Construct a 90% confidence interval of the population proportion using the given information. x = 60, n = 300 Click here to view the table of critical values. The lower bound is The upper bound is (Round to three decimal places as needed.)

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### Confidence Level Table

This table summarizes critical values for different confidence levels commonly used in statistical analysis:

| **Level of Confidence, (1 − α) • 100%** | **Area in Each Tail, \(\frac{\alpha}{2}\)** | **Critical Value, \(z_{\frac{\alpha}{2}}\)** |
|------------------------------------------|-------------------------------------------|-----------------------------------------------|
| 90%                                      | 0.05                                      | 1.645                                         |
| 95%                                      | 0.025                                     | 1.96                                          |
| 99%                                      | 0.005                                     | 2.575                                         |

### Explanation

- **Level of Confidence:** Represents the probability that the true parameter lies within the confidence interval.
- **Area in Each Tail (\(\frac{\alpha}{2}\)):** This indicates the area in one tail of the normal distribution, reflecting the probability of observing data more extreme than the critical value.
- **Critical Value (\(z_{\frac{\alpha}{2}\)):** Used to calculate the confidence interval. It corresponds to the number of standard deviations a point is from the mean in a standard normal distribution.
Transcribed Image Text:### Confidence Level Table This table summarizes critical values for different confidence levels commonly used in statistical analysis: | **Level of Confidence, (1 − α) • 100%** | **Area in Each Tail, \(\frac{\alpha}{2}\)** | **Critical Value, \(z_{\frac{\alpha}{2}}\)** | |------------------------------------------|-------------------------------------------|-----------------------------------------------| | 90% | 0.05 | 1.645 | | 95% | 0.025 | 1.96 | | 99% | 0.005 | 2.575 | ### Explanation - **Level of Confidence:** Represents the probability that the true parameter lies within the confidence interval. - **Area in Each Tail (\(\frac{\alpha}{2}\)):** This indicates the area in one tail of the normal distribution, reflecting the probability of observing data more extreme than the critical value. - **Critical Value (\(z_{\frac{\alpha}{2}\)):** Used to calculate the confidence interval. It corresponds to the number of standard deviations a point is from the mean in a standard normal distribution.
**Construct a 90% confidence interval of the population proportion using the given information.**

- \( x = 60, n = 300 \)

\[ \text{Click here to view the table of critical values.} \]

---

**The lower bound is \[ \Box \].**

**The upper bound is \[ \Box \].**

*(Round to three decimal places as needed.)*

---

*Note: This section provides the instructions and data needed to calculate a 90% confidence interval for a population proportion. You will need to calculate and fill in the lower and upper bounds based on the given information and a table of critical values.*
Transcribed Image Text:**Construct a 90% confidence interval of the population proportion using the given information.** - \( x = 60, n = 300 \) \[ \text{Click here to view the table of critical values.} \] --- **The lower bound is \[ \Box \].** **The upper bound is \[ \Box \].** *(Round to three decimal places as needed.)* --- *Note: This section provides the instructions and data needed to calculate a 90% confidence interval for a population proportion. You will need to calculate and fill in the lower and upper bounds based on the given information and a table of critical values.*
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