A magazine provided results from a poll of 1000 adults who were asked to identify their favorite pie. Among the 1000 respondents, 12% chose chocolate pie, and the margin of error was given as ± 3 percentage points. What values do p, q, n, E, and p represent? If the confidence level is 90%, what is the value of a? The value of p is the population proportion. The value of q is the margin of error. The value ofn is The value of E is the population proportion. The value of p is the sample size. found from evaluating 1-p. the sample proportion.

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**Title: Understanding Statistical Terms from a Poll on Favorite Pie**

A magazine conducted a poll involving 1000 adults to identify their favorite pie. Out of the 1000 respondents, 12% chose chocolate pie. Additionally, the margin of error was provided as ± 3 percentage points. This example serves to explain various statistical terms used to interpret the poll results. Let's explore the values of \(\hat{p}\), \(\hat{q}\), \(n\), \(E\), and \(p\), and understand their significance. Furthermore, we will determine the value of \(\alpha\) for a 90% confidence level.

### Definitions and Values:

1. **\(\hat{p}\) (Sample Proportion):**
   - \(\hat{p}\) is the proportion of the sample that chose chocolate pie.
   - Given in the poll: \(\hat{p} = 0.12\) or 12%.

2. **\(\hat{q}\) (Complement of Sample Proportion):**
   - \(\hat{q}\) represents the proportion of the sample that did not choose chocolate pie.
   - Calculated as \(1 - \hat{p}\): 
     \[\hat{q} = 1 - 0.12 = 0.88\]

3. **\(n\) (Sample Size):**
   - The number of respondents surveyed.
   - Given in the poll: \(n = 1000\).

4. **\(E\) (Margin of Error):**
   - The margin of error, representing the range within which the true population proportion is expected to lie.
   - Given in the poll: \(E = 3\%\) or \(0.03\).
  
5. **\(p\) (Population Proportion):**
   - The true proportion of the population that prefers chocolate pie, which can be estimated using \(\hat{p}\).

### Confidence Level and Alpha (\(\alpha\)):

- **Confidence Level:** The degree of certainty that the population proportion lies within the margin of error. 
- For a 90% confidence level, \(\alpha = 1 - \text{confidence level}\):
  \[\alpha = 1 - 0.90 = 0.10\]

Based on this information, the values are:
- \(\hat{p} = 0.12\
Transcribed Image Text:**Title: Understanding Statistical Terms from a Poll on Favorite Pie** A magazine conducted a poll involving 1000 adults to identify their favorite pie. Out of the 1000 respondents, 12% chose chocolate pie. Additionally, the margin of error was provided as ± 3 percentage points. This example serves to explain various statistical terms used to interpret the poll results. Let's explore the values of \(\hat{p}\), \(\hat{q}\), \(n\), \(E\), and \(p\), and understand their significance. Furthermore, we will determine the value of \(\alpha\) for a 90% confidence level. ### Definitions and Values: 1. **\(\hat{p}\) (Sample Proportion):** - \(\hat{p}\) is the proportion of the sample that chose chocolate pie. - Given in the poll: \(\hat{p} = 0.12\) or 12%. 2. **\(\hat{q}\) (Complement of Sample Proportion):** - \(\hat{q}\) represents the proportion of the sample that did not choose chocolate pie. - Calculated as \(1 - \hat{p}\): \[\hat{q} = 1 - 0.12 = 0.88\] 3. **\(n\) (Sample Size):** - The number of respondents surveyed. - Given in the poll: \(n = 1000\). 4. **\(E\) (Margin of Error):** - The margin of error, representing the range within which the true population proportion is expected to lie. - Given in the poll: \(E = 3\%\) or \(0.03\). 5. **\(p\) (Population Proportion):** - The true proportion of the population that prefers chocolate pie, which can be estimated using \(\hat{p}\). ### Confidence Level and Alpha (\(\alpha\)): - **Confidence Level:** The degree of certainty that the population proportion lies within the margin of error. - For a 90% confidence level, \(\alpha = 1 - \text{confidence level}\): \[\alpha = 1 - 0.90 = 0.10\] Based on this information, the values are: - \(\hat{p} = 0.12\
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