If n = 140 and p (p-hat) = 0.7, construct a 90% confidence interval. %3D %3D Give your answers to three decimals

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### Question 10

If \( n = 140 \) and \(\hat{p} \) (p-hat) = 0.7, construct a 90% confidence interval. 

Give your answers to three decimals.

\[ \_\_\_ < p < \_\_\_ \]

**Question Help:** [Video]

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---

This prompt is asking you to calculate a 90% confidence interval for a proportion based on the given sample size (\( n = 140 \)) and the sample proportion (\(\hat{p} = 0.7\)). You need to provide the lower and upper bounds of the confidence interval, rounded to three decimal places, and input them in the provided text boxes.

### Explanation:
- \( \hat{p} \) represents the sample proportion.
- The confidence interval gives a range that likely contains the true population proportion.
- A 90% confidence interval reflects that if the same population was sampled repeatedly, 90% of the intervals would contain the true proportion.

To calculate the confidence interval:
1. Find the standard error (SE) using the formula \( SE = \sqrt{\frac{\hat{p}(1-\hat{p})}{n}} \).
2. Determine the Z-score for a 90% confidence level (typically 1.645).
3. Calculate the margin of error (ME) using \( ME = Z \times SE \).
4. The confidence interval is \(\hat{p} - ME < p < \hat{p} + ME\).

Make sure to check the video linked for additional guidance if needed.
Transcribed Image Text:### Question 10 If \( n = 140 \) and \(\hat{p} \) (p-hat) = 0.7, construct a 90% confidence interval. Give your answers to three decimals. \[ \_\_\_ < p < \_\_\_ \] **Question Help:** [Video] **Submit Question** --- This prompt is asking you to calculate a 90% confidence interval for a proportion based on the given sample size (\( n = 140 \)) and the sample proportion (\(\hat{p} = 0.7\)). You need to provide the lower and upper bounds of the confidence interval, rounded to three decimal places, and input them in the provided text boxes. ### Explanation: - \( \hat{p} \) represents the sample proportion. - The confidence interval gives a range that likely contains the true population proportion. - A 90% confidence interval reflects that if the same population was sampled repeatedly, 90% of the intervals would contain the true proportion. To calculate the confidence interval: 1. Find the standard error (SE) using the formula \( SE = \sqrt{\frac{\hat{p}(1-\hat{p})}{n}} \). 2. Determine the Z-score for a 90% confidence level (typically 1.645). 3. Calculate the margin of error (ME) using \( ME = Z \times SE \). 4. The confidence interval is \(\hat{p} - ME < p < \hat{p} + ME\). Make sure to check the video linked for additional guidance if needed.
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