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.
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.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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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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