1.645 1.960 = 2.576 Jump to level 1 A poll reported 42% support for a statewide election with a margin of error of 2.13 percentage points. How many voters should be sampled for a 99% confidence interval? Round up to the nearest whole number. Ex: 1234 voters Check Next 3 Allen Brexit poll: Six months on Brits stand by EU referendum decision, ONN, 19 December 2016,

Algebra and Trigonometry (6th Edition)
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Author:Robert F. Blitzer
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ChapterP: Prerequisites: Fundamental Concepts Of Algebra
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Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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### Poll and Sample Size Calculation

**Problem Statement:**

A poll reported **42%** support for a statewide election with a margin of error of **2.13** percentage points.

**Question:**

How many voters should be sampled for a **99% confidence interval**? Round up to the nearest whole number.

**Input Field:**

\[ \text{Ex: 1234 voters} \]

**Buttons:**

1. Check
2. Next

**Steps to Calculate Sample Size:**
1. Identify the reported support percentage (proportion).
2. Determine the margin of error.
3. Utilize the z-value for the desired confidence level (e.g., 2.576 for 99% confidence).
4. Apply the sample size formula for proportions.

**Formula:**

\[ n = \left( \frac{Z^2 \cdot p \cdot (1-p)}{E^2} \right) \]

Where:
- \( n \) is the sample size
- \( Z \) is the z-value (2.576 for 99% confidence)
- \( p \) is the proportion (0.42 in this case)
- \( E \) is the margin of error (0.0213 in this case)

This exercise helps understand the process of determining sample sizes for surveys or polls to ensure a defined confidence level and margin of error.
Transcribed Image Text:### Poll and Sample Size Calculation **Problem Statement:** A poll reported **42%** support for a statewide election with a margin of error of **2.13** percentage points. **Question:** How many voters should be sampled for a **99% confidence interval**? Round up to the nearest whole number. **Input Field:** \[ \text{Ex: 1234 voters} \] **Buttons:** 1. Check 2. Next **Steps to Calculate Sample Size:** 1. Identify the reported support percentage (proportion). 2. Determine the margin of error. 3. Utilize the z-value for the desired confidence level (e.g., 2.576 for 99% confidence). 4. Apply the sample size formula for proportions. **Formula:** \[ n = \left( \frac{Z^2 \cdot p \cdot (1-p)}{E^2} \right) \] Where: - \( n \) is the sample size - \( Z \) is the z-value (2.576 for 99% confidence) - \( p \) is the proportion (0.42 in this case) - \( E \) is the margin of error (0.0213 in this case) This exercise helps understand the process of determining sample sizes for surveys or polls to ensure a defined confidence level and margin of error.
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