Express the confidence interval (0.069,0.161) in the form of p-E

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### Expressing the Confidence Interval

To express the confidence interval \((0.069, 0.161)\) in the form of \(\hat{p} - E < p < \hat{p} + E\), follow the steps below:

1. **Identify the midpoint (or point estimate \(\hat{p}\)):**
   - The midpoint \(\hat{p}\) is the average of the two endpoints of the interval:
   \[
   \hat{p} = \frac{0.069 + 0.161}{2}
   \]
   
2. **Calculate \(\hat{p}\):**
   \[
   \hat{p} = \frac{0.069 + 0.161}{2} = \frac{0.23}{2} = 0.115
   \]

3. **Determine the margin of error (\(E\)):**
   - The margin of error \(E\) is the distance from the midpoint \(\hat{p}\) to either endpoint:
   \[
   E = \hat{p} - 0.069 = 0.115 - 0.069 = 0.046
   \]
   
   - Alternatively:
   \[
   E = 0.161 - \hat{p} = 0.161 - 0.115 = 0.046
   \]

Thus, the confidence interval \((0.069, 0.161)\) can be expressed in the form \(\hat{p} - E < p < \hat{p} + E\) as:

\(\boxed{0.069 < p < 0.161}\) 

In conclusion, we have:
\[
0.069 < p < 0.161
\]
(Type integers or decimals.)

This completes the transcribed explanation for expressing the given confidence interval in the required mathematical form.
Transcribed Image Text:### Expressing the Confidence Interval To express the confidence interval \((0.069, 0.161)\) in the form of \(\hat{p} - E < p < \hat{p} + E\), follow the steps below: 1. **Identify the midpoint (or point estimate \(\hat{p}\)):** - The midpoint \(\hat{p}\) is the average of the two endpoints of the interval: \[ \hat{p} = \frac{0.069 + 0.161}{2} \] 2. **Calculate \(\hat{p}\):** \[ \hat{p} = \frac{0.069 + 0.161}{2} = \frac{0.23}{2} = 0.115 \] 3. **Determine the margin of error (\(E\)):** - The margin of error \(E\) is the distance from the midpoint \(\hat{p}\) to either endpoint: \[ E = \hat{p} - 0.069 = 0.115 - 0.069 = 0.046 \] - Alternatively: \[ E = 0.161 - \hat{p} = 0.161 - 0.115 = 0.046 \] Thus, the confidence interval \((0.069, 0.161)\) can be expressed in the form \(\hat{p} - E < p < \hat{p} + E\) as: \(\boxed{0.069 < p < 0.161}\) In conclusion, we have: \[ 0.069 < p < 0.161 \] (Type integers or decimals.) This completes the transcribed explanation for expressing the given confidence interval in the required mathematical form.
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