Express the confidence interval 0.333

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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**Express the Confidence Interval**

Problem Statement:
Express the confidence interval \(0.333 < p < 0.777\) in the form \(\hat{p} \pm E\).

Expression:
\[ \hat{p} \pm E = \boxed{} \pm \boxed{} \]

---

Here, the image provides a task in mathematical statistics. The problem requires expressing the given confidence interval in a specific statistical notation used for probabilities.

To solve this, recall that the confidence interval bounds are given by:
\[ p = \hat{p} - E \quad \text{to} \quad p = \hat{p} + E, \]
where \(\hat{p}\) is the estimated proportion and \(E\) is the margin of error.

Given the interval \(0.333 < p < 0.777\):
1. The midpoint \(\hat{p}\) (the point estimate) can be calculated as:
\[ \hat{p} = \frac{0.333 + 0.777}{2} = 0.555. \]

2. The margin of error \(E\) is the distance from the midpoint to either endpoint:
\[ E = 0.777 - 0.555 = 0.222. \]

Thus, the confidence interval in the form \(\hat{p} \pm E\) is:
\[ \hat{p} \pm E = 0.555 \pm 0.222. \] 

Accordingly, the final answer should fill in the boxes provided in the image:
\[ \hat{p} \pm E = \boxed{0.555} \pm \boxed{0.222}. \]

This form clearly communicates the estimated proportion and the margin of error for educational purposes.
Transcribed Image Text:--- **Express the Confidence Interval** Problem Statement: Express the confidence interval \(0.333 < p < 0.777\) in the form \(\hat{p} \pm E\). Expression: \[ \hat{p} \pm E = \boxed{} \pm \boxed{} \] --- Here, the image provides a task in mathematical statistics. The problem requires expressing the given confidence interval in a specific statistical notation used for probabilities. To solve this, recall that the confidence interval bounds are given by: \[ p = \hat{p} - E \quad \text{to} \quad p = \hat{p} + E, \] where \(\hat{p}\) is the estimated proportion and \(E\) is the margin of error. Given the interval \(0.333 < p < 0.777\): 1. The midpoint \(\hat{p}\) (the point estimate) can be calculated as: \[ \hat{p} = \frac{0.333 + 0.777}{2} = 0.555. \] 2. The margin of error \(E\) is the distance from the midpoint to either endpoint: \[ E = 0.777 - 0.555 = 0.222. \] Thus, the confidence interval in the form \(\hat{p} \pm E\) is: \[ \hat{p} \pm E = 0.555 \pm 0.222. \] Accordingly, the final answer should fill in the boxes provided in the image: \[ \hat{p} \pm E = \boxed{0.555} \pm \boxed{0.222}. \] This form clearly communicates the estimated proportion and the margin of error for educational purposes.
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