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**Educational Content: Determining Minimum Sample Size for Confidence Intervals**

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**Question:**

What is the minimal sample size needed for a 95% confidence interval to have a maximal margin of error of 0.02?

(a) If a preliminary estimate for \( p \) is 0.24?

- **Minimum Sample Size: [_______]**

(b) If there is no preliminary estimate for \( p \)?

- **Minimum Sample Size: [_______]**

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**Explanation:**

This question addresses calculating the minimum sample size required to achieve a specified margin of error for a confidence interval, an important concept in statistics. The sample size ensures that the estimates are reliable and precise. 

- **Given:** 
  - Confidence Level: 95%
  - Margin of Error: 0.02
- **Conditions:**
  - With a preliminary estimate of \( p \): Utilizes the known estimate to tailor the sample size.
  - Without a preliminary estimate of \( p \): Assumes the maximum variability scenario to ensure coverage.

Understanding how to determine the sample size helps in designing studies that yield valid and actionable conclusions.

**Note:**
Populate the answer fields with calculations or insights into determining sample sizes for these scenarios.
Transcribed Image Text:**Educational Content: Determining Minimum Sample Size for Confidence Intervals** --- **Question:** What is the minimal sample size needed for a 95% confidence interval to have a maximal margin of error of 0.02? (a) If a preliminary estimate for \( p \) is 0.24? - **Minimum Sample Size: [_______]** (b) If there is no preliminary estimate for \( p \)? - **Minimum Sample Size: [_______]** --- **Explanation:** This question addresses calculating the minimum sample size required to achieve a specified margin of error for a confidence interval, an important concept in statistics. The sample size ensures that the estimates are reliable and precise. - **Given:** - Confidence Level: 95% - Margin of Error: 0.02 - **Conditions:** - With a preliminary estimate of \( p \): Utilizes the known estimate to tailor the sample size. - Without a preliminary estimate of \( p \): Assumes the maximum variability scenario to ensure coverage. Understanding how to determine the sample size helps in designing studies that yield valid and actionable conclusions. **Note:** Populate the answer fields with calculations or insights into determining sample sizes for these scenarios.
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