21.4% 4.5 % 0/

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Title: Understanding Confidence Intervals in Trilnear Inequalities

---

**Expression of Confidence Interval**

In statistical analysis, a confidence interval provides a range of values that is likely to contain a population parameter. The given task is to express the confidence interval in the form of a trilinear inequality.

**Problem Statement:**

Express the confidence interval \(21.4\% \pm 4.5\%\) in the form of a trilinear inequality.

**Instructions:**

- Calculate the lower bound of the confidence interval by subtracting the margin of error from the given percentage.
- Calculate the upper bound by adding the margin of error to the given percentage.
- Format the result as a trilinear inequality.

---

**Calculation:**

1. **Given values:**  
   - Confidence Interval: \(21.4\%\)
   - Margin of Error: \(\pm 4.5\%\)

2. **Lower Bound Calculation:**  
   \[
   21.4\% - 4.5\% = 16.9\%
   \]

3. **Upper Bound Calculation:**  
   \[
   21.4\% + 4.5\% = 25.9\%
   \]

4. **Trilinear Inequality Format:**  
   \[
   16.9\% < p < 25.9\%
   \]

**Conclusion:**

The confidence interval \(21.4\% \pm 4.5\%\) can be expressively and effectively stated as the trilinear inequality \(16.9\% < p < 25.9\%\). This represents the range within which the true population parameter \(p\) is expected to lie with a certain level of confidence.
Transcribed Image Text:Title: Understanding Confidence Intervals in Trilnear Inequalities --- **Expression of Confidence Interval** In statistical analysis, a confidence interval provides a range of values that is likely to contain a population parameter. The given task is to express the confidence interval in the form of a trilinear inequality. **Problem Statement:** Express the confidence interval \(21.4\% \pm 4.5\%\) in the form of a trilinear inequality. **Instructions:** - Calculate the lower bound of the confidence interval by subtracting the margin of error from the given percentage. - Calculate the upper bound by adding the margin of error to the given percentage. - Format the result as a trilinear inequality. --- **Calculation:** 1. **Given values:** - Confidence Interval: \(21.4\%\) - Margin of Error: \(\pm 4.5\%\) 2. **Lower Bound Calculation:** \[ 21.4\% - 4.5\% = 16.9\% \] 3. **Upper Bound Calculation:** \[ 21.4\% + 4.5\% = 25.9\% \] 4. **Trilinear Inequality Format:** \[ 16.9\% < p < 25.9\% \] **Conclusion:** The confidence interval \(21.4\% \pm 4.5\%\) can be expressively and effectively stated as the trilinear inequality \(16.9\% < p < 25.9\%\). This represents the range within which the true population parameter \(p\) is expected to lie with a certain level of confidence.
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