p-value**: The probability of obtaining test results at least as extreme as the observed during the test, assuming that the null hypothesis is correct. Lower p-values indicate stronger evidence against the null hypothesis. - **Confidence Interval (CI)**: A range of values that is likely to contain the population parameter with a certain level of confidence (e.g., 90%, 95%, 99%). **Detailed Steps in Interpretation:** 1. **Significance Level (\( \alpha \))**: - For a **90% CI**, \( \alpha = 0.10 \) (or 10%). - For a **95% CI**, \( \alpha = 0.05 \) (or 5%). - For a **99% CI**, \( \alpha = 0.01 \) (or 1%). 2. **Comparing p-value with \( \alpha \)**: - p-value (0.07) compared to \( \alpha = 0.10 \) for 90% CI: - Since 0.07 < 0.10, we do not reject \( H_0 \) at 90% confidence level, meaning 12 is included in the 90% CI. - p-value (0.07) compared to \( \alpha = 0.05 \) for 95% CI: -
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