A magazine provided results from a poll of 1000 adults who were asked to identify their favorite pie Among the 1000 respondents, \( 11 \% \) chose chocolate pie, and the margin of error was given as \( \pm 4 \) percentage points. What values do \( \hat{p}, \hat{q}, n, E \), and p represent? If the confidence level is \( 90 \% \), what is the value of \( \alpha \) ? The value of \( \hat{p} \) is the sample proportion. The value of \( \hat{q} \) is found from evaluating \( 1-\hat{p} \) The value of \( n \) is the sample size. The value of \( E \) is the margin of error. The value of \( p \) is the population proportion If the confidence level is \( 90 \% \), what is the value of \( \alpha \) ? \( \alpha=\square \) (Type an integer or a decimal. Do not round.)
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The value of \( \hat{p} \) represents the sample proportion, which in this case is \( 0.11 \) (or \( 11\% \)). The value of \( \hat{q} \) is calculated as \( 1 - \hat{p} \), giving us \( \hat{q} = 1 - 0.11 = 0.89 \). The sample size \( n \) is \( 1000 \). The margin of error \( E \) is \( 0.04 \) (or \( 4\% \)). The population proportion \( p \) is estimated using \( \hat{p} \), which is \( 0.11 \). Now, let's talk about \( \alpha \)! For a confidence level of \( 90\% \), \( \alpha \) is computed as follows: \( \alpha = 1 - \text{confidence level} = 1 - 0.90 = 0.10 \). So, \( \alpha = 0.10 \).
